Sun.Nov 19, 2023

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The Ultimate Guide to Innovation Product Development for Success


As we step into 2023, innovative product development has become more crucial than ever before. With rapidly evolving technology and changing consumer needs, businesses need to stay ahead of the curve to remain relevant and successful. In this ultimate guide to innovation product development, we'll explore the key steps you need to take to create [.

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3 Stubborn Facts That Business Leaders Need To Accept

Digital Tonto

We need to constantly ask ourselves which ideas that are widely accepted today don’t hold water. Every era has its own fictions, things that are accepted because they are repeated, but lack any serious foundation. They become memes replicating themselves throughout the zeitgeist, rarely being questioned. When ideas are repeated often enough, we begin to take them as self-evident and don’t even question them.


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Why Evidence Plays a Key Role in Scaling Innovation

Innovation Excellence

Prove it to me! GUEST POST from John Bessant A good idea will sell itself, right? Unfortunately not — Emerson was spectacularly wrong when he suggested that all you needed to do was build that better mousetrap to have the world beating a path to your door.

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Please Reenergize, Revitalize, Reconnect and Reimagine at CoP28.


As all the delegates of CoP28 pack their things and head off to Dubai, will there be any real, lasting consensus on how we can manage our world where achieving rapid decarbonization is the priority? There are so many conflicting opinions, vested interests and “evidence” but can CoP28 achieve that with the right partnerships and immediate political, corporate, and financial action, we can live in a world beyond coal, oil, and gas — one that is safer, cleaner, healthier, and more affor

Meeting 72
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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. They're often developing using prompting, Retrieval Augmented Generation (RAG), and fine-tuning (up to and including Reinforcement Learning with Human Feedback (RLHF)), typically in that order. However, during development – and even more so once deployed to production – best practices for operating and improving generative AI applications are le