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The latest opinion pieces by industry thought leaders on AI

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    Will AI replace technical writers? One user’s experience

    As with many jobs, how AI advancements will affect the future of technical writing is up for debate. Hear from one expert on why AI is here to stay -- but so are technical writers.

    Damon Garn • Aug. 23, 2024
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    What companies are getting wrong about AI

    Incorporating AI successfully means reimagining the organization. Learn how a phased approach can combat structural challenges and foster cross-team collaboration and innovation.

    Ram Bala, Natarajan Balasubramanian, Arun Rao, Amit Joshi • June 28, 2024
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    Dell AI Factory takes the spotlight at Dell Technologies World

    Dell has aligned its entire portfolio behind AI and has expanded critical partnerships to support customers adopting artificial intelligence technologies.

    Mike Leone • May 29, 2024
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    At Red Hat Summit 2024, generative AI goes open source

    Analyst Scott Sinclair unpacks this year's Red Hat Summit, where the company launched new AI integration tools and features as part of its open source generative AI strategy.

    Scott Sinclair • May 16, 2024
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    Google Cloud Next 24 recap: GenAI tools for enterprises

    New products introduced at Google Cloud Next stand to provide enterprises with GenAI tools for analytics, data management, AI model building and more.

    Mike Leone • April 17, 2024
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    Everything you need to know about the new EU AI Act

    The European Union's new AI Act defines AI regulations based on risk and outlines hefty fines for noncompliance. Explore the details of the AI Act and how it could apply to you.

    Stephen Catanzano • March 20, 2024
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    AI news roundup: OpenAI video model, Nvidia chatbot and more

    Explore last week's AI news highlights with analyst Mike Leone's roundup of top developments, including OpenAI's launch of video model Sora and Nvidia's locally running chatbot.

    Mike Leone • Feb. 21, 2024
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    AI news highlights: Gemini Ultra, Cisco-Nvidia partnership

    Explore last week's AI highlights with analyst Mike Leone's roundup of top news headlines, including updates to Google's Gemini Ultra and strategic acquisitions and partnerships.

    Mike Leone • Feb. 12, 2024
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    FTC inquiry, Claypot acquisition and more recent AI news

    Enterprise Strategy Group analyst Mike Leone breaks down five of the most significant news developments in generative AI from the past week.

    Mike Leone • Feb. 7, 2024
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    6 generative AI predictions for 2024

    Analyst Mike Leone predicts what's next for generative AI -- from open source to regulatory shifts -- offering a comprehensive view of where the industry is headed in 2024.

    Mike Leone • Dec. 13, 2023
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    Amazon’s innovative generative AI moves at re:Invent 2023

    Analyst Mike Leone takes a comprehensive look at Amazon's generative AI announcements at this year's re:Invent, including the Q assistant, Bedrock enhancements and chip updates.

    Mike Leone • Dec. 12, 2023
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    The role of precision in crafting generative AI prompts

    Enterprise Strategy Group analyst Stephen Catanzano explains how and why to craft precise queries that get actionable, relevant results from generative AI models.

    Stephen Catanzano • Dec. 11, 2023
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    Microsoft Ignite updates pave the way for GenAI innovation

    Microsoft's latest products and updates to existing platforms center on using artificial intelligence to improve productivity.

    Mike Leone • Nov. 17, 2023
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    Google extends generative AI leadership at Google Cloud Next

    Industry analyst Mike Leone unpacks the wave of generative AI announcements at the recent Google Cloud Next conference, including updates to Vertex and Duet.

    Mike Leone • Sept. 8, 2023
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    Why and how to develop a set of responsible AI principles

    Enterprise AI use raises a range of pressing ethical issues. Learn why responsible AI principles matter and explore best practices for enterprises developing an AI framework.

    Emili Budell-Rhodes • Aug. 17, 2023
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    Tracking recent generative AI news from 9 big tech companies

    Analyst Mike Leone breaks down the latest generative AI announcements and products from big tech, spanning conversational AI, developer tools, industry partnerships and more.

    Mike Leone • July 17, 2023
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    HPE goes all-in on supercomputing in the cloud

    Given the popularity of large language model technology, tech vendors such as HPE are now looking to give customers offerings to help them train these models.

    Mike Leone • July 5, 2023
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    AI needs guardrails as generative AI runs rampant

    Generative AI hype has businesses eager to adopt it, but they should slow down. Frameworks and guardrails must first be put in place to mitigate generative AI's risks.

    Mike Leone • June 8, 2023
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    Recap: Tableau Conference and ThoughtSpot Beyond 2023

    Two events, each hosted by a different data analytics software provider, signify the tech industry's increased focus on democratizing AI -- especially generative AI.

    Mike Leone • May 12, 2023
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    The ‘iPhone moment’ for generative AI

    Tech companies are now redirecting their attention and resources to develop generative AI. Like the invention of the iPhone, generative AI is now disrupting the tech industry.

    Mike Leone • March 24, 2023
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    The rise of automation and governance in MLOps

    MLOps can make many of an organization's operations more efficient, but only when its automation capabilities are paired with effective governance strategies.

    Mike Leone • March 3, 2023
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    Data, analytics and AI predictions for 2023

    The expansion of big data, analytics and artificial intelligence we saw in 2022 will continue into the new year and present both new opportunities and challenges for organizations.

    Mike Leone • Jan. 11, 2023
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    Augmented analytics, decision intelligence power modern BI

    Business intelligence is rapidly evolving, and businesses would be best equipped to handle today's data analytics challenges with both augmented analytics and decision intelligence.

    Mike Leone • Sept. 12, 2022
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    Why banks need MLOps for digital transformation

    Financial institutions should look to MLOps to ease the development, deployment and management of machine learning models. MLOps is often ignored, yet banking will benefit from it.

    Tanika Gupta • Aug. 4, 2022
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    Model optimization methods to cut latency, adapt to new data

    This last part of the series on machine learning explains two final model optimization techniques: lightweight model implementation and incremental model learning.

    Arcitura Education • Sept. 14, 2021