One of many impacts of the AI revolution is the belief that unstructured information is a beneficial commodity that organizations ought to take pains to handle and retailer. Nonetheless, the sector of unstructured information administration is comparatively younger. One of many early leaders on this discipline is Krishna Subramanian, who’s the co-founder, president, and COO of Komprise, and certainly one of our BigDATAwire Individuals to Look ahead to 2025.
Right here’s a dialog we lately had with Subramanian.
BigDATAwire: First, congratulations in your choice as a 2025 BigDATAwire Particular person to Watch! You and your Komprise co-founders detected an issue with unstructured information administration at earlier startups. Did you ever assume Komprise would develop into such a profitable firm?
Krishna Subramanian: We created Komprise due to our clients from our prior two corporations. They advised us that the expansion of unstructured information took them abruptly, and they didn’t have any good technique to remedy the issue. So, we’re gratified that our clients pointed us to an issue that’s getting increasingly pressing each single day. Once we began Komprise, the principle focus was unstructured information prices and the hybrid cloud. However now the necessity is even greater with AI, but our mission has remained the identical: change the best way the world manages unstructured information.
BDW: Why is unstructured information so troublesome to handle?
KS: Firstly, it is extremely massive–our enterprise clients are amassing, producing and storing a number of petabytes of information. In healthcare for example, it isn’t unusual for supplier organizations to have 50 PB of information and extra. Secondly, it’s numerous and multi-modal – constituting many various sizes and file sorts from paperwork to talk and textual content to audio, video and pictures to specialised business functions reminiscent of scientific devices and environmental sensors that produce distinctive information sorts. Massive and small recordsdata each have their very own challenges to effectively transfer and handle. Unstructured information is unfold throughout storage silos–Impeding visibility and information motion. It lacks context and a unified schema not like structured information in databases. So which means it’s troublesome to look, leverage and perceive this information adequately to make the fitting selections on the place to put it for value financial savings and efficiency and safety wants. This lack of context and construction can be a barrier to AI, which requires feeding the fitting unstructured information to AI pipelines.
BDW: On the entire, do you assume GenAI will enhance the manageability of unstructured information or hinder it?
KS: Generative AI can assist staff glean insights from and set up their information. Many staff are feeding their very own paperwork into GenAI to develop new content material and quickly uncover nuggets of perception. But AI has offered a number of recent challenges and necessities for the IT leaders managing company information. AI is strongest to corporations once they can feed their very own group’s information to it to develop focused analysis, merchandise and insights for higher selections and buyer methods. But ingesting delicate information (proprietary and private information) to AI will not be acceptable when utilizing a business/basic AI platform as a result of now you’ve got uncovered your delicate information to the Web. AI information governance is a fancy problem for organizations at present: leaders want guardrails to stop delicate information leakage to those instruments, auditing and monitoring of AI information workflows and in addition worker instructional packages on the way to safely use AI. They should ship these capabilities with out impeding the aggressive benefits of incorporating AI into the office. An rising development is GenAI or chatbot-like interfaces to unstructured information administration programs to assist automate duties and/or ship intelligence on the company information surroundings. That is nonetheless a really early stage and experimental technique.
BDW: What are you able to inform us about your self exterior of the skilled sphere – distinctive hobbies, favourite locations, and many others.? Is there something about you that your colleagues could be stunned to study?
KS: I get pleasure from climbing, studying, and touring throughout the globe. One factor my skilled acquaintances might not find out about me is that I’m a educated Classical Indian dancer, and I carry out a dance-style referred to as Kuchipudi. That is an historical Indian dance type that till a century in the past was solely carried out by male dancers. I like it as a result of it connects me to my tradition and it’s a stress reliever!
You possibly can learn the remainder of our P2W 2025 interviews right here.