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Moving innovation even more in 2016

Paul Hobcraft

Are we entering 2016 with an innovating mind-set? As we look to enter into 2016 what is top of mind for innovation to take hold and become the real core within our business organizations? Wishing you a cracking innovating time in 2016. We need too, so as to seize the growth that is tougher to find.

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How to Use Big Data For Improving Driver Safety

Acuvate

This goal seems achievable with massive advancements in automotive technology and big data. Today, one of the biggest use cases of big data and advanced analytics in the automobile and transport industry is to leverage data to improve the safety of vehicles and on the road. How Big Data Can Be Used To Improve Driver Safety.

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2016, The Year of Machine Learning

Yet2

The talented project team in our Europe office have put together a brief article around the kinds of work we have been engaged in throughout 2016, and we are keen to get your feedback around parallels between our work and your needs. Machine learning is method of giving computers the ability to learn without being explicitly programmed.

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Patty's Pioneers' Tech Predictions 2016

Outside Innovation

Several touched on topics I hadn't heard of, much less thought about, such as: Biogenetic Malware: CRISPR : Pat Kerpan: " In 2016, we'll get the first real "MALWARE" scare from the CRISPR biogenetic technologies.". Silicon Cognition & Pre-Cognition: Scott Jordan: " These systems learn by observing large data sets.

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Patty's Pioneers' Tech Predictions 2016

Outside Innovation

Several touched on topics I hadn't heard of, much less thought about, such as: Biogenetic Malware: CRISPR : Pat Kerpan: " In 2016, we'll get the first real "MALWARE" scare from the CRISPR biogenetic technologies.". Silicon Cognition & Pre-Cognition: Scott Jordan: " These systems learn by observing large data sets.

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Penker’s reflections on The Drucker Forum 2016

Innovation 360

Clayton Christensen opened his speech by sharing his thoughts about data. He said that data is not created by God and it is not the truth, it is most likely to be found in hell, so he will not ask for data in the afterlife. Clip from Magnus Penker speech on Drucker Forum 2016.

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Artificial Intelligence: A Question of Data

Daniel Burrus

and the vast quantity of data that China is capable of generating on a daily basis, has many wondering if the U.S. Data is the fuel that feeds A.I. The more data you have, the more A.I. Most feel it’s all about the quantity of data. The value and quality of data being used by A.I. can learn and adapt.