One of many impacts of the AI revolution is the conclusion that unstructured knowledge is a precious commodity that organizations ought to take pains to handle and retailer. Nevertheless, the sector of unstructured knowledge 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 one in every 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 knowledge administration at earlier startups. Did you ever suppose Komprise would develop into such a profitable firm?
Krishna Subramanian: We created Komprise due to our prospects from our prior two corporations. They instructed us that the expansion of unstructured knowledge took them abruptly, and they didn’t have any good solution to clear up the issue. So, we’re gratified that our prospects pointed us to an issue that’s getting an increasing number of pressing each single day. After we began Komprise, the primary 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 way in which the world manages unstructured knowledge.
BDW: Why is unstructured knowledge so troublesome to handle?
KS: Firstly, it is rather giant–our enterprise prospects are accumulating, producing and storing a number of petabytes of knowledge. In healthcare as an illustration, it’s not unusual for supplier organizations to have 50 PB of knowledge and extra. Secondly, it’s numerous and multi-modal – constituting many various sizes and file varieties from paperwork to speak and textual content to audio, video and pictures to specialised trade functions reminiscent of scientific devices and environmental sensors that produce distinctive knowledge varieties. 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 troublesome to go looking, leverage and perceive this knowledge adequately to make the correct choices on the place to put it for price financial savings and efficiency and safety wants. This lack of context and construction can also be a barrier to AI, which requires feeding the correct unstructured knowledge to AI pipelines.
BDW: On the entire, do you suppose GenAI will enhance the manageability of unstructured knowledge or hinder it?
KS: Generative AI may also help staff glean insights from and set up their knowledge. Many staff are feeding their very own paperwork into GenAI to develop new content material and quickly uncover nuggets of perception. But AI has introduced a number of recent challenges and necessities for the IT leaders managing company knowledge. AI is strongest to corporations after 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 will not be acceptable when utilizing a business/normal AI platform as a result of now you could have uncovered your delicate knowledge to the Web. AI knowledge governance is a fancy problem for organizations at present: leaders want guardrails to forestall delicate knowledge leakage to those instruments, auditing and monitoring of AI knowledge workflows and in addition worker academic packages on how one can safely use AI. They should ship these capabilities with out impeding the aggressive benefits of incorporating AI into the office. An rising pattern is GenAI or chatbot-like interfaces to unstructured knowledge administration methods to assist automate duties and/or ship intelligence on the company knowledge setting. That is nonetheless a really early stage and experimental technique.
BDW: What are you able to inform us about your self outdoors of the skilled sphere – distinctive hobbies, favourite locations, and so on.? Is there something about you that your colleagues is likely to be stunned to be taught?
KS: I take pleasure in mountaineering, studying, and touring throughout the globe. One factor my skilled acquaintances might not learn about me is that I’m a skilled 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.