Fri.Dec 22, 2017

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Using the Power of Crowdsourcing to Combat Humanitarian Catastrophes with Innovation

HYPE Innovation

That old saying - ‘many hands make light work’ - takes on a particular meaning in the world of innovation. Faced with open-ended challenges which require radical solutions, the more minds we have on the task the more likely it is that the innovation ‘light bulb’ will flash on! Whether we are seeking a radical new idea for a novel challenge or suggestions to help improve an existing situation there’s no doubt that shared creativity is a powerful resource.

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New Open Innovation Platform for European Farmers

IdeaConnection

Farmers in Europe are set to receive open innovation help for implementing climate-smart agriculture policies and practices. This week saw the launch of Agrisource, Europe’s first open innovation platform for climate-smart agriculture (CSA). CSA is a set of agricultural practices that sustainably increase productivity while reducing greenhouse gas emissions.

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Hallmark- Unsung Innovation based on Trends

Adam Hartung

A 100 year old greeting card company follows the trends, learns to experiment and is ahead of the Netflix/Amazon/Hulu streaming video. The Hallmark Channel is on track to keep growing into the streaming era ready for the next trend.

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Asking Engineers the Right Questions

Michael Roberto

In our extensive study of the Columbia space shuttle accident , Amy Edmondson, Richard Bohmer, and I examined the culture and leadership at NASA. Specifically, we analyzed the forces that made it difficult for engineers such as Rodney Rocha to speak up regarding their safety concerns, and we looked at how leaders did not ask probing questions to elicit dissenting views.

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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.