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Sunday, March 22, 2026

Meet Krishna Subramanian, a 2025 BigDATAwire Particular person to Watch


One of many impacts of the AI revolution is the conclusion that unstructured knowledge is a worthwhile commodity that organizations ought to take pains to handle and retailer.  Nonetheless, the sphere of unstructured knowledge administration is comparatively younger. One of many early leaders on this area is Krishna Subramanian, who’s the co-founder, president, and COO of Komprise, and one in every of our BigDATAwire Folks 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 knowledge 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 knowledge took them unexpectedly, and they didn’t have any good solution to remedy the issue. So, we’re gratified that our clients pointed us to an issue that’s getting an increasing number of pressing each single day.  After we began Komprise, the principle focus was unstructured knowledge 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 knowledge.

BDW: Why is unstructured knowledge so tough to handle?

KS: Firstly, it is vitally massive–our enterprise clients are gathering, 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  various and multi-modal – constituting many various sizes and file sorts from paperwork to speak and textual content to audio, video and pictures to specialised trade purposes similar to scientific devices and environmental sensors that produce distinctive knowledge sorts. Massive and small recordsdata each have their very own challenges to effectively transfer and handle. Unstructured knowledge is unfold throughout storage silos–Impeding visibility and knowledge motion.  It lacks context and a unified schema not like structured  knowledge in databases. So meaning it’s tough to look, leverage and perceive this knowledge adequately to make the best choices on the place to put it for price financial savings and efficiency and safety wants. This lack of context and construction can be a barrier to AI, which requires feeding the best unstructured knowledge to AI pipelines.

BDW: On the entire, do you assume GenAI will enhance the manageability of unstructured knowledge or hinder it?

KS: Generative AI will help workers glean insights from and arrange their knowledge. Many workers are feeding their very own paperwork into GenAI  to  develop new content material and quickly uncover nuggets  of perception. But AI  has offered a bunch of recent challenges and necessities for the IT leaders managing company knowledge. AI is strongest to corporations once they can feed  their very own group’s knowledge to it to develop focused analysis, merchandise and insights for higher choices and buyer methods. But ingesting delicate knowledge (proprietary and private knowledge) to AI shouldn’t be acceptable when utilizing a industrial/basic AI  platform as a result of now you have got uncovered your delicate knowledge to the Web. AI knowledge governance is a fancy problem for organizations right this moment: leaders want guardrails to forestall delicate knowledge leakage to those instruments, auditing and monitoring of AI knowledge workflows and in addition worker instructional packages on 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 knowledge administration methods to assist automate duties and/or ship intelligence on the company knowledge atmosphere. 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 is likely to be shocked to be taught?

KS: I take pleasure in climbing, studying, and touring throughout the globe.  One factor my skilled acquaintances could not find out about me is that I’m a educated Classical Indian dancer, and I carry out a dance-style known 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 may learn the remainder of our P2W 2025 interviews right here.


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