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The latest opinion pieces by industry thought leaders on AI

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    Time for AI: The ‘too busy’ problem is a software-age hangover

    Higher education must prioritize enterprise AI as a strategic shift, not just tool buying. Learn how governance, alignment and a five-year plan can transform institutions.

    Robert Clougherty • March 13, 2026
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    Why multimodal AI is reshaping enterprise intelligence

    Multimodal AI can transform industries by combining text, images, video and audio to solve complex problems single-modality systems often can't address.

    Stephen Catanzano • March 4, 2026
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    How CIOs should architect trust in AI -- not just govern it

    When designing trustworthy enterprise AI applications, platform architecture, not policy alone, is the best way to minimize long-term risk and ensure compliance and sustainability.

    Varun Raj • Feb. 27, 2026
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    What Nvidia’s $78B quarter tells you about enterprise AI

    Nvidia's latest earnings reveal more than impressive revenue figures. They highlight the accelerating adoption of enterprise AI and the growing pressure on infrastructure capacity.

    Mike Leone • Feb. 26, 2026
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    Is neuromorphic computing the future of AI hardware?

    AI hardware is hitting its limits. Is neuromorphic computing with its reduced energy use and latency a viable alternative? Hear one expert's take on this emerging technology.

    Abhishek Jadhav • Feb. 26, 2026
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    How agentic AI is changing work, strategy and competitiveness

    AI agents are transforming work, business strategy and global competitiveness by enabling autonomous workflows, innovation and value creation in enterprises.

    Kishan Kumar • Feb. 25, 2026
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    Reproducibility: Is your AI project doomed?

    AI governance focuses on mitigating risks from generative AI's unpredictability. Key strategies include reproducibility, explainability and comprehensive controls.

    Guy Pearce • Feb. 24, 2026
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    The role of AI and humanics in training healthcare professionals

    The integration of AI and humanics in education is shaping the future of healthcare, with an emphasis on empathy, innovation and whole-person care.

    Michael Avaltroni • Feb. 20, 2026
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    The operational reality of enterprise AI

    AI models are now commodities. It's enterprise challenges like security, scalability and integration are the real barriers to successful deployment.

    Mike Leone • Feb. 2, 2026
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    Building governance for machine speed: The path to trusted AI autonomy

    Governance systems need to match the speed of the AI agents they govern with real-time monitoring and dynamic enforcement. That's how companies balance autonomy and accountability.

    Stephen Catanzano • Jan. 27, 2026
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    The €200B gamble: Will Europe’s AI sovereignty vision become reality?

    The EU's AI Continent Action Plan aims to establish a public-private partnership that fosters AI sovereignty via AI infrastructure, homegrown models and innovation.

    Mark Beccue • Jan. 26, 2026
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    Setting the stage for 2026: Continuing AI pragmatism

    Physical AI adoption, shifts in generative AI dominance and sovereign AI's rise in Europe and India are some predictions for 2026, according to Omdia's Mark Beccue.

    Mark Beccue • Jan. 9, 2026
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    The big AI misconception: Most AI apps run on CPUs, not GPUs

    While the industry touts GPUs as the foundation for AI applications, CPUs can still provide the reliable and quick processing that's necessary for most daily AI use cases.

    Stephen Catanzano • Nov. 19, 2025
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    An instructor’s perspective on the use of AI in education

    Should AI be used in educational settings? Hear one technical instructor's thoughts on the complex issue.

    Damon Garn • Nov. 14, 2025
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    Why managing GenAI models is like owning a paddleboard

    Lessons on GenAI model management can come from unlikely sources -- even from buying a paddleboard for the first time.

    Mark Beccue • Sept. 9, 2025
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    IBM delivers AI agent orchestration innovations at Think 2025

    IBM's focus on AI agent orchestration, observability, and governance supports enterprise IT departments' need for a tool that spans multiple vendor platforms.

    Mark Beccue • June 4, 2025
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    What comes after LLMs? The next wave in generative AI

    Large language models ushered in a new era of AI, but they're not without their fair share of limitations. What technology comes next?

    Chris Tozzi • June 3, 2025
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    Google Cloud Next 2025: Ambition to lead AI agent ecosystem

    The cloud giant delivered new tools to provide interoperability, enterprise security, powerful reasoning-capable models and low-latency infrastructure for AI.

    Mark Beccue, Principal Analyst, AI • April 15, 2025
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    Agentic AI reality check: 5 blind spots for organizations

    An analyst warns that, amid the hype around agentic AI, organizations risk overlooking hidden costs, ethical challenges and workforce readiness.

    Mike Leone • April 4, 2025
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    Can AI write code? A developer experiments in two languages

    AI tools are becoming a realistic option to help with coding tasks. This developer put his own coding abilities to the test.

    Brien Posey • March 25, 2025
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    How RAG unlocks the power of enterprise data

    An industry analyst's perspective on how retrieval-augmented generation can enhance LLM accuracy, reduce hallucinations and scale AI adoption.

    Stephen Catanzano • March 7, 2025
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    Small language models are taking the spotlight

    An industry analyst shares his perspective on why larger models aren't always better for enterprises.

    Stephen Catanzano • Feb. 26, 2025
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    The critical role of data in building an AI agent

    Data quality, modern tooling and AI governance are key to building successful AI agents that meet user expectations, writes industry analyst Stephen Catanzano.

    Stephen Catanzano • Jan. 24, 2025
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    Not-so-obvious AI predictions for 2025

    Industry analyst Mark Beccue shares where he thinks AI is headed in 2025, with an eye to underexplored trends and unexpected developments in the industry.

    Mark Beccue • Jan. 3, 2025
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    AI takeaways from AWS re:Invent 2024

    An industry analyst shares his insights from AWS re:Invent 2024, where Amazon announced new tools and models to tackle enterprise generative AI challenges.

    Mark Beccue • Dec. 19, 2024