Enterprise AI

Latest Enterprise AI news freshly curated for you as of 1 a.m. ET Feb. 4. Learn more about innovative developments, discover emerging trends and read expert perspectives.

Today's Highlights

Overview component
  • Snowflake and OpenAI's $200M partnership brings OpenAI models to enterprise data, letting firms build AI apps without moving sensitive info outside Snowflake's platform.
  • As AI agents become workers, the key challenge is no longer intelligence but evaluation. Assessing an agent's reliability within real organizational workflows is now crucial.
  • Startups like Sentra are pioneering "enterprise general intelligence," building AI to capture decisions and context across tools to form an organizational memory system.
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Micro1 Shows Why AI’s Hardest Problem Is Evaluation, Not Intelligence

Micro1 is building the evaluation layer for AI agents providing contextual, human-led tests that decide when models are ready for enterprise work and robotics.

ByRay Ravaglia,

Contributor

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How Voice AI Went From Taking Notes To Running Drive-Thrus

Voice AI spent years on transcription and basic commands. Now it handles drive-thru orders where speed matters and mistakes cost real money.

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How AI Agents Could Accelerate Your Startup’s Growth

Amid the rush to capitalise on rolling out AI agents, it's the integrated operating systems that are likely to be the winners.

ByHeather Farmbrough,

Contributor

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Snowflake And OpenAI Strike $200 Million Deal To Power Enterprise AI Agents

The deal positions Snowflake to compete with Databricks in AI while giving OpenAI enterprise distribution beyond Microsoft’s ecosystem.

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What Are AI-Native Organizations And How To Build One

A clear explanation of what defines an AI-native organization and how leaders redesign work, roles, and systems around AI capabilities.

ByAlexander Puutio,

Contributor

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Sentra Raises $5 Million To Build Enterprise General Intelligence

Sentra raises $5 Million from a16z speedrun and Together Fund to build enterprise AI that captures decisions, meetings, and organizational memory inside companies.

ByCharlie Fink,

Contributor

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Trust, But Verify: AI Deployed Correctly Has To Meet A High Bar

Leaders adopting AI must prioritize security, governance, clean data, partner integration, and scalable use cases.

ByJohn Werner,

Contributor

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NTT DATA And AWS Expand Strategic Partnership To Scale Enterprise Agentic AI Adoption

NTT Data's expanded partnership will focus on enterprise agentic AI deployment at scale, leveraging AWS cloud technologies.

ByVictor Dey,

Contributor

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Rebuilding, Redefining, Rethinking – AI In Our Pockets

Davos panel explores agentic AI ROI, context management, tabular models, productivity, and uneven workforce impacts.

ByJohn Werner,

Contributor

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How AMD Is Moving From Assistive AI To Autonomous Operations

AMD CIO Hasmukh Ranjan explains how data strategy, digital twins, and autonomous systems are reshaping enterprise AI at scale.

ByPeter High,

Contributor