One of many impacts of the AI revolution is the belief that unstructured knowledge is a invaluable commodity that organizations ought to take pains to handle and retailer. Nevertheless, the sphere 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 among our BigDATAwire Folks to Look ahead to 2025.
Right here’s a dialog we not too long ago 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 prospects from our prior two firms. They informed us that the expansion of unstructured knowledge took them unexpectedly, and they didn’t have any good technique 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 larger 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 massive–our enterprise prospects are amassing, producing and storing a number of petabytes of information. In healthcare as an illustration, 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 speak and textual content to audio, video and pictures to specialised trade functions resembling 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 which means it’s troublesome to look, leverage and perceive this knowledge adequately to make the proper 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 proper 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 staff glean insights from and arrange 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 firms once they can feed their very own group’s knowledge to it to develop focused analysis, merchandise and insights for higher selections and buyer methods. But ingesting delicate knowledge (proprietary and private knowledge) to AI isn’t acceptable when utilizing a industrial/common AI platform as a result of now you may have uncovered your delicate knowledge to the Web. AI knowledge governance is a fancy problem for organizations at this time: leaders want guardrails to forestall delicate knowledge leakage to those instruments, auditing and monitoring of AI knowledge workflows and in addition worker instructional applications on how you can 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 programs 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 perhaps shocked to be taught?
KS: I get pleasure from climbing, studying, and touring throughout the globe. One factor my skilled acquaintances could 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 historic Indian dance kind that till a century in the past was solely carried out by male dancers. I adore 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.
