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Krishna Subramanian on Muck Rack

Krishna Subramanian

California, Sunnyvale
As seen in: Data Center Knowledge, Medium, Forbes, Adweek, Entrepreneur, Fast Company, Flipboard, Ad Age, Marketing Dive, Social Media Examiner, Datamation and
COO Komprise: www.komprise.com Forbes Tech Council Contributor Ex-VP Mktng Citrix Ex-COO of Kaviza (VDI-in-a-Box) Ex-CEO of Kovair.

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Articles

The Top Enterprise AI and Data Management Trends So Far in 2026

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By Krishna Subramanian
| Techstrong.ai Verified
The world of AI data management is evolving quickly as IT and business leaders begin to realize the single truth that cuts across all industries: the right data strategy is the dealmaker for AI success. Here are the topics defining enterprise data infrastructure and data management right now. Defining Enterprise Data Infrastructure and Data Management 1.
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How IT Pros Can Save Money, Power AI, and Future-Proof Their Careers

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By Krishna Subramanian
| RTInsights Verified
The fears about AI displacing experienced, educated workers are not the stuff of urban legend: the numbers are hard to ignore. Tech layoffs have surged in 2026, with more than 100,000 jobs already cut worldwide by early May. Of those cuts, nearly 48% have been attributed to reduced need for human workers due to AI and workflow automation, reports Tom’s Hardware. Anecdotally, AI adoption is already slowing hiring for junior developers and generalized IT roles. The good news?
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How Data Teams Are Making Unstructured Data Usable for AI

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By Krishna Subramanian
| TechVoices Verified
Technology news headlines are dominated by AI companies, hardware vendors, and cloud providers racing to build faster processors, larger LLMs, and new automated agentic AI services for every function and industry. Meanwhile, inside the enterprise, data storage managers and data engineers are working on a more fundamental problem: making unstructured data usable in lakehouses so AI pipelines have something worth running on. The scale of the problem is heady.
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