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

Leapfrogging

The Evolution of Innovation Management Innovation management has undergone significant transformation over the years. Traditional Phases and Gates Processes Traditionally, the phases and gates model has been a cornerstone in structuring innovation management.

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Generative AI, ChatGPT and Large Language Models: A 101

Acuvate

The introduction of ChatGPT and other cutting-edge AI-led data analytics and visualization tools has sparked a lot of buzz in the tech world. The secret to these models’ success is Generative AI, which creates text that sounds remarkably human, enabling business users with data analytics outcomes that feels far more natural.

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Unlocking the Potential of Retrieval-Augmented Generation (RAG)

Acuvate

In the rapidly advancing field of artificial intelligence, Retrieval-Augmented Generation (RAG) stands out as a transformative approach. By merging external knowledge with Large Language Models (LLMs), RAG overcomes the limitations of static training datasets, resulting in more dynamic, accurate, and context-aware outputs.

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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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Generative AI Deep Dive: Advancing from Proof of Concept to Production

Speaker: Maher Hanafi, VP of Engineering at Betterworks & Tony Karrer, CTO at Aggregage

Executive leaders and board members are pushing their teams to adopt Generative AI to gain a competitive edge, save money, and otherwise take advantage of the promise of this new era of artificial intelligence.

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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.

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Unleashing the Power of AI in Innovation Management

Leapfrogging

The Intersection of AI and Innovation Management My journey into the realm of innovation management began as I witnessed many clients wrestling with the increasing complexity of developing new products and services. The Rise of AI in Innovation Management What is Artificial Intelligence?

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Launching LLM-Based Products: From Concept to Cash in 90 Days

Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage

In this exclusive webinar, Christophe will cover key aspects of his journey, including: LLM Development & Quick Wins 🤖 Understand how LLMs differ from traditional software, identifying opportunities for rapid development and deployment.

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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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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. These products, with their unique capabilities, bring fresh opportunities and challenges that demand a fresh approach to product management.