One of many impacts of the AI revolution is the conclusion that unstructured information is a priceless commodity that organizations ought to take pains to handle and retailer. Nevertheless, 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 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 Individual to Watch! You and your Komprise co-founders detected an issue with unstructured information administration at earlier startups. Did you ever suppose Komprise would develop into such a profitable firm?
Krishna Subramanian: We created Komprise due to our clients from our prior two firms. They instructed us that the expansion of unstructured information took them unexpectedly, and they didn’t have any good strategy 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 primary focus was unstructured information 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 information.
BDW: Why is unstructured information so troublesome to handle?
KS: Firstly, it is rather giant–our enterprise clients are gathering, producing and storing a number of petabytes of knowledge. In healthcare as an example, it’s not unusual for supplier organizations to have 50 PB of knowledge and extra. Secondly, it’s various and multi-modal – constituting many alternative sizes and file sorts from paperwork to talk and textual content to audio, video and pictures to specialised business purposes akin to scientific devices and environmental sensors that produce distinctive information sorts. Giant 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 in contrast to structured information in databases. So meaning it’s troublesome to go looking, leverage and perceive this information adequately to make the suitable selections 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 suitable unstructured information to AI pipelines.
BDW: On the entire, do you suppose GenAI will enhance the manageability of unstructured information or hinder it?
KS: Generative AI can assist staff glean insights from and arrange 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 introduced a bunch of recent challenges and necessities for the IT leaders managing company information. AI is strongest to firms 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 just isn’t acceptable when utilizing a industrial/normal AI platform as a result of now you could have uncovered your delicate information to the Web. AI information governance is a posh problem for organizations immediately: leaders want guardrails to stop delicate information leakage to those instruments, auditing and monitoring of AI information workflows and in addition worker academic applications on easy methods to 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 information administration methods 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 so on.? Is there something about you that your colleagues could be shocked to be taught?
KS: I get pleasure from 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 referred to as Kuchipudi. That is an historic Indian dance kind that till a century in the past was solely carried out by male dancers. I find it irresistible as a result of it connects me to my tradition and it’s a stress reliever!
You’ll be able to learn the remainder of our P2W 2025 interviews right here.
