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1,891 articles · page 10 of 38

HPCwire, Tuesday, November 11th, 2025

AI Is Everywhere, But Progress Is Slow - McKinsey Explains Why

Vol 332 · Issue 2 · 2025-11-11

Just 39% of companies claim that AI has had an enterprise-wide impact. For a lot of leaders, 2025 was meant to be the year that transformed their business using AI. Instead, McKinsey's latest report demonstrates that most companies are still spinning their wheels with experiments and can't scale AI in a meaningful way across the organization.

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AI Is Everywhere, But Progress Is Slow - McKinsey Explains Why

Inside AI News, Friday, November 7th, 2025

AI Performance Myths: Do IOPS Actually Matter?

Vol 332 · Issue 1 · 2025-11-07

With all the buzz around artificial intelligence and machine learning, it's easy to lose sight of which high-performance computing storage requirements are essential to deliver real, transformative value for your organization.

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AI Performance Myths: Do IOPS Actually Matter?

Analytics Insight, Thursday, October 30th, 2025

4 Shadow AI Detection Tools Every Enterprise Should Know In 2025

Vol 331 · Issue 5 · 2025-10-30

AI adoption inside enterprises has exploded, and with it comes shadow AI tool sprawl. Different tools solve different parts of the problem. Superblocks helps standardize development on a governed platform, Nightfall and Cyberhaven monitor data flowing into AI tools, and Zylo provides SaaS visibility.

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4 Shadow AI Detection Tools Every Enterprise Should Know In 2025

Techstrong.ai, Thursday, October 30th, 2025

Enterprise AI Adoption Grows As Leaders Demand Measurable Returns: Wharton Study

Vol 331 · Issue 5 · 2025-10-30

Generative artificial intelligence (AI) has rapidly evolved from experimental technology to business-critical tool, with 82% of enterprise leaders now using it weekly and nearly half incorporating it into their daily workflows, according to a new study from Wharton Human-AI Research that offers a strong rebuke to a controversial MIT study in August.

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Enterprise AI Adoption Grows As Leaders Demand Measurable Returns: Wharton Study

Gartner, Wednesday, October 29th, 2025

Gartner Survey Finds 45% Of MarTech Leaders Say Existing Vendor-Offered AI Agents Fail To Meet Their Expectations Of Promised Business Performance

Vol 331 · Issue 5 · 2025-10-29

Forty-five percent of martech leaders with AI agents in pilots or production say existing vendor-offered AI agent capabilities do not meet company expectations of promised business performance, according to a survey by Gartner, Inc., a business and technology insights company.

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Gartner Survey Finds 45% Of MarTech Leaders Say Existing Vendor-Offered AI Agents Fail To Meet Their Expectations Of Promised Business Performance

The Register, Monday, October 27th, 2025

The Chinese Box And Turing Test: AI Has No Intelligence At All

Vol 331 · Issue 5 · 2025-10-27

Remember ELIZA? The 1966 chatbot from MIT's AI Lab convinced countless people it was intelligent using nothing but simple pattern matching and canned responses. Nearly 60 years later, ChatGPT has people making the same mistake. Chatbots don't think - they've just gotten exponentially better at pretending.

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The Chinese Box And Turing Test: AI Has No Intelligence At All

Security Boulevard, Thursday, October 16th, 2025

AI And The Golden Age Of Surveillance

Vol 331 · Issue 3 · 2025-10-16

In the Cold War and McCarthy era, surveillance was a matter of craft, not computation. It took people, patience and paperwork. Agents had to physically follow a suspect through crowded streets, steam open letters, or plant microphones in hotel rooms.

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AI And The Golden Age Of Surveillance

Techstrong.IT, Tuesday, October 14th, 2025

Measuring ROI For AI Agents In The Enterprise

Vol 331 · Issue 3 · 2025-10-14

Muralidhar Krishnaprasad, president & CTO of 360 Platform, Apps, Industries and Agentforce at Salesforce, dives into how organizations should be thinking about justifying the return on investment (ROI) for artificial intelligence (AI) agents.

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Measuring ROI For AI Agents In The Enterprise

Security Boulevard, Monday, October 13th, 2025

Is America Behind The Ball When It Comes To AI Regulation?

Vol 331 · Issue 3 · 2025-10-13

When it comes to regulating AI, America seems to be, at best, taking a wait-and-see or perhaps a laissez-faire approach. Meanwhile, other countries (particularly in Europe and China) are actively regulating what AI can do, how it can be used, and how it is to operate. Who is right?

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Is America Behind The Ball When It Comes To AI Regulation?

Techstrong.ai, Wednesday, October 8th, 2025

Orchestration Frameworks For Managing AI Agents

Vol 331 · Issue 2 · 2025-10-08

In this Techstrong.ai Leadership Insights interview, KamiwazaAI Field CTO James Urquhart explains why orchestration frameworks will play a critical role in enabling organizations to manage thousands of artificial intelligence (AI) agents.

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Orchestration Frameworks For Managing AI Agents

HPC Wire, Monday, October 6th, 2025

AI's Big Data Step Function

Vol 331 · Issue 2 · 2025-10-06

Conventional wisdom holds that you need to fix your data management shortcomings before succeeding with AI. But that may no longer be true, according to some tech execs, who see the potential to apply generative AI's capability to grasp language and fix data management issues at the same time you're building AI apps.

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AI's Big Data Step Function

Digital CxO, Thursday, October 2nd, 2025

AI Cybersecurity Arms Race: Are Companies Ready?

Vol 331 · Issue 1 · 2025-10-02

Every few years, a new catchphrase dominates the cybersecurity industry. We've lived through 'zero-trust,' 'extended detection and response' and 'threat intelligence.' Some concepts stick and shape the way we defend ourselves; others fade into the background noise.

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AI Cybersecurity Arms Race: Are Companies Ready?