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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. This presents businesses with an opportunity to enhance their search functionalities for both internal and external users.

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

Leapfrogging

Dynamic Process Adaptation : AI systems can learn from each completed project, continuously improving the phases and gates model by adapting the criteria and benchmarks for progression. For more on how AI is transforming new product and service development, please see new product & service development powered by artificial intelligence.

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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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The 7 Levels of A.I. usage: How advanced are you?

Idea to Value

.: AI is not used at all, and most processes are still performed manually (whether digitally or physically) Level 1: Unaware A.I.: AI is embedded in everyday tools without strategic intent. Organizations experiment with generative AI for simple, high-impact tasks. Level 2: Basic A.I.: Level 3: In-App A.I.:

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Building User-Centric and Responsible Generative AI Products

Speaker: Shyvee Shi - Product Lead and Learning Instructor at LinkedIn

In the rapidly evolving landscape of artificial intelligence, Generative AI products stand at the cutting edge. This presentation unveils a comprehensive 7-step framework designed to navigate the complexities of developing, launching, and scaling Generative AI products.

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Recognizing that Gen AI will be the innovation game-changer

Ecosystems4Innovating

I took a look at 1) how can AI drive innovation in different ways, 2) would this require a new operating model and 3) how the innovation workflow will require a transformational change to the operating model and 4) the outcome of a fundamental rethinking of how innovation is approached and executed. We need a game-changing approach.

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Accelerating Product Development with AI Tools

Leapfrogging

AI tools can analyze vast amounts of data, identify patterns, and provide insights that would be impossible to achieve manually. AI’s role in innovation management includes: Idea Generation : AI algorithms can analyze market trends and consumer behavior to suggest new product ideas.

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Embedded Analytics Insights for 2024

Organizations look to embedded analytics to provide greater self-service for users, introduce AI capabilities, offer better insight into data, and provide customizable dashboards that present data in a visually pleasing, easy-to-access format.