Enterprise AI Strategy


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    Q&A

    Cloudera CTO: As AI evolves, governance is crucial, but challenging

    Despite rising investments in AI development, governance remains a barrier for many enterprises, Cloudera CTO Sergio Gago says in an exclusive interview.

    By • Oct. 30, 2026
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    How business executives are combating AI sycophancy

    Discover how experts view AI sycophancy and the strategies they use to safeguard their organizations, from using AI tools as a “judge” to frameworks that work to eliminate the problem.

    By • Oct. 30, 2026
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    Google’s ACE offers cloud alternative for agentic isolation

    Google steps into the infrastructure-based agentic security fray with Agent Compute Engine, rooting sandboxes in its TPUs.

    By Agam Shah, freelance writer • Oct. 30, 2026
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    AI superusers drive usage, but broader adoption proves harder

    Giving employees AI tools is one thing. Getting them to use those tools takes more — and some IT leaders are rethinking the incentives.

    By • Oct. 30, 2026
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    Prompt: AI demand is booming. The economics are getting complicated.

    Anthropic’s IPO filing shows soaring enterprise AI demand, but falling prices for AI models plus high overhead is complicating the path to profitability.

    By • Oct. 30, 2026
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    Anthropic IPO puts enterprise AI returns in focus

    Anthropic's IPO filing shows booming demand for Claude. But before scaling AI, CIOs should measure total cost, workflow gains and switching flexibility.

    By • Oct. 30, 2026
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    Podcast

    Anthropic IPO filing offers clues for enterprise AI, model price wars

    Anthropic IPO filing provides signals for enterprise AI. OpenAI slashes model prices, again.

    By , , • Oct. 29, 2026
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    Expert Advice

    Ways to manage AI model updates without breaking production

    Learn how AI model upgrades, version changes and deprecations can affect business workflows and explore AI model update management best practices.

    By • Oct. 29, 2026
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    Q&A

    How World Insurance’s CIO evaluates AI skills in IT hires

    AI experience on a resume isn't enough. CIO Michael Corrigan wants candidates to show how they've used the tools, what they achieved and why it mattered.

    By • Oct. 29, 2026
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    What CIOs are learning as AI agents take on real workflows

    Production experience is teaching CIOs that reliable AI agents depend on evolving workflows, business rules and controls — and can also reveal older problems.

    By • Oct. 29, 2026
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    Chinese AI invasion gives enterprises a new way to control cost

    Low-cost, powerful Chinese open-weight models are becoming a competitive threat to U.S. closed models from vendors such as Anthropic and OpenAI.

    By • Oct. 28, 2026
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    IT leaders reveal the hidden costs of AI adoptions budgets miss

    Discover the hidden AI adoption costs—token sprawl, messy data and workforce prep—that IT leaders say most executives fail to budget for.

    By • Oct. 28, 2026
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    Inside the push to make workers trust and use AI

    As enterprises increasingly adopt AI technologies, employees often face uncertainty and fear about job security and workplace monitoring.

    By • Oct. 27, 2026
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    Agentic network operations set to surge amid AI tsunami

    Enterprise comfort with agentic network operations is increasing as rising AI app usage is poised to compound network complexity and security risks.

    By • Oct. 27, 2026
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    Forget tokenmaxxing: IT leaders want AI that’s worth the cost

    At OpenText World, IT leaders made the case for examining business processes and using simpler automation to avoid unnecessary AI token costs.

    By • Oct. 27, 2026
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    AI makes Rust rewrites easier, but there are caveats

    AI can make it easier to update legacy apps to Rust for stronger security, but a language switch does not solve system design problems.

    By • Oct. 27, 2026
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    Welcome to TechTarget AI

    New look, same trusted voice. At TechTarget AI, we focus on real-world AI implementation, prioritizing the considerations and developments that truly matter for enterprises.

    By , • Oct. 27, 2026
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    DeepSeek makes DeepInfer open source to cut AI costs

    With the move, the Chinese AI vendor is looking to gain an advantage in the open source market, while addressing enterprise concerns about steep token rates.

    By • Oct. 20, 2026
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    Expert Advice

    Cost per task: A new method for AI spend management

    Rather than relying on traditional metrics such as per-seat or per-token pricing, some businesses are measuring AI cost per successful task to manage their AI spending.

    By • Oct. 16, 2026
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    Enterprise controls can’t keep up with AI agents

    Companies are giving agents more authority, but many are still struggling to track what they can access, what they're doing and how to stop them.

    By • Oct. 16, 2026
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    IBM: Agentic AI is reshaping governance, controls and trust

    As AI agents move from answering questions to making decisions and acting, businesses face a growing challenge of keeping accountability in step with the pace of change.

    By Scarlett Evans • Oct. 14, 2026
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    Anthropic IPO: Market forces and enterprise AI effects

    Anthropic's pending move intensifies the financial scrutiny on AI companies' business models, which will have downstream effects on enterprise AI adoption.

    By • Oct. 14, 2026
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    Opinion

    We need responsible people to drive responsible AI

    Rules alone can't make AI safe -- IAPP's Trevor Hughes argues it's time to build and scale a professionalized AI governance workforce before risks outpace oversight.

    By J. Trevor Hughes, president and CEO of IAPP • Oct. 14, 2026
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    Western open-weight campaign could give enterprises more control over AI

    New Western open-weight models could give enterprises an alternative to Chinese and proprietary AI, but greater control also brings new responsibilities.

    By • Oct. 8, 2026
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    Expert Advice

    Consolidated vs. best-of-breed AI strategies: A C-suite guide

    Deciding to buy AI is only the first step in procurement. Next, leaders must evaluate whether to go with a single vendor or specialize AI tools for different parts of the stack.

    By Chris Tozzi • Oct. 8, 2026