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Latest from today

News
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Salesforce unveils simulation environment for training AI agents

eVerse uses synthetic data generation, stress testing, and reinforcement learning to train AI voice and text agents on simulated tasks prior to deployment.

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15 Nov 20255 mins
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Make boards responsible for AI failures, banking regulator suggests

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The biggest enterprise technology M&A deals of the year (so far)

2025 is seeing strong acquisition activity among enterprise technology vendors, with AI a key consideration.

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Hybrid AI: The future of certifiable and trustworthy intelligence

How CIOs can unify learning and reasoning to drive trustworthy, verifiable AI.

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brandpostSponsored by Fastly

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Why it's time to build dumb applications

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Agentic AI has big trust issues

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AI is redefining work. Now, leaders must redefine how they lead

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Spotlight: AI in Enterprise

Articles Buyer’s Guide

Agentic AI burst onto the scene with its promises of streamlining operations and accelerating productivity. But what’s real and what’s hype when it comes to deploying agentic AI? This Special Report examines the state of agentic AI, the challenges organizations are facing in deploying it, and the lessons learned from the success stories. Explore what’s actually happening now with agentic AI and what the near future holds.

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Hear from the Experts

[W]e are now in an era where banks seem to have become technology organisations first and financial service providers second.
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Vinit Singh Chauhan
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DEMO

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Inside Genesys’ AI Studio: How agentic AI enables business. users to build better bots

In this episode of DEMO, host Keith Shaw sits down with Josh Goldlust, Vice President of Product Management at Genesys, to showcase their latest innovations: AI Studio and AI Guide. These new tools allow enterprise teams—regardless of technical background—to design and deploy powerful virtual agents using plain language and low-code interfaces.

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podcastsSponsored by Colt Technology Services

Accelerating AI

Enterprises are highly ambitious about AI, but many face a mismatch between expectations and infrastructure capabilities. Common issues include high implementation costs, difficulty scaling, and bandwidth shortages. So how can enterprises close the AI gap between ambition and reality? In this podcast series, brought to you by CIO and Colt, our guests will provide practical advice on how enterprises can future-proof infrastructure, including how edge and hybrid models can help ensure a secure and scalable transition to AI.

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    14 May 202213 mins
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    Episode1: From Ambition to Reality

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    14 May 202214 mins
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Sponsored Links

  • Reimagine tomorrow. Become a future-ready, AI-powered enterprise with EY Consulting.
  • CIO Think Tank Roadmap Report: Information management in the age of AI
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