Sun.Nov 06, 2022

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Why Your Idea Will Probably Fail To Survive Victory

Digital Tonto

In the two decades I have been researching transformation and change, the failure to survive victory is probably the most consistent aspect of it. In fact, it is so common you can almost set your watch by it. Amazingly, no matter how many times change advocates experience it, they rarely see it coming. Many, in fact, seem to take pride in how many battles they have lost, seeing it as some kind of badge of honor.

Policies 219
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The Triple Bottom Line Framework

Innovation Excellence

GUEST POST from Dainora Jocuite Money, money, money. It wasn’t so long ago that it was always sunny in the rich man’s world. But today, things just aren’t that easy, and talking about money isn’t enough. Businesses cannot thrive and survive in a competitive environment with only one bottom line – profit. United Nations Global […].

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Do What People Want: Don’t Fight Human Nature

helloFUTURE

What are people like? I have a feeling that we all, on some level, already know the answer to that question. Despite this, we continue to believe that humans can alter their nature. We believe that because we appear to be intelligent and capable of change — we have these large brains that allow us… The post Do What People Want: Don’t Fight Human Nature appeared first on IDEATE AND EXECUTE.

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Innovation and Transformation Advisory and Connection Opportunity

Innovation Excellence

Braden Kelley has been focusing on human-centered change and innovation for more than twenty years, bringing in elements of design thinking, customer experience, employee experience and digital transformation as needed. On November 18, 2022 our founder will be in New York City (Midtown Manhattan) and available to connect for any of the following purposes: Private […].

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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.