Driving Trade Outcomes with Accomplice AI Options

Generative AI is remodeling the best way groups work throughout varied industries. In line with McKinsey’s ‘The state of AI in 2025’ report, 79% of organizations now use GenAI in at the very least one enterprise perform, up from 65% in 2024. From automated content material creation to AI-driven operations and customer support, these cross-functional use instances are driving deeper industry-specific transformation.

Trade leaders like Adidas, Royal Financial institution of Canada, Edmunds, ServiceNow, 7-Eleven and Lippert are deploying generative AI tailor-made to their distinctive challenges utilizing the Databricks Knowledge Intelligence Platform. For these, Databricks Consulting and SI companions accelerated that journey with ready-to-deploy options. For instance, Kids’s Nationwide Hospital labored with Slalom to remodel affected person care, decreasing mannequin coaching time from months to minutes, deploying agentic AI instruments to streamline scientific workflows, and scaling predictive analytics for important care. 

This weblog showcases revolutionary accomplice GenAI options constructed on the Databricks Knowledge Intelligence Platform throughout 5 {industry} classes:

1. Communications, Media and Leisure Trade
2. Monetary Providers
3. Healthcare and Life Sciences
4. Manufacturing & Power
5. Retail, Client Items, Journey & Hospitality

Featured companions embrace Accenture, Avanade, Bizmetric, Blueprint, Capgemini, Celebal Applied sciences, CI&T, Diggibyte, DataSentics, Elitmind, Entrada, EPAM, EY, Fractal, Genpact, Hexaware, Impetus, Indicium, Infogain, Infosys, Kubrick, Lingaro, Lovelytics,  LTIMindtree, MathCo, Neudesic, Ness, ORAYLIS, Persistent, Prodapt, Qubika, Sigmoid, Slalom, Syren, Tata Consultancy Providers, Tiger Analytics, Tredence, Wavicle Knowledge Options, Wipro, Xebia, zeb, Zensar and ZS.

Communications, Media and Leisure

Companions are constructing options that revolutionize content material lifecycle administration, enhance community operations, improve marketing campaign confidence, automate subject companies, and maximize return on advert spend. Options ship content material personalization and discovery that drive engagement, cut back churn, and maximize advert income:

Blueprint CampaignIQ

CampaignIQ by Blueprint is an AI-powered advertising intelligence platform that transforms how enterprises perceive, section, and activate buyer audiences. Constructed on the Databricks ecosystem, it unifies behavioral, transactional, and engagement knowledge right into a single supply of reality that simplifies viewers discovery and marketing campaign decisioning. With predictive scoring, clever suggestions, real-time insights, and automatic activation workflows, CampaignIQ helps groups launch extra exact and worthwhile campaigns. It reduces handbook evaluation, improves focusing on accuracy, and accelerates time-to-value so advertising organizations can improve ROI and reinvest in high-impact initiatives whereas sustaining governance and scalable operations.

Learn this weblog to learn the way CampaignIQ turns your buyer knowledge right into a unified engine for measurable development.

Impetus Community Site visitors Anomaly Detection Accelerator

Impetus’ Community Site visitors Anomaly Detection Accelerator leverages Databricks Agent Bricks to assist enterprises proactively detect, classify, and reply to anomalous or malicious community site visitors at scale. Utilizing a GenAI-powered Info Extraction agent, the answer transforms uncooked community telemetry into structured, actionable safety intelligence, considerably decreasing handbook evaluation and alert fatigue. It robotically analyzes packet conduct, assigns threat ranges, identifies menace patterns reminiscent of port scans or DDoS-like exercise, and recommends actions together with enable, monitor, examine, or block. Constructed on the Databricks Lakehouse with serverless compute and Unity Catalog governance, the accelerator delivers scalable, real-time safety intelligence for contemporary SOC operations. 

Learn this weblog to be taught extra about this accelerator.

Indicium AI Brokers for Site visitors and Adverts Efficiency Intelligence

Indicium’s AI Brokers for Site visitors and Adverts Efficiency Intelligence turns fragmented advertising knowledge into real-time efficiency intelligence for CMEG organizations. Constructed on Databricks Agent Bricks, it unifies social, search, programmatic, and net analytics knowledge in a single, ruled lakehouse with Unity Catalog. On prime of this basis, AI brokers repeatedly predict viewers engagement and conversion propensity, forecast advert spend effectivity and ROI earlier than funds is wasted, and suggest concrete optimization actions throughout channels. The result’s quicker selections, smarter media investments, and scalable development. Advertising and marketing groups transfer from static reporting to steady, AI-driven optimization that maximizes influence, effectivity, and measurable enterprise outcomes.

Learn this weblog to learn the way Indicium makes use of AI Brokers on the Databricks Lakehouse to unify cross-channel advertising knowledge and supply predictive insights that optimize marketing campaign ROI for enterprise-scale organizations.

Lovelytics Customerlytics

Viewers Intelligence Accelerator is a Databricks-native answer that unifies first- and third-party buyer knowledge to ship a real 360° buyer view. Constructed with a composable CDP framework and powered by identification decision, Customerlytics goals to allow real-time activation, personalised engagement, and scalable AI/ML-driven insights. By optimizing the worth of buyer knowledge via safe, real-time sharing between manufacturers, companies, and companions, it helps organizations unlock measurable enterprise influence — driving a 5–10% uplift in buyer conversion and 20–30% enchancment in advertising ROAS via unified knowledge, ruled activation, and smarter, data-driven selections.

Learn this buyer story and the weblog to learn the way Locality is redefining native promoting with unified viewers intelligence.

Lovelytics Networklytics

Networklytics (Community Intelligence Accelerator) is a Databricks-native answer that unifies OSS/BSS, CRM, telemetry, IVR, and environmental knowledge to ship an AI-driven view of community reliability and efficiency. Utilizing AI and machine studying for threat detection, root-cause prediction, capability forecasting, and proactive upkeep, it goals to allow closed-loop automation that writes insights again to OSS and ITSM programs in actual time. With Unity Catalog–based mostly governance and a shared reliability ontology (availability, MTTR, MTBF, capability, resilience), Networklytics helps Telco, Cable, and Enterprise operators improve uptime, cut back churn, and optimize operations via a scalable, extensible framework for contemporary community intelligence.

Learn this weblog to learn the way Lovelytics helped remodel reactive telecommunications operations into proactive, resilient networks.

Lovelytics Sportslytics

Sportlytics Sportlytics is a real-time sports activities analytics accelerator constructed by Lovelytics and Databricks to remodel streaming sports activities knowledge into actionable intelligence. The platform ingests gameplay, coaching, biometric, and third-party knowledge reminiscent of Catapult and Second Spectrum right into a unified Lakehouse, delivering close to real-time and historic insights via automated pipelines and BI dashboards. Groups obtain as much as 95% quicker insights, save 60+ hours per week by eliminating handbook processing, and profit from absolutely automated workflows that allow smarter selections on efficiency, well being, and technique in as little as 4 weeks.

Learn this weblog to learn the way Lovelytics helped the Philadelphia Union automate knowledge pipelines, saving 60 hours weekly and accelerating strategic insights.

Prodapt Telco B2B Order Administration

Constructed on the Databricks Knowledge Intelligence Platform, Telco B2B Order Administration builds an Order Digital Twin as a semantic layer aligned to TMF Open APIs. Agent Bricks runs agentic workflows that cause over order dependencies, detect fallout and SLA threat, and name BSS and OSS APIs to set off reprovisioning, reroutes, or case creation for closed loop automation. Unity Catalog ruled knowledge merchandise and streaming occasions preserve the dual present throughout CPQ, CRM, activation and assurance. Goal outcomes embrace 25% decrease fallout administration value, quicker entry to activate cycle time, and lowered income in danger.

Learn this weblog to learn the way Order Digital Twins and AI brokers on Databricks optimize and automate advanced telecom B2B supply.

Prodapt Subject Operations Transformation

Subject Operations Transformation unifies telemetry, tickets, work orders, stock and technician notes as Unity Catalog ruled knowledge merchandise on the Databricks Knowledge Intelligence Platform. Agent Bricks powers agentic dispatch and subject help workflows that suggest subsequent greatest actions and may replace FSM and OSS programs by way of APIs. Multimodal high quality checks use Agent Bricks Mannequin Serving to examine pictures and video of fiber splices or racks, performing as an AI supervisor to substantiate compliance earlier than the technician leaves. Targets embrace 15% enchancment in first time repair, fewer repeat dispatches, and decrease truck roll prices.

Learn this weblog to learn the way AI Subject Assistants and digital twins on Databricks optimize telco subject operations.

Wipro TelcoS&M

TelcoS&M, a part of Wipro Intelligence™, a unified suite of AI-powered platforms and options designed to speed up income development and elevate finish buyer expertise for Telcos globally via AI-driven transformation of the Gross sales & Advertising and marketing lifecycle. Constructed on the Databricks Knowledge Intelligence Platform, leveraging merchandise reminiscent of Agent Bricks, Delta Sharing and Unity Catalog, it allows proactive lead technology, hyper-personalized product suggestions, dynamic pricing fashions, streamlined onboarding & set up, Clever cross-sell and up-sell methods & enhanced service choices for improved buyer engagement.

Wipro VEAI

VEAI, a part of Wipro Intelligence™, is a unified suite of AI-powered platforms and options that creates magical moments for purchasers throughout industries reminiscent of leisure, sports activities, journey, retail, and extra. VEAI is integrating Wipro’s industry-leading digital expertise answer, Wipro VisionEDGE™, with the Databricks Knowledge Intelligence Platform to ship end-to-end venue transformation, immersive engagements, and personalised communication. This answer is designed to spice up income and elevate experiences by growing shopper participation via AI-assisted good mirrors, driving optimized promotions and immersive social partitions, decreasing wait occasions at concession stands and delivering personalised communications at scale.

Go to Wipro VisionEDGE™ to be taught extra about how the answer has remodeled 200+ venues throughout the globe.

Zensar ZenseAI.Knowledge (Telco, Media & Leisure and Expertise)

Telecom and Media & Leisure leaders are reimagining the longer term with AI-driven, real-time experiences powered by ruled knowledge. Databricks Knowledge Intelligence Platform gives the unified basis for analytics, ML, and GenAI at scale, whereas Zensar brings deep area experience and next-gen accelerators to operationalize innovation. Collectively, we allow autonomous, Agentic AI programs that be taught, adapt, and act—remodeling networks into resilient ecosystems and content material into hyper-personalized journeys. Zensar’s ZenseAI.Knowledge for automated DataOps, governance, and clever orchestration speed up time-to-value, whereas Databricks ensures elasticity and compliance. This partnership isn’t nearly expertise—it’s about shaping an AI-first future for Telecom and M&E.

Try this case research to learn the way Zensar reimagined name heart efficiency with Databricks.

Monetary Providers

Companions are delivering monetary companies options that drive development and effectivity whereas managing threat. These options concentrate on buyer 360 implementations to extend income and lifelong worth, wealth advisor productiveness, mortgage assessment automation, and dynamic underwriting to handle fraud threat:

Diggibyte FinQ

FinQ is an clever, agent-driven platform engineered to modernize Monetary Planning & Evaluation (FP&A). With deep finance-domain experience, it unifies budgets, forecasts, value buildings, and buyer knowledge right into a single linked view, eradicating silos that delay insights and weaken strategic readability. Not like conventional dashboards that cease at static snapshots, FinQ causes throughout monetary dimensions to floor predictive insights. It helps CFOs optimize capital allocation, safeguard liquidity, and unlock development. By automating reconciliation and evaluation, it accelerates planning cycles and frees groups to concentrate on technique and state of affairs modeling. Collaboration throughout finance, gross sales, provide chain, and operations ensures enterprise-wide alignment and agility.

Learn this weblog to learn the way FinQ transforms monetary knowledge into actionable, strategic narratives for CFOs.

EY Clever Mortgage Doc Processing

EY’s Clever Mortgage Doc Processing modernizes mortgage assessment by automating knowledge extraction, validation, curation, and evaluation on Databricks Knowledge Intelligence Platform with Agent Bricks. The answer combines open supply and proprietary AI instruments to parse mortgage recordsdata, extract knowledge fields, reconcile with supply programs, and validate towards enterprise guidelines and regulatory requirements. AI-powered brokers dynamically orchestrate workflows with built-in traceability linking extracted knowledge to supply paperwork. An built-in RAG-based chatbot allows real-time doc search and validation. The answer reduces handbook effort by as much as 60%, enhances accuracy and compliance with explainable AI, and auto-generates credit score summaries and exception alerts, permitting establishments to scale operations whereas making certain knowledge integrity and audit readiness.

Fractal Analytics Asset and Wealth Administration

Fractal’s Asset and Wealth Administration answer helps monetary establishments modernize gross sales, portfolio administration, and operations with AI, engineering, and human-centered design. It addresses challenges reminiscent of fragmented knowledge, handbook processes, and restricted personalization throughout gross sales, funding, operations, and consumer service features. Prepared-to-deploy GenAI instruments like Cogentiq Gross sales Help streamline gross sales cycles with personalised insights and real-time suggestions. Pre-built accelerators automate reconciliation, fund reporting, onboarding and KYC, and ESG analytics to cut back errors, enhance compliance, and improve consumer experiences. Customized options additional adapt AI-driven methods to unlock AUM development and clear enterprise outcomes.

Be taught extra about how Fractal fuses knowledge, AI, and human-centered design to remodel asset and wealth administration.

Indicium AI Brokers for Portfolio Intelligence 

Constructed on Databricks, Indicium’s AI Brokers for Portfolio Intelligence function as autonomous portfolio managers — analyzing publicity, monitoring P&L traits, and recommending actions in actual time. Combining ruled monetary knowledge, agentic AI, and proprietary IP, these brokers perceive market dynamics and portfolio conduct, surfacing dangers and alternatives throughout methods. Designed for capital markets companies, the answer augments funding decision-making with steady intelligence, enhancing threat administration, pace, and efficiency — all powered by the Databricks Knowledge Intelligence Platform.

Learn this weblog to learn the way this accelerator helps capital markets groups transfer from reactive monitoring to proactive, data-driven decision-making.

LTIMindtree Cash in Movement

The Cash in Movement (MIM) framework by LTIMindtree helps banks flip uncooked knowledge into actionable insights for income development, retention, and effectivity. Constructed on the Databricks Knowledge Intelligence Platform, MIM unifies structured and unstructured knowledge for real-time analytics and predictive modelling. It monetises transactional intelligence via scalable ingestion, mannequin monitoring, and safe governance utilizing Delta Lake, MLflow, Unity Catalog, and AI/BI Genie. Its six-step course of allows anomaly detection, intent identification by way of NLP, entity decision, transaction classification, payout prediction, and personalised insights. Impression for main banks embrace: 20-30% rise in cross-sell/up-sell income, 12% increase in inside gross sales, ~10% higher marketing campaign effectiveness, 9% improve in web curiosity earnings and 12% development in asset e-book dimension.

Ness AI powered Excellence in Insights (AIPEX)

The AI powered Excellence in Insights (AIPEX) for monetary companies answer by Ness gives the power to ingest knowledge from disparate sources, merchandise and codecs into the Databricks lakehouse, to discover, question and wrangle along with your knowledge utilizing pure language, to extract the information into spreadsheets or notebooks and execute fashions. It makes use of Agent Bricks to create brokers to then efficiently automate and increase repetitive operational processes in banks, insurance coverage and monetary advisors in a compliant and intuitive method.  It permits enterprise customers so as to add new knowledge sources shortly and experiment with course of enhancements in a Databricks surroundings.

Ness Capital Markets Buying and selling Intelligence 

The Capital Markets Buying and selling Intelligence answer ingests massive streams of information in close to real-time from disparate sources like market knowledge, pricing, FX, and portfolio info; performs aggregations and calculations of limits and exposures at varied ranges; creates enterprise occasions when thresholds are breached; and provides context knowledge powered by Agent Bricks to drive downstream selections in compliance, threat, product, and entrance desk workflow programs. It permits for storing the historical past of intraday occasions and insights to make selections from varied dimensions in comparison with the end-of-day processes used as we speak. The answer leverages the Databricks Knowledge Intelligence Platform, enabling knowledge monetization for finish prospects.

Ness Fin Crimes Intelligence (FINCRINT) 

The Fin Crimes Intelligence (FINCRINT) answer gives the aptitude to handle and prioritize alerts (auto-close, low to excessive threat), enrich alerts utilizing Agent Bricks to assemble instances for investigations and associated types, orchestrate dynamic workflows to allow human intervention as wanted, and deploy chatbots to assist with processes and subtasks for investigators. Constructed on the Databricks Knowledge Intelligence Platform, the answer helps cut back false positives, handles excessive ranges of churn in investigators, gives systemic experience to customers throughout all ranges, and reduces the backlog of alerts to remain in compliance with laws. It augments present fraud options by leveraging APIs for fashions and coverage guidelines.

Persistent Dangerous Service provider

Persistent’s Dangerous Service provider answer transforms service provider threat administration from reactive “catch-and-fix” to proactive “predict-and-prevent.” Constructed on Databricks, it unifies transaction, compliance, behavioral, and sentiment alerts right into a ruled, real-time intelligence layer. Utilizing machine studying fashions, steady multi-signal monitoring, and human-supervised automated actions orchestrated via Databricks Agent Bricks, Dangerous Service provider detects rising dangers early and acts with precision and transparency. This built-in method reduces fraud losses, strengthens compliance oversight, accelerates analyst productiveness, and delivers a scalable, future-ready protection for contemporary digital finance.

Learn this weblog to learn to leverage agentic AI to undertake a “predict-and-prevent” posture that protects the monetary companies ecosystem from unseen liabilities throughout the portfolio.

Qubika Monetary Analyst AI Agent

Qubika’s Finance Analyst AI Agent modernizes enterprise finance by eliminating knowledge silos, decreasing handbook reporting, and accelerating entry to insights. Questions that beforehand required hours of analyst effort could be answered in minutes. With monetary area intelligence, the agent allows self-service analytics for executives whereas delivering correct, traceable, and audit-ready outcomes. Organizations utilizing the Monetary Analyst AI Agent report 90% quicker time to insights and a 70% discount in ad-hoc analyst requests, all with built-in governance and compliance. The answer is a compound AI system constructed on the Databricks Lakehouse with LangGraph orchestration. It integrates seamlessly with instruments reminiscent of Slack, Groups, CRMs, and enterprise dashboards.

Learn this weblog to see how the agent delivers a leap ahead in monetary intelligence.

Slalom Insurance coverage 360

Insurance coverage 360 is a turnkey answer constructed on Databricks that unifies fragmented enterprise knowledge throughout info silos providing quicker onboarding and transformation of structured and unstructured knowledge property by way of customizable configuration pushed knowledge pipelines and Agent Bricks-assisted info extraction brokers; enabling configurable automation for lowered engineering effort following an insurance coverage {industry} commonplace knowledge mannequin establishing an insurance coverage lakehouse basis. The answer gives Doc Intelligence for coverage insights via a specialised RAG answer. It additionally empowers Underwriters and Claims managers with self-service analytics and AI-enabled exploration utilizing Genie-powered pure language queries and educated Genie areas, finally fostering knowledge democratization throughout the enterprise breaking down departmental knowledge silos.

Learn this weblog to learn the way Insurance coverage 360 transforms fragmented insurance coverage knowledge right into a development engine that drives pace, effectivity, and higher enterprise outcomes.

Tiger Analytics Monetary Advisor Assistant

The Monetary Advisor Assistant is a GenAI-powered answer designed to deal with handbook, time-consuming funding analysis. Skilled on financials, market alerts, and sentiment knowledge, it empowers traders to make quicker, data-backed selections throughout sectors and portfolios. The platform delivers Complete Market Intelligence with real-time updates on indices like NASDAQ and NIFTY50. Its GenAI-driven insights uniquely merge sentiment evaluation with forecast modeling to evaluate market influence. Moreover, the assistant options buyer analysis instruments for producing detailed firm studies and a Information & Insights Feed geared up with sentiment indicators to visualise potential portfolio impacts throughout various market situations.

Learn this weblog to learn to strengthen advisory workflows and unlock a extra adaptive, intelligence-rich analysis mannequin.

Tiger Analytics Mannequin Threat and AI Governance

Mannequin Threat and AI Governance is a scalable, Databricks-native answer from Tiger Analytics that unifies Mannequin Threat Administration with AI governance for BFSI enterprises. It delivers end-to-end lifecycle management, from stock and validation to steady monitoring, drift detection, equity evaluation, and audit-ready reporting. Constructed on regulatory greatest practices and Databricks observability, it ensures transparency, reproducibility, and moral AI deployment throughout credit score threat, fraud, underwriting, and buyer fashions. By automating workflows and integrating compliance controls, the answer reduces handbook effort by 60-80%, accelerates approvals, mitigates bias and drift dangers, and builds enterprise belief, enabling secure, accountable AI scaling.

Learn this weblog to be taught why Mannequin Threat Administration is extra related than ever and the way AI has reshaped the chance panorama.

Tredence ATOM for Agentic AI (Fraud Protection)

A number one Tier-1 monetary establishment remodeled its fraud detection by deploying a multi-agent AI structure on Databricks. Confronted with rising fraud threat and handbook, document-heavy workflows, the group automated processing throughout greater than 3.6 million monetary data. Specialised AI brokers have been built-in to extract, validate, and analyze paperwork in close to actual time, accelerating investigations and decreasing friction. Tredence introduced deep experience in fraud detection and multi-agent AI design, constructing sturdy agent integrations and the information basis required to scale securely. Constructed on Databricks’ Knowledge Intelligence Platform, the establishment achieved compliant, scalable doc intelligence and a stronger fraud prevention framework.

Learn this weblog to be taught extra about how this monetary establishment was in a position to modernize their capabilities.

Wipro WealthAI

WealthAI, a part of Wipro Intelligence™, a unified suite of AI-powered platforms, options and transformative choices, improves monetary advisor productiveness and strengthens buyer relationships. WealthAI leverages the Databricks Knowledge Intelligence platform to unify fragmented wealth administration programs and ship AI-powered consumer intelligence. By leveraging Agent Bricks to remodel key processes and consolidating knowledge below safe governance with Unity Catalog, it allows hyper-personalized advisory via a 360° consumer view and drives predictive insights utilizing AI brokers and pure language analytics. WealthAI options embrace automated workflows that streamline onboarding, KYC, and portfolio rebalancing, whereas Delta Sharing allows safe, compliant knowledge alternate.

Learn this text to find actionable insights on AI in wealth administration.

Xebia Agentic Catastrophic Threat Answer

Xebia’s Agentic Catastrophic Threat Answer shifts disaster underwriting from a reactive, handbook course of to a repeatedly adaptive, AI-driven functionality. By combining agentic reasoning, predictive forecasting, and real-time geospatial intelligence, the answer delivers up-to-date threat assessments throughout floods, wildfires, windstorms, and different catastrophic occasions. Organizations acquire clearer visibility into publicity and portfolio threat, whereas underwriters obtain assured, guideline-aligned suggestions supported by clear, audit-ready reasoning. Seamlessly built-in with present underwriting and coverage programs, the platform accelerates decision-making, improves pricing accuracy, strengthens regulatory compliance, and helps cut back loss ratios—enabling insurers to reply proactively to growing local weather volatility.

Learn this white paper and weblog to learn the way Agentic AI is remodeling CAT and property claims by delivering quicker, fairer, and absolutely explainable outcomes.

zeb Agentic Grasp Knowledge Administration (MDM) for Monetary Providers

zeb’s Agentic Grasp Knowledge Administration (MDM) for Monetary Providers accelerator automates and unifies fragmented knowledge reconciliation utilizing agentic AI and Agent Bricks intelligently on the Databricks Lakehouse with native integrations to D&B, Moody’s, and so forth. It consolidates funds, securities, counterparties, and consumer knowledge right into a single supply of reality whereas making certain compliance with CCPA and GDPR. With Unity Catalog for safety and governance, it reduces handbook reconciliation efforts by as much as 90% and allows AI-ready knowledge for threat administration and innovation.

Learn this weblog to learn the way this accelerator brings agent-driven perception, automated entity unification, and centrally ruled mastering into one streamlined framework.

Zensar ZenseAI.Knowledge (Insurance coverage)

Within the digital economic system, insurers should overcome knowledge silos, legacy programs, and regulatory pressures to remain aggressive. Zensar, in partnership with Databricks, gives ZenseAI.Knowledge, an accelerator that allows knowledge democratization, governance, agility, and GenAI integration throughout the insurance coverage worth chain. It simplifies legacy migration, leverages Databricks Lakehouse for unified analytics, and delivers outcomes like quicker underwriting, fraud detection, and improved compliance. With confirmed outcomes—as much as 50% knowledge high quality enchancment and 30% value discount—Zensar helps insurers shift from reactive reporting to predictive insights and deploy GenAI-powered options for transformation and development.

Learn this weblog to be taught how one can unlock insights, modernize legacy programs, and energy GenAI-driven transformation with Zensar and Databricks.

Healthcare and Life Sciences

Companions are accelerating scientific breakthroughs and enhancing affected person outcomes. Life sciences options goal drug discovery, manufacturing, and business effectiveness, whereas healthcare options concentrate on affected person outcomes, streamlined operations, and high quality of care. These options present complete affected person insights, end-to-end provide chain visibility, scientific trial automation, and precision drugs capabilities:

Capgemini Well being Care Brokers

Healthcare programs face fragmented knowledge silos throughout outpatient care, pathology, remedy planning, and pharmacy—delaying selections, growing prices, and risking affected person security. Well being Care Brokers, a Multi-Agent Supervisor Answer on Databricks Agent Bricks, addresses this via 4 specialised area brokers orchestrated below Unity Catalog governance. The structure ensures seamless collaboration and knowledge circulation, with an intuitive Databricks Apps front-end delivering a clinician-friendly expertise. This built-in ecosystem allows quicker scientific selections, improved affected person outcomes, and optimized operational efficiency throughout the healthcare supply continuum. Be taught extra about this answer within the publish right here. 

Entrada Affected person 360 

Entrada’s Affected person 360 answer on Databricks unifies numerous knowledge — EHRs, claims, genomics, wearables — right into a single, complete affected person view. This composable, scalable platform simplifies pipelines for fast onboarding and enhanced knowledge high quality. Constructed-in governance and compliance options safeguard privateness and meet regulatory wants. Leveraging superior AI and predictive modeling, Affected person 360 allows organizations to course of knowledge shortly, unlock real-time insights, and determine high-risk sufferers for proactive scientific decision-making and improved outcomes.

Learn this weblog to learn to course of large datasets at excessive pace, unlock real-time insights, and apply predictive fashions to determine high-risk sufferers and allow proactive interventions. 

EPAM SafeAI Chatbot 

EPAM’s Protected AI Chatbot on Databricks brings conversational AI to regulated, high-risk environments with strict governance. In 4–6 week proof-of-concept engagements, EPAM configures agentic workflows educated on enterprise context to interpret consumer intent whereas serving solely validated, pre-approved responses from curated static content material libraries. This “select-not-generate” method eliminates unpredictability in generative programs, making certain each output is dependable, auditable, and policy-aligned, whereas delivering quick and intuitive self-service for workers and prospects. Working with Databricks, EPAM accelerates the setup of safe knowledge and orchestration layers, builds curated response foundations, and deploys tooling for secure, scalable conversational AI pilots in regulated environments.

Fractal Well being Triage 

Fractal’s Well being Triage allows payers and suppliers to maneuver from reactive care to proactive and preventive well being administration. It harmonizes knowledge from a number of sources to create complete member profiles and makes use of AI-driven insights to determine at-risk members, prioritize interventions, and personalize engagement. By integrating seamlessly with present Care Administration platforms, Well being Triage helps care groups coordinate actions, ship focused interventions, and repeatedly enhance outcomes via suggestions loops. This leads to higher member well being and improved operational effectivity.

Try this weblog to learn the way Well being Triage helps payers ship smarter, proactive care.

Genpact FAIRBricks 

Genpact’s FAIRBricks, constructed on Databricks Knowledge Intelligence Platform, transforms life sciences R&D knowledge right into a strategic asset by embedding FAIR rules—Findable, Accessible, Interoperable, and Reusable—into workflows. It addresses fragmented, siloed knowledge that slows innovation by making a unified knowledge cloth utilizing Databricks’ Unity Catalog. FAIRBricks standardizes ingestion, governance, and interoperability, enabling seamless collaboration and accelerating analytics and AI adoption. This end-to-end framework simplifies knowledge administration with out including complexity, making certain structured, reusable datasets for quicker insights and improved outcomes. By operationalizing FAIR rules at scale, FAIRBricks unlocks the total potential of scientific knowledge, driving effectivity, compliance, and discovery throughout trendy analysis ecosystems.

Learn this weblog to be taught extra and go to this web page for extra particulars concerning the answer.

Genpact FHIRIgnite 

Genpact’s FHIRIgnite simplifies healthcare knowledge integration by leveraging Databricks Knowledge Intelligence Platform as its basis. This clever, no-code mapping platform addresses interoperability challenges by enabling clinicians and analysts—not simply engineers—to unify disparate knowledge codecs like FHIR, HL7 v2, CDA, and proprietary schemas via a drag-and-drop interface. Constructed on Databricks, it helps scalable, bidirectional knowledge flows, accelerating analytics, AI growth, and care coordination. By eliminating months of handbook coding, FHIRIgnite reduces technical bottlenecks, lowers prices, and empowers area consultants to create unified affected person views. The consequence: actionable insights, improved outcomes, and operational flexibility for contemporary healthcare ecosystems.

Learn this weblog to be taught extra and go to this web page for extra particulars concerning the answer.

Hexaware Incident Decision Assistant

Incident Decision Assistant powered by Agentic AI and Databricks accelerates incident decision with clever insights and quicker retrieval. This AI-driven answer leverages Databricks’ unified platform to streamline incident identification and determination throughout ETL pipelines. Utilizing the Databricks Agent Bricks agentic framework, two specialised brokers—Summarization and Key Info Extraction—retrieve comparable historic incidents, synthesize resolutions from a number of sources, and ship actionable insights via an intuitive dashboard. The answer achieves 67% quicker decision occasions, 3X effectivity features via Conversational AI, and seamless historic knowledge integration. Organizations can optimize incident-management workflows, enhance SLA response occasions, and unlock Databricks’ full potential for scalable analytics and operational excellence.

Learn this flyer to discover how Incident Decision Assistant ensures scalable, clever, and real-time entry to operational data.

MathCo Affected person Assist Packages

MathCo helped a world pharmaceutical consumer remodel Affected person Assist Packages (PSPs) utilizing hyper-personalization. By integrating affected person surveys, claims, scientific, and engagement knowledge on Databricks Knowledge Intelligence Platform, MathCo constructed scalable Affected person 360 analytics and AI-driven personalization. The answer enabled tailor-made monetary help, proactive adherence help, and individualized instructional content material, enhancing engagement and remedy outcomes. Automated state of affairs simulations and explainable suggestions lowered handbook effort and standardized PSP effectiveness throughout manufacturers. MathCo’s method delivered measurable outcomes: deeper insights into affected person conduct, enhanced adherence, and a reusable analytics framework, empowering the consumer to implement patient-centric, data-driven PSPs at scale.

Learn this text to learn to guarantee safe governance, regulatory compliance, efficiency, and price effectivity for world PSP operations.

MathCo Gross sales Rep Assistant (RepGPT)

MathCo’s Gross sales Rep Assistant (RepGPT), a multi-agent AI platform constructed on Databricks, remodeled pharmaceutical engagement for a number one world firm by unifying fragmented knowledge, automating workflows, and delivering real-time, actionable insights. The answer enabled MSLs, PMLs, and gross sales reps to entry scientific, CRM, and market intelligence via pure language queries, streamlining pre-call planning, KOL prioritization, and engagement monitoring. Key outcomes included 60% discount in administrative prep time, 30% enchancment in HCP engagement high quality, 50% fewer repetitive duties, and a 25% increase in rep productiveness. RepGPT empowers pharma professionals to make quicker, smarter selections and drive measurable enterprise influence.

Learn this text to learn to help real-time retrieval, reasoning, and synthesis throughout structured and unstructured knowledge sources for RepGPT workflows.

Sigmoid Claims AI 

In shopper healthcare, product claims drive model belief and buying selections, but many organizations depend on handbook processes that gradual growth and produce generic messaging. Sigmoid’s Claims AI answer, constructed on Databricks Agent Bricks, unifies scientific proof, shopper sentiment, and aggressive intelligence right into a GenAI-driven workflow. It processes critiques, social conversations, and surveys to extract themes and emotion scores whereas robotically mapping claims to scientific sources with proof energy rankings. A reasoning agent synthesizes these inputs into differentiated, brand-aligned claims with automated validation for accuracy and regulatory compliance. A number one healthcare model lowered declare growth timelines by 90%, saving $93K month-to-month in analysis prices whereas standardizing workflows throughout 200+ markets, delivering quicker innovation and stronger aggressive differentiation.

Slalom Medical Knowledge 360

Slalom’s Medical Knowledge 360 is a Databricks Brickbuilder Answer that quickly unifies multimodal scientific and real-world knowledge on the Databricks lakehouse. It allows life sciences groups to cause throughout affected person journeys, trials, and outcomes utilizing ruled, AI-ready knowledge — delivering insights which might be reliable, compliant, and scalable throughout the enterprise.

Learn this weblog to learn to activate scientific and real-world knowledge for quicker, extra assured selections.

Syren On-Time In-Full Supply

On-Time In-Full Supply (OTIF-D) is mission-critical within the Well being & Life Sciences sector, the place each order instantly impacts affected person care, compliance, and provide chain continuity. Constructed on Databricks and powered by GenAI, Syren’s OTIF-D answer unifies fragmented success knowledge, predicts supply dangers, and proactively flags delays utilizing historic and real-time alerts from manufacturing, logistics, and accomplice programs. The platform automates root-cause insights, improves supply accuracy, and ensures dependable, compliant, and on-schedule fulfilment throughout world HLS operations. By combining Databricks Lakehouse, Gen-AI-powered intelligence framework, and Syren’s area experience, enterprises obtain larger OTIF efficiency, decrease prices, and stronger provide chain resilience.

Learn this weblog to learn the way Syren gives exact lead-time planning, correct forecasting, synchronized logistics, and uncompromised knowledge integrity.

Tiger Analytics Medical Research Report Generator 

The Medical Research Report Generator is a GenAI-powered answer designed to automate scientific trial documentation, addressing the handbook effort and error dangers related to FDA Security Analysis Stories. By automating knowledge extraction and summarization, it allows the fast, correct creation of FDA-compliant paperwork. The answer includes 4 key parts: a Knowledge Parsing module for extracting structured knowledge; a GenAI Summarization Module utilizing LLMs for security summaries; a GenAI Report Builder Engine to assemble FDA-aligned studies; and a Validation Assistant for human-in-the-loop assessment. This complete method streamlines regulatory reporting whereas making certain excessive accuracy via immediate tuning.

Learn this weblog to learn the way GenAI is reshaping regulatory documentation and bringing new precision and scalability to Medical Research Report creation.

Tiger Analytics Subsequent Greatest Motion 

Subsequent Greatest Motion (NBA) is an AI-powered framework that makes use of real-time knowledge, machine studying, and predictive analytics to find out the simplest interplay for every buyer at any second. It analyzes conduct, context, and historical past to ship personalised suggestions, gives, or resolutions throughout channels. Not like conventional batch campaigns, NBA allows true one-to-one advertising, optimizing buyer expertise whereas driving enterprise outcomes like larger conversion, retention, and lifelong worth. This answer gives sturdy NBA capabilities, serving to organizations shift from reactive service to proactive, customer-centric engagement that builds loyalty and income.

Learn this weblog to learn the way life sciences organizations can ship well timed, tailor-made suggestions that maximize the influence of each single HCP interplay.

Tredence ATOM for Agentic AI (Root Trigger Evaluation)

Within the pharmaceutical {industry}, efficient root trigger evaluation calls for seamless connection of disparate knowledge sources, scientific trial outcomes, adversarial occasion studies, manufacturing logs, and regulatory paperwork. A data graph is important to hint advanced causal relationships throughout the drug lifecycle, from molecular interactions to affected person outcomes. Tredence brings deep pharma and knowledge science experience to design and operationalize this intelligence layer, whereas Databricks delivers the scalable knowledge and AI basis to ingest, harmonize, and put together datasets. Collectively, they help real-time sample detection and multi-hop reasoning, decreasing investigations from weeks to hours and uncovering insights conventional programs miss.

Learn this weblog to learn the way a a $50B pharma chief used a GenAI-powered RCA agent and data graphs on Databricks to cut back diagnostic time by 60% and eradicate provide chain silos.

ZS Enterprise Threat Administration 

ZS has developed a cutting-edge Enterprise Threat Administration answer leveraging the Databricks Knowledge Intelligence Platform to revolutionize how organizations mine public analyst studies for rising dangers. With real-world deployments and measurable influence, it’s a compelling providing for pharma and monetary companies groups searching for to modernize threat intelligence.

Watch this on-demand webinar to learn the way Gilead makes use of GenAI to remodel threat administration.

Manufacturing & Power

Companions are serving to prospects increase income, optimize prices, and enhance industrial productiveness whereas constructing provide chain and monetary resilience. Options embrace AI-powered defect detection, situation evaluation, superior analytics for utility meters and grid modernization, provide chain optimization, and contract workflow automation:

Avanade AI-Powered Buyer Expertise 

Avanade’s AI-Powered Buyer Expertise (ACE) answer leverages Databricks Agent Bricks to remodel customer support for vitality and utilities organizations going through market volatility and regulatory calls for. ACE combines Avanade’s Agent Framework and RAG Toolkit to deploy clever brokers that ship immediate responses to buyer queries, automate compliance doc search, and supply personalised vitality effectivity insights. Built-in with Databricks’ Knowledge Intelligence Platform, the answer allows sturdy governance, steady monitoring, and scalable agent lifecycle administration. By automating handbook processes, ACE drives vital value financial savings and boosts buyer satisfaction, with real-world deployments reaching as much as 70% discount in compliance retrieval time and quicker help ticket decision, empowering groups to ship revolutionary, data-driven experiences whereas adapting shortly to {industry} challenges.

Bizmetric FlowAgent – AI Pushed Workflow Enforcement

FlowAgent is an AI infused workflow orchestration answer that turns SOPs into enforced, executable processes. Utilizing agentic AI, FlowAgent robotically interprets insurance policies, assigns possession, sequences duties, and screens execution in actual time, decreasing the psychological load on course of house owners who would in any other case handle observe ups, exceptions, and standing monitoring manually. Constructed to combine with present HR, HSE, and entry programs and supported by trendy knowledge platforms like Databricks, FlowAgent gives a single execution layer that ensures work is accomplished accurately, persistently, and safely earlier than important operations start. Learn this weblog to be taught extra.

Bizmetric OT AI Platform – Asset and Course of Reliability Platform

The OT AI Platform is an AI infused asset and course of reliability answer designed for industrial operations. It combines sensor knowledge, asset fashions, and plant documentation to foretell failures, detect anomalies, and information operators via root trigger evaluation in actual time. A GenAI Copilot helps commonplace working procedures, diagnostics, and security queries utilizing human-like reasoning. The platform maps reside plant knowledge to asset parameters, trains and deploys fashions, and explains contributing elements with actionable suggestions. Constructed on Databricks, it scales securely throughout vegetation whereas decreasing operator cognitive load and enhancing uptime, security, and efficiency. Learn this weblog to be taught extra.

Bizmetric SafeVisionAI – Scalable Pc Imaginative and prescient Security Platform 

SafeVisionAI is an AI powered laptop imaginative and prescient answer for actual time hazard detection and security monitoring in industrial environments. It analyzes reside digicam feeds and sensor knowledge to determine unsafe behaviors, PPE non compliance, restricted space entry, and environmental dangers. The platform triggers automated alerts, logs incidents for compliance, and allows steady 24×7 monitoring with out handbook supervision. By remodeling video knowledge into actionable security intelligence, SafeVisionAI reduces accidents, improves regulatory compliance, and strengthens general office security throughout factories, vegetation, and excessive threat operational zones. Learn this weblog to be taught extra.

Celebal Applied sciences CT Imaginative and prescient 

CT Imaginative and prescient by Celebal Applied sciences transforms video streams into actionable enterprise intelligence on the Databricks lakehouse. This answer combines multimodal and agentic AI to investigate visible knowledge with unprecedented precision and pace throughout manufacturing, development, retail, and vitality sectors. Its Clever Agent Framework deploys customizable AI brokers that detect anomalies, guarantee compliance, improve security, and predict operational dangers in actual time. By fusing visible, textual, and temporal analytics into Databricks’ unified infrastructure, CT Imaginative and prescient delivers measurable outcomes—lowered downtime, improved workforce security, and elevated determination accuracy—serving to enterprises remodel passive remark into proactive intelligence throughout industries.

Learn this weblog to learn the way CT Imaginative and prescient creates a dynamic ecosystem of clever, task-specific AI brokers that remodel visible knowledge into real-time enterprise insights.

Elitmind Concord

Concord is an AI-powered reconciliation platform that ensures buyer data are correct, constant, and unified throughout all programs. The answer robotically validates, cleanses, and corrects buyer tackle knowledge towards official territorial registers, built-in with Databricks for scalable and safe processing. For a serious vitality supplier’s mass mailing marketing campaign, Concord accomplished tackle knowledge cleaning of 100,000 unmatched data in simply 1 hour 11 minutes – 53% quicker than the two.5-hour goal. These data had no matches within the buyer database, requiring full tackle standardization and validation. By eliminating knowledge inconsistencies, decreasing operational prices, and making certain compliance with nationwide requirements, Concord delivered distinctive pace and accuracy for high-volume knowledge duties.

EY Geospatial Enterprise AI 

EY’s Geospatial Enterprise AI answer unlocks geospatial knowledge worth by streamlining integration with enterprise datasets on Databricks Intelligence Platform utilizing Unity Catalog, Lakeflow, and Serverless capabilities. The answer addresses challenges organizations face when platforms lack integrations for advanced geospatial codecs, creating missed alternatives. It delivers AI-ready datasets in open codecs, considerably decreasing knowledge engineering effort and accelerating mannequin deployment throughout provide chain, monetary planning, and asset threat modeling use instances. Designed for organizations leveraging geospatial and enterprise knowledge with AI, the answer combines intuitive integration, Databricks AI-enabled experiences, and the EY group’s optimization experience to remodel Earth info into strategic benefits for driving development, effectivity, and resilience.

Watch this video to learn to elevate your decision-making with a brand new layer of insights.*

Lovelytics Gridlytics 

Gridlytics AI is a purpose-built accelerator that helps utilities modernize grid operations via AI-driven insights and scalable knowledge options. By unifying environmental alerts, asset efficiency metrics, and subject knowledge inside a ruled Lakehouse structure, Gridlytics AI empowers grid operators to proactively assess threat, automate handbook workflows, and make quicker, data-driven selections. With options like pure language querying, automated threat evaluation, and GenAI-powered work order creation, utilities can cut back unplanned outages, improve operational effectivity, and ship a superior buyer expertise—all whereas streamlining compliance reporting and capital planning. 

Learn this weblog to learn the way Gridlytics helps utilities unify knowledge silos, automate important workflows, and leverage interpretive and agentic AI to drive smarter decision-making throughout grid operations.

MathCo Manufacturing Scheduling Optimization

Confronted with inefficiencies and missed deadlines, a number one beverage producer turned to MathCo’s AI-powered scheduling optimization to unify planning, scheduling, and execution throughout six websites. Leveraging superior AI, human-in-the-loop oversight, and seamless ERP integration, the answer lowered report technology from over six hours to below quarter-hour per website per day and saved 24,000+ planner hours yearly. Steady schedule optimization improved responsiveness, minimized product losses, and enhanced operational productiveness. By augmenting present programs with out disrupting core processes, MathCo delivered a resilient, insight-driven scheduling functionality that empowers manufacturing groups to make quicker, smarter, and extra dependable selections.

Learn this text to learn the way this answer enhances present ERP and scheduling platforms and provides an clever optimization layer on prime of established processes.

Neudesic Transformer Load Administration

With out visibility into growing older and overloaded transformers, utilities threat surprising failures, pricey outages and inefficient infrastructure planning. Neudesic’s Transformer Load Administration answer allows utilities to observe and handle the well being of distribution transformers utilizing good meter knowledge, thermal modeling and predictive analytics. It additionally features a pure language interface, Discuss With My Transformer, that permits operators to question transformer knowledge conversationally, accelerating insights and decision-making.

Watch this video to see how Neudesic boosts grid reliability and cuts failures by 50%.

ORAYLIS Contract Assistant

The ORAYLIS Contract Assistant is an AI-powered accomplice for managing and creating contracts and different enterprise paperwork constructed on Azure Databricks for high-performance knowledge processing and scalability. It analyzes your present paperwork, captures their construction, formatting, and wording patterns, and applies this information that can assist you generate new contracts or functions in a fraction of the same old time. By leveraging your confirmed templates and previous submissions, it ensures consistency, compliance, {and professional} high quality whereas holding you in full management of each change. The modular and extensible structure makes it straightforward so as to add new capabilities as processes and necessities evolve.

Learn this weblog to learn the way the Contract Assistant on Azure Databricks accelerates contract creation with AI-driven drafting, compliance checks, and standardized language throughout your paperwork.

ORAYLIS Multilingual Order Agent 

The ORAYLIS Multilingual Order Agent is an clever voice processing answer constructed on Azure Databricks using Mosaic AI to streamline order consumption processes. It robotically understands and extracts structured order info from buyer calls in a number of languages. By evaluating acknowledged speech with a grasp product catalog saved and processed in Databricks, the agent generates a structured, tabular order abstract which makes it prepared for seamless integration into ERP or ordering programs.

Learn this weblog to find how the Multilingual Order Agent on Azure Databricks automates phone-based order consumption and transforms unstructured conversations into clear, structured knowledge at scale.

Sigmoid Product Suggestion 

In B2B manufacturing, quick and correct product suggestions are important for buyer responsiveness and portfolio optimization, but most organizations depend on handbook, expertise-heavy processes that gradual response occasions and introduce inconsistencies. Sigmoid’s Product Suggestion answer, constructed utilizing the Agent Bricks Framework, automates all the inquiry-to-recommendation workflow by ingesting buyer briefs and utilizing specialised brokers to interpret necessities, extract attributes, and match them with appropriate SKUs whereas producing cross-sell and upsell strategies. A worldwide B2B cocoa producer changed its handbook strategy of looking out via 20,000+ SKUs, decreasing buyer response time from 10 days to 10 minutes whereas doubling portfolio utilization and reducing new product dependency by 50%. Automated suggestions drove a 5% gross sales improve and improved time-to-market by 25%, delivering higher business agility and maximizing product portfolio worth.

Tredence ATOM for Agentic AI (Trendy Mining Operations)

Deriving actionable insights in mining is inherently advanced, spanning a number of enterprise features, from tools upkeep and security to logistics, stock, and renewable vitality integration. As mining enterprises speed up their AI-powered digital journeys, they want an clever chatbot that actually speaks the language of the enterprise. Powered by Databricks’ superior AI capabilities and Tredence’s deep manufacturing and mining experience, this answer unifies fragmented knowledge silos right into a single intelligence layer. It allows real-time tools diagnostics, proactive security monitoring, optimized stock and logistics selections, and superior analytics, empowering leaders to make quicker, smarter, and extra resilient operational selections at scale.

Learn this weblog to learn the way agentic AI is powering the subsequent wave of mining intelligence.

Wavicle Tariff Intelligence for Databricks

Wavicle’s Tariff Intelligence for Databricks is a part of Wavicle’s broader Provide Chain options portfolio, constructed to assist organizations proactively handle tariff threat, compliance, and price optimization. Designed for retail and manufacturing organizations, the answer runs on the Databricks Lakehouse and is powered by Agent Bricks, utilizing agentic AI to automate tariff classification, harmonize world commerce knowledge, and simulate value impacts throughout suppliers, SKUs, and areas. With prebuilt knowledge fashions for SAP, curated pipelines, and ruled analytics, provide chain and finance analysts can transfer quicker, from perception to motion, defending profitability, optimizing sourcing methods, and capturing market share with confidence, all whereas accelerating time to worth on Databricks.

Learn this weblog to be taught extra.

Retail, Client Items, Journey & Hospitality

Companions are enhancing buyer expertise personalization, enhancing worker productiveness, strengthening provide chain resiliency, and offering market intelligence. Options embrace clever GenAI companions for frontline staff, unified suggestions intelligence, model fairness insights, dynamic pricing, and B2B gross sales optimization:

Accenture ai.Retail

Accenture’s ai.Retail options, in-built partnership with Databricks, are designed to deal with key retail {industry} challenges reminiscent of siloed knowledge, handbook processes, and the necessity for predictive, data-driven decision-making in merchandising assortment and provide community analytics.  Infused by Accenture’s {industry} expertise and Agentic AI framework, the options leverage superior AI/ML fashions within the Databricks Knowledge Intelligence Platform, unified knowledge structure, and scalable analytics to optimize stock, assortment, pricing, and provide chain operations.  Actual-world use instances, technical structure, and consumer success tales reveal measurable advantages reminiscent of elevated gross sales, enhanced margin, lowered prices, and improved provide chain agility.

Celebal Applied sciences Synthetic Intelligence Buyer Expertise Administration 

Celebal Applied sciences’ Synthetic Intelligence Buyer Expertise Administration (AICXM) is a GenAI-powered buyer expertise platform constructed natively on the Databricks Knowledge Intelligence Platform. It gives a modular suite together with omni-channel digital assistants, real-time agent steerage, 100% interplay high quality monitoring, and a unified Buyer 360, integrating numerous knowledge sources. Leveraging Databricks’ scalable infrastructure and governance by way of Unity Catalog, AICXM ensures compliance, safety, and excessive efficiency. Enterprises profit from elevated buyer satisfaction, value discount, income development via AI-driven suggestions, and decreased churn. By combining AI automation, clever insights, and unified knowledge, AICXM transforms buyer engagement throughout industries.

Learn this weblog to learn the way AICXM allows enterprises to maneuver past siloed insights and ship seamless, environment friendly, and personalised service.

CI&T B2B Gross sales Optimizer 

The B2B Gross sales Optimizer by CI&T is an AI-powered answer constructed natively on Databricks to extend B2B gross sales effectiveness by unifying knowledge throughout gross sales, prospects, merchandise, and promotions. Utilizing superior machine studying and predictive analytics, it delivers actionable suggestions on what to promote, to whom, and when, guiding gross sales groups via Databricks Apps, cellular, or conversational interfaces with out requiring technical experience. The platform enhances forecasting accuracy, strengthens stock planning, and will increase income via optimum gives and next-best actions. Expandable with capabilities like churn prediction, dynamic pricing, and multichannel engagement, the B2B Gross sales Optimizer transforms advanced knowledge into real-time, sensible steerage and serves as a scalable basis for broader AI adoption.

Learn this weblog to learn the way CI&T integrates superior forecasting, suggestion engines, and conversational insights right into a unified workflow.

Datasentics AI Dynamic Pricing 

DataSentics AI Pricing is an enterprise-grade answer for retailers and FMCG producers that automates worth optimization (together with promotions optimization) utilizing Databricks-native ML pipelines. It ingests gross sales, product, buyer, and competitor knowledge to mannequin demand elasticity and suggest optimum costs below enterprise constraints. The answer integrates seamlessly with present ERP/eCommerce programs by way of API or CSV export and helps A/B testing, multi-country rollout, and customizable guidelines. Confirmed long-term outcomes embrace 30+% income uplift and 15+% revenue improve.

Diggibyte Shopper360 

Shopper360 is a next-generation answer that helps retail and shopper items leaders excel in buyer understanding. By linking identities throughout net, app, retailer, and market channels, it removes duplicate profiles, wasted media spend, and disjointed journeys. As an alternative of fragmented dashboards, Shopper360 unifies POS, e-commerce, loyalty, returns, and media knowledge right into a single trusted view. Predictive intelligence anticipates buyer conduct, measures lifetime worth, and guides selections. Grounded in retail realities like householding, retailer clusters, promotions, and substitutions, it allows personalised engagement throughout touchpoints. Shopper360 transforms retail technique from reactive to proactive, strengthening collaboration and driving loyalty, effectivity, and development.

Learn this weblog to learn the way Shopper360 unifies buyer knowledge into golden data to prescribe personalised, real-time retail actions.

Diggibyte DemandIQ 

DemandIQ is a retail intelligence platform that allows smarter stock selections in fast-moving markets. By integrating knowledge from POS, ERP, provider feeds, promotions, and exterior alerts, it creates a real-time view of demand and inventory positions. Conventional dashboards present issues after they occur, whereas DemandIQ delivers predictive insights that account for seasonality, promotions, lead occasions, and class traits. It helps retailers anticipate surges, optimize SKUs, and free working capital. Retailers, planners, and provide chain groups collaborate on a shared intelligence layer, balancing stock with demand. DemandIQ transforms stock administration from reactive firefighting right into a proactive, GenAI-driven benefit.

Learn this weblog to learn the way DemandIQ makes use of multi-agent AI to offer prescriptive, real-time retail demand forecasting.

Fractal Analytics Retail Media Networks 

Fractal’s Retail Media Networks allows CPG manufacturers and third-party market advertisers to run focused campaigns utilizing a retailer’s first-party knowledge enriched with a buyer identification graph. This makes promoting extra related, measurable, and efficient. Whereas retail media has historically targeted on mid- and lower-funnel activations near the purpose of buy, Fractal’s answer extends its influence to the higher funnel by driving consciousness and consideration. It empowers retailers to unlock new income streams and helps manufacturers ship personalised, full-funnel engagement that enhances buyer expertise and maximizes advertising ROI.

Try this whitepaper to learn the way manufacturers can scale retail media with AI-driven insights.

Impetus Provide Chain Demand Forecasting Accelerator

Impetus’ Provide Chain Demand Forecasting Accelerator makes use of Databricks Genie and Agent Bricks to ship conversational, GenAI-driven provide chain intelligence on a unified Lakehouse platform. It allows planners, procurement, and operations groups to ask natural-language questions and immediately entry insights on demand traits, stock threat, and provider efficiency—with out SQL or analyst dependency. Constructed on ruled Delta Lake knowledge, the answer combines text-to-SQL analytics with superior forecasting, state of affairs evaluation, and threat detection. With Unity Catalog governance and serverless SQL efficiency, the accelerator drives quicker selections, lowered stock prices, and improved provide chain resilience via autonomous, data-driven planning. 

Learn this weblog to be taught extra about this accelerator.

Infogain Journey and Leisure Expense Exception Identifier 

A number one American airline partnered with Infogain to modernize T&E compliance via a GenAI-powered multi-agent framework, together with a Monetary Professional AI Agent working alongside coverage reasoning and exception detection brokers. Constructed on the Databricks lakehouse with Delta Tables, Unity Catalog, and Agent Bricks, these AI Brokers translated advanced T&E insurance policies into executable SQL, utilized reasoning-based checks, and repeatedly analyzed transactions at scale. Collectively, the brokers recognized ~256K exceptions (12% of all transactions) over 12 months. The answer delivered >$30 in recognized exception alerts versus ~$7M from present processes, reaching a ~50% acquire in audit effectivity with full lineage and transparency. Learn this weblog to be taught extra.

Infogain Advertising and marketing Combine Mannequin Optimization 

A retail large partnered with Infogain to modernize Advertising and marketing Combine Modeling by embedding AI Brokers throughout all the modeling lifecycle. Constructed on the Databricks lakehouse with Unity Catalog and Agent Bricks, the answer unified fragmented knowledge whereas AI Brokers automated knowledge ingestion, characteristic engineering, speculation technology, and Bayesian calibration. This agent-driven method enabled fast experimentation, real-time state of affairs simulations, and steady optimization. Superior media dynamics reminiscent of ad-stock, half-life results, and diminishing returns have been absolutely operationalized. The result was a 75% discount in mannequin construct time, 5× quicker media optimization, improved ROI, a 240% improve in promoting income, and 150% development in contract income, delivering scalable, AI-powered advertising intelligence with measurable enterprise influence. Learn this weblog to be taught extra.

Kubrick Defect Decision AI Assistant

The Defect Decision AI Assistant provides technicians context-aware insights to make efficient fixes that preserve flights on schedule. Constructed on the Databricks Knowledge Intelligence Platform, it combines and governs all knowledge—from OEM manuals, technician logbooks, and work orders to elements stock and flight schedules—offering a 360-view of what wants fixing, when, and the way. Technicians question defects in pure language with Databricks Genie, utilizing NLP and real-time similarity search to search out beneficial resolutions, elements availability, and prioritization aligned to flight schedules. The answer strikes upkeep from reactive to streamlined by monitoring persistent defects to optimize stock and planning whereas constructing an ‘AI-memory’ of efficient remediation steps to enhance technician efficacy and quickly upskill junior workers.

Learn this case research on how Defect Decision AI Assistant helped a serious airline enhance fleet upkeep and maximize their capability to satisfy their routes. Try this weblog to dive deeper into AI for plane upkeep use instances.  

Lingaro Urged Order 

Lingaro’s Urged Order answer, constructed on the Databricks Knowledge Intelligence Platform, empowers CPG gross sales groups by utilizing AI to generate optimized order suggestions. It shifts order taking from a reactive course of to a proactive, data-driven method, leveraging historic knowledge and predictive algorithms. This results in larger order accuracy, improved upsell alternatives, and time effectivity. The answer consists of modules for micro-segmentation, assortment strategies, and amount strategies, making certain alignment with shopper wants at every outlet. Key to its success are clear knowledge, enterprise rule calibration, consumer adoption, and steady enchancment. By addressing variables usually missed by conventional forecasting, Urged Order drives income development and optimizes stock administration.

Learn this weblog to learn the way AI-powered gross sales orders enhance CPG effectivity by offering exact, outlet-level stock and assortment suggestions utilizing knowledge.

MathCo Assortment and Vary Planning 

MathCo delivered a systemic AI-led assortment planning answer for a world CPG firm, remodeling legacy, spreadsheet-driven processes right into a proactive, data-driven platform. Leveraging Databricks, the answer built-in POS, product, pricing, and promotion knowledge, enabling state of affairs simulation, demand transference evaluation, and aggressive visibility. Planners gained localized, explainable suggestions with steady optimization throughout SKUs, manufacturers, and channels. Key outcomes included a unified planning platform, quicker decision-making, improved collaboration, and extra correct portfolio optimization. By harmonizing on-line and offline insights and embedding AI into each day workflows, MathCo empowered the consumer to anticipate market shifts, drive development, and switch assortment planning right into a strategic benefit.

Learn this article on how MathCo and Databricks modernize retail assortment planning via automation and localized insights. 

MathCo At all times-on Market Media Combine (MMM) Planning 

A number one CPG producer wanted real-time, actionable advertising insights to optimize spend throughout channels. MathCo delivered an At all times-On MMM answer powered by NucliOS and Databricks Knowledge Intelligence Platform, integrating granular knowledge, automating month-to-month mannequin refreshes, and leveraging AI and GenAI for explainable insights. The answer drove 70% discount in knowledge prep effort, 90% improved insights adoption, a ~1.3% income improve, and lower evaluation time from three months to below two weeks. By enabling steady, data-driven funds optimization, MathCo empowered the consumer to remain forward of market shifts and maximize advertising ROI.

Learn this article for the way MathCo’s automated, always-on Advertising and marketing Combine Modeling answer on Databricks drives real-time, data-driven retail development. 

MathCo Buyer 360 Insights Activation 

MathCo helped a number one world vogue retailer remodel fragmented buyer knowledge into a robust Buyer 360 platform, constructed on Databricks Knowledge Intelligence Platform. By unifying omnichannel knowledge and making use of superior identification decision, the answer created a single, trusted view of each buyer. This drove 30% fewer duplicate data, a 95% drop in knowledge high quality points, and 15% larger marketing campaign conversions. Retail groups gained actionable insights for personalization, loyalty, and focused advertising, turning buyer knowledge right into a strategic asset. The platform demonstrates how contextual intelligence, analytics, and scalable structure can ship measurable enterprise influence in as we speak’s aggressive retail panorama.

Learn this article to learn the way MathCo’s Retail Buyer 360 Insights Activation answer drives personalised retail engagement.

Tiger Analytics At all times ON Model Fairness 

At all times ON Model Fairness is a steady, close to real-time model intelligence platform that screens, protects, and grows model worth 24/7 throughout each digital touchpoint. It delivers immediate notion monitoring, sentiment evaluation, and predictive fairness modeling, changing gradual quarterly trackers with proactive guardianship. By uniting social listening, search traits, and gross sales alerts into one supply of reality, it eliminates blind spots, accelerates disaster response, and captures cultural alternatives 10X quicker. Organizations acquire early-warning alerts, exact ROI measurement, and a reside fairness rating, enabling disaster avoidance, funds effectivity, sustainable premium pricing, and assured govt reporting whereas turning passive administration into relentless model development.

Learn this weblog to be taught what “At all times-On Model Fairness” actually means and the way manufacturers can keep future-ready in an period the place consideration is fleeting and digital presence is every thing.

Tiger Analytics Retail AI Companion  

The Retail AI Companion is an clever GenAI digital co-pilot for frontline staff, addressing fragmented instruments and complicated SOPs. Appearing as a “sense and reply” layer throughout varied gadgets, it tailors responses to the consumer’s position. The system drives effectivity via specialised assistants: an Operations Question Assistant for answering SOP-related questions to make sure compliance; a Machine Assistant for troubleshooting tools; a Product Assistant for real-time stock and pricing checks; and a Merchandising Assistant to investigate planograms and flag deviations. This built-in method empowers workers with real-time decision-making capabilities whereas considerably decreasing the necessity for supervisory escalations.

Learn this weblog to learn the way AI can be utilized as a context-aware companion that reduces cognitive load, shortens activity cycles, and brings consistency to buyer interactions

Tredence ATOM for Agentic AI ( Hyper-Customized Retail)

In direct-to-consumer retail, personalised product suggestions are important to driving conversion and long-term loyalty. Whereas Agentic AI allows clever decisioning, a robust knowledge basis is what makes it efficient. Tredence’s unified Oxygen Knowledge Mannequin on Buyer 360 brings collectively looking conduct, buy patterns, demographics, and real-time interactions inside a Databricks Lakehouse structure, making certain clear, ruled, and AI-ready knowledge. Constructed on this basis, the AI Orchestrator and brokers leverage Databricks AI/ML and Mannequin Serving to keep up buyer context in actual time. The result’s a shift from generic looking to tailor-made procuring journeys that improve conversion charges and buyer lifetime worth.

Learn this weblog to learn the way a US wellness model is leveraging agentic commerce to win the customer’s journey.

Wavicle Knowledge Options EZForecast Accelerator

Wavicle’s EZForecast Accelerator for Databricks is a high-performance demand forecasting answer constructed natively on the Databricks Lakehouse for the retail {industry}. It unifies structured gross sales knowledge with unstructured alerts reminiscent of social media, IoT and exterior market elements eliminating silos and making a trusted basis for superior analytics. Powered by Agent Bricks and Databricks AI/BI capabilities, EZForecast goes past static forecasting to ship interactive agentic experiences. With AI/BI Genie, enterprise customers can use pure language to discover actual time demand shifts, stock threat and forecast drivers. Utilizing superior fashions together with Temporal Fusion Transformers and DeepAR, EZForecast delivers a 7 to 18 % enchancment in forecast accuracy with none subscription prices in comparison with conventional packaged instruments, enabling quicker selections to optimize stock, shield profitability and drive sustainable development.

Learn this weblog to be taught extra.

Xebia Buyer Suggestions Intelligence Accelerator 

Xebia Buyer Suggestions Intelligence Accelerator transforms fragmented, high-volume buyer suggestions into real-time, decision-ready perception. Utilizing an orchestrated set of AI brokers, it repeatedly analyzes surveys, critiques, transcripts, and chat logs throughout languages and channels to floor key themes, sentiment shifts, and root causes. As an alternative of handbook evaluation and delayed reporting, groups acquire a unified, repeatedly up to date view of buyer expertise. Insights are delivered via intuitive dashboards and clear summaries that help quicker prioritization, focused enhancements, and assured follow-through. Absolutely integrable with present programs, the accelerator shortens the feedback-to-action cycle, strengthens buyer understanding, and allows organizations to reply quicker and extra successfully to altering buyer wants. Learn this weblog to be taught extra.

zeb Retail Agentic Knowledge Activation

zeb’s Retail Agentic Knowledge Activation accelerator, powered by the Databricks Knowledge Intelligence Platform and Agent Bricks, helps retailers and shopper items firms standardize vendor and provider knowledge into constant schemas with purpose-built area AI brokers. Utilizing agentic AI for clever content material interpretation and zero-code pipeline technology, it accelerates onboarding and ensures knowledge high quality. Constructed with Unity Catalog for governance, the answer delivers as much as 90% quicker onboarding and enhanced knowledge accuracy throughout thousands and thousands of SKUs. 

Learn this weblog to learn the way this accelerator transforms numerous vendor and producer feeds right into a unified and dependable product knowledge basis.

zeb AI Good Manufacturing facility & Provide Chain Community Optimization 

The AI Good Manufacturing facility & Provide Chain Community Optimization accelerator transforms uncooked provide chain knowledge into enterprise prepared intelligence utilizing zeb’s prebuilt canonical mannequin and AI-driven knowledge pipelines. This allows prospects to validate, enrich, and course of lane, fee, and geospatial knowledge. Built-in with good manufacturing unit alerts, predictive fashions, and real-time analytics, our answer leverages Serverless SQL, Geospatial AI, and AI/BI Dashboards to ship lane and market insights, backhaul optimization, and intermodal pricing visibility empowering Prospects to attenuate prices, cut back emissions, and allow autonomous, data-driven provide chain selections.

Learn this weblog to learn the way zeb’s AI accelerator optimizes provide chains by remodeling fragmented knowledge into actionable insights.

Speed up Trade Outcomes with Accomplice GenAI Options 

This weblog completes our sequence on companions options, following our protection of cross-industry accelerators for Agentic AI, GenAI and LLMOps and AI accelerators for knowledge engineering and migration. These industry-focused options reveal how generative AI delivers particular enterprise influence via deep area experience.

Get Began with Brickbuilder Accelerators

Discover our full set of accomplice options and accelerators on the Databricks Brickbuilder web page, together with Agentic AI programs, cross-industry GenAI use instances and frameworks, and LLMOps accelerators.

Create a Brickbuilder Accelerator for the Databricks Knowledge Intelligence Platform

Brickbuilders are a key part of the Databricks Accomplice Program and acknowledge companions who’ve demonstrated a novel capacity to supply differentiated knowledge, analytics, and AI options and accelerators together with their growth and deployment experience.

Companions who’re keen on studying extra about the right way to create a Brickbuilder Answer or Accelerator are inspired to e mail us at [email protected].