Eshaan Jain on Why the Hard Part of Enterprise AI Starts After the Model Works

As enterprise AI moves from experimentation into mission-critical business systems, the challenge is no longer simply building models that work. It is designing systems that can operate reliably at scale, reduce financial exposure, and support decisions where errors carry real commercial consequences. Eshaan Jain is an Enterprise AI and Product Leader with 13 years of […]

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https://alltechmagazine.com/enterprise-ai-and-financial-risk-eshaan-jains-approach/

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https://rolandholman.blogspot.com/2026/09/eshaan-jain-on-why-hard-part-of.html

Supratim Dey on Model Routing, Validation Layers, and Why Dayara Treats Carbon Like a Budget Constraint

Most travelers say sustainability matters to them, and far fewer act on it when it comes time to book. Supratim Dey founded Dayara to close that gap through engineering. The platform’s agentic backend splits work across fast and deep-reasoning models, runs every itinerary through a dedicated validation layer that checks transit times, operating hours, and […]

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https://rolandholman.blogspot.com/2026/08/supratim-dey-on-model-routing.html

Beyond the Ticket: Jisu Dasgupta on Building IT as a Business Operating System

For years, enterprise IT was measured by what happened after something went wrong: how quickly a ticket was resolved, how efficiently an incident was closed, and how reliably teams could keep the lights on. Jisu Dasgupta believes that standard is no longer enough. Across more than 15 years working in complex enterprise environments at HCLTech, […]

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https://alltechmagazine.com/jisu-dasgupta-on-building-it-as-a-business-operating-system/

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Why Trusted Tools Deserve the Closest Watch

Attackers have learned that the easiest way past a defense is to look like something it already trusts. A malicious PowerShell command can pass for routine administration. A compromised dependency ships inside software a company has already vetted. Madhu Preetha Chandrasekaran builds systems that catch both, by watching how users, tools, and vendors actually behave […]

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Cameron Witkowski on AI Visibility, Source Intelligence, and What the Agentic Web Still Needs

Cameron Witkowski spent his early career on the research side of AI, with an applied scientist internship on the Fundamental AI Research team at AWS AI Labs, two research stints in Caltech’s Thomson Lab that produced co-authored papers, and engineering experience at Intel. Today, as Co-Founder and Chief Engineering Officer of OpenLens, he works on […]

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https://alltechmagazine.com/cameron-witkowski-on-ai-visibility-source-intelligence-and-what-the-agentic-web-still-needs/

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https://rolandholman.blogspot.com/2026/08/cameron-witkowski-on-ai-visibility.html

Why majority of companies are not yet AI-ready

Data readiness defines AI readiness Despite unprecedented investment in enterprise AI, successful deployment remains far more limited than the headlines suggest. Many organisations have adopted AI tools, yet relatively few have integrated them into business-critical processes at scale. The reason is becoming increasingly clear: AI cannot outperform the quality of the data on which it […]

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https://rolandholman.blogspot.com/2026/08/why-majority-of-companies-are-not-yet.html

Miky Bayankin on the Physical Infrastructure Powering the AI Boom

AI may feel instantaneous to the end user, but every prompt depends on a complex physical and technical infrastructure stack operating behind the scenes. Power, cooling, networking, GPU clusters, facility design, hardware deployment, and orchestration software all have to work together reliably before a model can deliver a response. Miky Bayankin has spent more than […]

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https://alltechmagazine.com/miky-bayankin-on-the-physical-infrastructure-powering-the-ai-boom/

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