IdeaScale
OCTOBER 25, 2017
Ford wasn’t just known for cars, but innovation. “If I had asked people what they wanted, they would have said faster horses.” Henry Ford didn’t mean, necessarily, to sum up the greatest obstacle to innovation in that quote. Really, it’s just one of many pithy one-liners and inspirational quotes Ford tossed off the cuff over his life.
Digital Tonto
OCTOBER 25, 2017
The truth is that data security and operational excellence go hand-in-hand Related posts: If Big Data Is To Live Up To Its Promise, We Need To Fix Our Data Systems. How Big Data Can Create Real. [[ This is a content summary only. Visit my website for full links, other content, and more! ]].
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Innovation Excellence
OCTOBER 25, 2017
History skews our perception of possibility. It’s easy to forget that man’s great achievements were mere “mights” for those on the other side of the present. Take the Apollo 11 moon landing. Retold today, that “one giant leap for mankind” was but a series of surefooted steps taken by America’s scientists and engineers.
Mike Shipulski
OCTOBER 25, 2017
Creativity and innovation are dominated by uncertainty. And in the domain of uncertainty, not only are the solutions unknown, the problems are unknown. And yet, we still try to use the tried-and-true toolbox of certainty even after it’s abundantly clear those wrenches don’t fit. When wallowing in the mud of uncertainty and company leaders ask, “When will you be done?
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.
Daniel Burrus
OCTOBER 25, 2017
Teegan Lexcen’s doctors were at a loss. Born in August 2015 with only one lung and half a damaged heart, the Minnesota infant’s condition seemed undeniably fatal. Then a $20 product saved Teegan’s life. A staff member at Nicklaus Children’s Hospital in Miami suggested Google Cardboard, a virtual reality device, to boost images of Teegan’s tiny organs into three-dimensional detail that made surgery possible.
InnovationManagement
OCTOBER 25, 2017
IRIBU, the robot, a gold medalist at the last International Robot Olympics, slowly sits on the couch and leans back with a grin on face. He is in a large square room, decorated with antiquity, providing the intellectual ambiance for a tactical discussion.
Business Innovation Brief brings together the best content for business innovation and strategy professionals from the widest variety of industry thought leaders.
hackerearth
OCTOBER 25, 2017
HackerEarth is pleased to announce its next webinar on Innovation Management to help you learn from thought leaders and domain experts from all over the world. Register Now. About this webinar. The fundamental practice of generating ideas and bringing it to market has evolved significantly. And companies are constantly looking for efficient models to propel innovation.
InnovationManagement
OCTOBER 25, 2017
Running a business is a complicated process, especially considering all the paperwork, accounting and financial statements which need to constantly be managed.
Michael Roberto
OCTOBER 25, 2017
In many cases, workers are shocked when they are dismissed from their jobs. They don't see it coming. In today's Wall Street Journal, Sue Shellenbarger writes about the signs that might suggest your job is at risk. Here's her list of warning signs: Your boss stops dropping by your desk with suggestions. You’re left out of important meetings you used to attend.
InnovationManagement
OCTOBER 25, 2017
With all the concern about plastics polluting our oceans it is time to think seriously about innovating with packaging.
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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