Thomas Godwin, Author at SiliconANGLE

AI

Why the semantic layer is becoming the foundation for trusted agentic AI

By Thomas Godwin Jun 4, 2026

Agentic AI is making the semantic layer an essential enterprise priority because headless agents asking thousands of questions simultaneously have zero tolerance for inconsistent data definitions. This change is a core principle of a…

AI

AI-driven financial analysis compresses investment research from days to minutes

By Thomas Godwin Jun 3, 2026

Historically, investment research involved human analysts spending days reading and evaluating massive financial reports. Now, AI-driven financial analysis is covering all of that work in just a few minutes. The catalyst was a 2020…

AI

Becoming an AI-native company is existential for every business, says Dell CMO

By Thomas Godwin May 28, 2026

Becoming an AI-native company is no longer the competitive advantage it was five minutes ago. Now, it’s an empirical obligation, and Dell Technologies Inc. made that case to customers at its annual flagship event.…

AI

‘Slay the dragon’: Appian says process orchestration is the fix enterprise AI keeps skipping

By Thomas Godwin May 4, 2026

The enthusiasm for enterprise AI is outpacing strategic thinking — and process automation, not more AI tools, is the fix most organizations might be missing. The wall that most enterprises face is an overabundance…

AI

No more waiting: Enterprise AI transformation has become the top CEO mandate

By Thomas Godwin Apr 30, 2026

Enterprise AI transformation is clearing the proof-of-concept stage for many organizations, with execution at scale becoming the new challenge that IT departments alone can’t handle. Governance, talent and organizational structure are required to meet…

AI

With agents on the rise, is the ‘modern’ data stack already legacy infrastructure?

By Thomas Godwin Apr 28, 2026

The modern data stack might already be the new legacy. In response, Google Cloud is rebuilding for a world where AI agents — not humans — are the primary users of data infrastructure, unveiling…

AI

‘You can’t make great decisions without good data’: How fragmented data blocks enterprise AI success

By Thomas Godwin Apr 27, 2026

Without trusted data as the foundation, even the most sophisticated models will produce outcomes that enterprises can’t act on with confidence. As a matter of fact, enterprises are paying a steep price because of…

AI

Enterprises are leaving major AI customer experience gains on the table

By Thomas Godwin Apr 23, 2026

Enterprises are investing heavily in AI customer experience, but many experiments are stalling out before ever going live. The culprit is a confidence gap, according to Chris Mina (pictured), chief product and technology officer…

Cloud

Why virtualization modernization remains enterprise IT’s hardest leap

By Thomas Godwin Apr 22, 2026

Enterprises are locked in a long-term standoff with legacy infrastructure, with growing demand for virtualization modernization that doesn’t require a full rebuild. SUSE S.A. has positioned itself to help customers bridge that gap, but…

AI

‘Nobody wants to be a news story,’ but bad data is making that a real risk factor for enterprise AI

By Thomas Godwin Apr 16, 2026

Data quality is emerging as the critical gating factor separating enterprise AI projects that produce results from those that fizzle out. However, leadership pressure to move fast on AI is running into a difficult…

Thomas Godwin

Why the semantic layer is becoming the foundation for trusted agentic AI

AI-driven financial analysis compresses investment research from days to minutes

Becoming an AI-native company is existential for every business, says Dell CMO

‘Slay the dragon’: Appian says process orchestration is the fix enterprise AI keeps skipping

No more waiting: Enterprise AI transformation has become the top CEO mandate

‘You can’t make great decisions without good data’: How fragmented data blocks enterprise AI success

Enterprises are leaving major AI customer experience gains on the table

Why virtualization modernization remains enterprise IT’s hardest leap

‘Nobody wants to be a news story,’ but bad data is making that a real risk factor for enterprise AI

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