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How to Use Generative AI and LLMs to Improve Search

TechEmpower Innovation

Artificial Intelligence (AI), and particularly Large Language Models (LLMs), have significantly transformed the search engine as we’ve known it. With Generative AI and LLMs, new avenues for improving operational efficiency and user satisfaction are emerging every day.

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Innovation on Steroids: Next Generation AI-Powered Phases and Gates

Leapfrogging

AI technologies bring a new dimension of analytical capabilities and insights that were previously unattainable. By harnessing the power of AI, organizations are able to process vast amounts of data, identify patterns, and make more informed decisions at every phase of the innovation process.

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Embracing the Future: Fractional Executives and Generative AI

Tullio Siragusa

Embracing the Future: Fractional Executives and Generative AI The concept of fractional executives has emerged as a game-changer for companies of all sizes. The rise of Generative Artificial Intelligence (AI) has further empowered fractional executives, enabling them to produce full-time results in significantly less time.

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Leveraging the Potential of Generative AI to Drive Business Success

Daniel Burrus

In the evolving digital landscape, the term “artificial intelligence” (AI) is no longer an alien concept. What’s more intriguing is the advent of generative AI that’s poised to revolutionize various business sectors.

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LLMs in Production: Tooling, Process, and Team Structure

Speaker: Dr. Greg Loughnane and Chris Alexiuk

Technology professionals developing generative AI applications are finding that there are big leaps from POCs and MVPs to production-ready applications. However, during development – and even more so once deployed to production – best practices for operating and improving generative AI applications are less understood.

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3 Obstacles to Regulating Generative AI

Harvard Business Review

Governments are coming out with new laws and regulations aimed at containing the risks posed by generative AI. A better approach is to regulate the development processes used to develop generative AI and to embed laws within software systems. They won’t work because they won’t be able to overcome three obstacles.

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Boosting Innovation: Harnessing AI for New Product & Service Development

Leapfrogging

The Intersection of AI and Innovation Management Defining Innovation Management with AI Innovation management refers to the process and activities that organizations use to manage and nurture new ideas into marketable products and services. Enhance cross-functional collaboration through shared insights and decision-making platforms.