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Yash Mehta on Muck Rack

Yash Mehta

(He/Him)
  • Founder and CEO, Expersight
  • Contributor and Expert Columnist, CIO
Bangalore
As seen in: CIO, ETCIO, Wiley Online Library, The Indian Express, Flipboard, Business 2 Community, ReadWrite, BioRxiv, InfoWorld, CSO, DEV Community and
Covers:  Internet of Things (IoT), Blockchain, NFT, Web3, Data Fabric, Data Mesh, Artificial Intelligence (AI), Programming, Business Analysis, Data Science, Analytics, Science, Marketing, SEO and Luxury.

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Yash Mehta’s Biography

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Yash Mehta is an internationally recognized IoT, M2M and Big Data technology expert. He has written a number of widely acknowledged articles on Data Science, IoT, Business Innovation, Cognitive intelligence, Tools, Security technologies, Business strategies, Development etc. His articles have been featured in the most authoritative publications and awarded as one of the most innovative and influential works in the connected technology industry by IBM and Cisco IoT departments.

His work has been…

Yash Mehta’s Journalist Portfolio

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Four trends that will revolutionize data management in 2024

Four trends that will revolutionize data management in 2024

The capabilities of data are expanding and revolutionizing with each passing day. It is important for technol…

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Four trends that will revolutionize data management in 2024 - ET CIO

Four trends that will revolutionize data management in 2024 - ET CIO

The capabilities of data are expanding and revolutionizing with each passing day. It is important for technol…

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Addressing Skill Gap Critical to IoT Development | Entrepreneur

Addressing Skill Gap Critical to IoT Development | Entrepreneur

The Internet of Things (IoT) is a generic recognized trend that is gaining vogue with time. IoT is transformi…

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Building High Performing Data Product Platform - DZone

Building High Performing Data Product Platform - DZone

Data is everything, and enterprises are pushing the limits to capture, manage, and utilize it optimally. Howe…

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Data tokenization: A new way of data masking

Data tokenization: A new way of data masking

While researchers examined the pandemic in relation to how companies managed to keep afloat in such an unprec…

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A Comprehensive Guide to Data Virtualization for Enterprises

A Comprehensive Guide to Data Virtualization for Enterprises

Enterprises are aggressively investigating beyond the capabilities of traditional data integration such as Ex…

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Articles

The Pilot Trap: Why Enterprise AI Keeps Failing the Walk from Demo to Production

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By Yash Mehta
| CDInsights - Cloud Data Insights
Enterprise AI succeeds when the architecture is built for the moment after deployment, not the moment of it. · 6 minute read Enterprise AI succeeds when the architecture is built for the moment after deployment, not the moment of it. A clean pilot meets a messy data fabric, a half-written policy layer, and a workflow no one designed to absorb it. That transition is where things fall apart. I’ve seen this pattern play out even in well-funded programs. The model performs exactly as expected.
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Reshaping Your Enterprise Infrastructure for the New AI-first IT Landscape

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By Yash Mehta
| CDInsights - Cloud Data Insights
AI-first initiatives are forcing organizations to rethink how compute, data, and security layers work together. Modern infrastructure must support scalable model deployment, real-time data pipelines, and governance frameworks without slowing innovation. As AI becomes ubiquitous in the enterprise world, adoption has shifted beyond simply integrating AI-powered SaaS. It’s about restructuring every level of your tech stack to support a coherent, cohesive AI strategy.
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Data Masking at Scale: Architecting Privacy for Real-time and AI-driven Systems

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By Yash Mehta
| CDInsights - Cloud Data Insights
Data masking is no longer a peripheral safeguard. It is a core architectural capability that determines how safe and effectively data can be used. Data is no longer something that enterprises store. It is something they circulate. Data flows through APIs, streams across pipelines, and feeds AI models in near real-time. In this environment, protecting data at rest is no longer sufficient. The real exposure lies in how frequently sensitive data is accessed, replicated, and reused across systems.
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Interview

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Have you ever used a typewriter?

Yes

What story are you most proud of writing or working on?

IoT and Data Fabric topics

When's the best time to pitch you?

Mon-Friday (any time)