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Using Generative AI to Drive Corporate Impact

TechEmpower Innovation

Generative AI is revolutionizing how corporations operate by enhancing efficiency and innovation across various functions. Focusing on generative AI applications in a select few corporate functions can contribute to a significant portion of the technology's overall impact.

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Innovation thinking in Ecosystem and Generative AI design.

Paul Hobcraft

Innovation is undergoing a radical change, in opening up to technology, collaborative thinking and the value of generative AI thinking. For me, ecosystem innovation and generative AI have arrived at that pivotal point to significantly influence future innovation design. Generative AI can ignite ecosystem innovation.

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Integrating AI into Each Stage of the Innovation Process

Leapfrogging

Artificial Intelligence (AI) is revolutionizing the way innovation is approached and managed. By integrating AI into the innovation process, you can leverage advanced algorithms and data analytics to enhance creativity, streamline workflows, and make more informed decisions. Lead Successful Innovation Projects!

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Leveraging AI to Drive the Innovation Lifecycle

Leapfrogging

Innovation Lifecycle Management (ILM) refers to the systematic process of managing the journey of an idea from inception to market release. By managing these stages effectively, you can streamline your innovation processes and enhance the chances of success for new initiatives.

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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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Accelerating Product Development with AI Tools

Leapfrogging

Artificial Intelligence (AI) is revolutionizing the way you manage innovation. By leveraging AI, you can streamline various aspects of the innovation process, from idea generation to product launch. For more on this, visit our article on AI for idea generation. Lead Successful Innovation Projects!

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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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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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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

Setting & Managing Expectations 📊 Establish and effectively manage realistic expectations for the performance, capabilities, and limitations of LLM-based products throughout their lifecycle. Prototyping & UX 🛠 Get step-by-step guidance on building prototypes and designing user interfaces that maximize LLM usability.

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Using Data & Analytics for Improving Healthcare Innovation and Outcomes

In the rapidly evolving healthcare industry, delivering data insights to end users or customers can be a significant challenge for product managers, product owners, and application team developers. The complexity of healthcare data, the need for real-time analytics, and the demand for user-friendly interfaces can often seem overwhelming.

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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.

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Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success?