Fri.Oct 05, 2018

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A culture of innovation? It all starts with hiring

HYPE Innovation

Creating a culture that has a thirst for and thrives on innovation is the holy grail of business today. But it’s not as tangible, nor as easy, as creating processes, borrowing best practices, and funding innovation initiatives. Managers across the globe sit and weep in their offices, because this problem … is all about. people. The one darn thing their MBA didn't teach them about.

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How Can You Overcome Corporate Antibodies?

Beyond the Obvious

I work in the innovation and technology sector. Many of my coworkers are brilliant individuals, some bordering on genius. Yet many of these men and women have almost no ability to navigate the hurdles between having an idea and getting others to support it. I’m amazed at how few people have the skill to pitch […].

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Innovation or Not – 3D Printed Body Parts

Innovation Excellence

Need a new bladder? Let me print you one made from your own cells so your body won’t reject it. Need some new skin? Let me scan the area as we go and lay down just the right type of material when and where it is needed. Sound like science fiction? It is rapidly becoming.

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Reducing Leader Overconfidence

Michael Roberto

Daniel Walters, Philip Fernbach, Craig Fox, and Steven Sloman have developed an intriguing and apparently quite effective technique to curb overconfidence. They published their research in a paper titled, “ Known Unknowns: A Critical Determinant of Confidence and Calibration." Walters described the key findings and implications from this research in a web essay published by INSEAD, where he serves on the faculty.

Study 20
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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.