Wed.Oct 26, 2016

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4 Things Every Leader Needs To Learn

Digital Tonto

Great leaders do not merely plan action, they inspire belief. Related posts: The Myth Of The Heroic Leader. 4 Kinds of Leadership. What Marketers Can Learn From The Civil Rights Movement. 5 Business. [[ This is a content summary only. Visit my website for full links, other content, and more! ]].

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The Real Work of Innovation

Innovation Excellence

Being creative. Generating thousands of ideas. Making employees feel heard, valued, more than a cog in a machine. These are the superficial by-products of an in-depth discipline.

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Why Go Digital?

etventure

All the metrics you use to measure success indicate that you are doing just fine – So why “Go Digital”? etventure’s CEO for North America, Lukas Bower, provides some context – and clarifies why business leaders should not only “Go Digital”, but make innovation a top priority. Asleep at the Wheel. Years ago, I worked in the TV and film industry.

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Lessons from Four Great American Innovators

Innovation Excellence

In 1912 a young scientist from New York, Clarence Birdseye departed on a fur-trading expedition to Labrador in Canada. While he was there he noticed that the local Eskimos kept their fish fresh in winter by freezing it in the ice. He was intrigued to find that the fish retained its flavour and did not.

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Manufacturing Sustainability Surge: Your Guide to Data-Driven Energy Optimization & Decarbonization

Speaker: Kevin Kai Wong, President of Emergent Energy Solutions

In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. Manufacturing corporations across the U.S. are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets.

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Dangerous Expectations

Mike Shipulski

Expectations result from mental models and wants. When you have a mental model of a system and you want the system to behave in a way that fits your mental model, that’s an expectation. And when you want the system to behave differently than your mental model, that’s also an expectation. When the system matches your wants, the world is good. And when your wants are out of line with the system, the world is not so good.

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Augmentation and Client Embedding: The Disruption of the Consultancy Industry

Innovation 360

Right on schedule, disruption has come to the world of consulting. While many have seen it coming, only a few consulting firms are prepared to ride this wave of disruption into a new market reality. That preparation depends on new tools for augmented intelligence. Two decades ago, James Bailey awoke to a new understanding of digital thought as he worked on early prototypes of massively parallel processing for super-computers.

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Data Value: CIO Insight 3 of 5

Information Playground

This post is the third in a series of insights shared at Evanta's Global CIO Executive Summit at the Skytop Lodge in Pennsylvania last week. The insights were first shared during a keynote introducing  Data's Economic Value in the Age of Digital Business.  During the talk I presented five key insights about data value.

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Try Temptation Bundling to Make The Tough Choices

Michael Roberto

We have all faced certain choices in which we know the right thing to do, but we don't choose the best path. We should eat the lower calorie item on the menu, yet we opt for the delicious pasta dish. We should work out daily, but we skip the gym and grab a beer after work with some friends. We should save for retirement, but we opt to splurge on a vacation instead.

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Why?

Innovation Fixer

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Lessons From Airline Industry Downtime

Daniel Burrus

If you were one of the millions of travelers impacted by the technology breakdown of two major airlines a few months ago, you have my sympathies. But condolences aside, the unexpected and massive shutdown should serve as a warning to us all about the significant risks associated with an aging and often volatile IT infrastructure—that, and the value of being anticipatory with regard to changing IT requirements.

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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.

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Target dog

Innovation Fixer

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