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Eleven Jobs that Robots cannot do

Destination Innovation

But it is not just manual labour which will be affected by the inexorable roll out of robots, automation and artificial intelligence. The World Economic Forum predicts that robotic automation will result in the net loss of more than 5m jobs across 15 developed nations by 2020. They can also adapt and learn on the job.

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Will AI dramatically alter the economics of innovation?

Commodore Innovation

The hype surrounding artificial intelligence (AI) invites skepticism. But underlying the optimism (and fear) there’s a simple, but potentially important truth: AI, especially machine learning (deep learning in particular), could change the economics of innovation. SSRN , (July 2020).

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How Augmented Analytics Is Transforming Business Intelligence

Acuvate

It helps users to precisely gather appropriate data, arrive at coherent patterns of information, model the data for analysis and discern BI insights. How Augmented Analytics Is Transforming Business Intelligence. They have to manually develop metadata and ensure data profiling, quality, modelling and manipulation.

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Infographic – 5 trends that will revolutionize the energy market in the next few years

mjvinnovation

We need to rethink the business model to be competitive. The Digital Twins arrive with the promise to promote an ecosystem of monitoring, analysis, and mitigation of failures in the energy market. IT as a strategy: Adoption of a data-driven mindset / Services, 100% digital products / Artificial Intelligence / Blockchain.

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Twelve Jobs that Robots cannot do

Destination Innovation

But it is not just manual labour which will be affected by the inexorable roll out of robots, automation and artificial intelligence. The World Economic Forum predicts that robotic automation will result in the net loss of more than 5m jobs across 15 developed nations by 2020. They can also adapt and learn on the job.

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Data Science: Infinity War

mjvinnovation

By 2020, it is estimated that each person will be able to generate 1.7 Without artificial intelligence – look at Iron Man there, my people – it is not possible to consume, process and analyze all the information that we have at our disposal. Of course, Vision represents the Machine Learning process in Data Science.

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How Communities Are Leveraging Technology to Address Racial Equity

IdeaScale

One of the most uncomfortable discoveries in the early years of machine learning was that long-standing social biases emerged from data. While machine learning and data science were being embraced with enthusiasm, these were reminders that biases were built into data sets and needed to be compensated for.