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Responsible Artificial Intelligence

Norbert Bol

Artificial Intelligence (AI) is growing rapidly as it succeeds to improve productivity and customer experience in every domain of our society such as education, industry, agriculture, healthcare, finance, transportation, entertainment, security, energy, communication, etc. 2) Complement Humans. (3) 3) Ensure Human Control. (4)

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Responsible Artificial Intelligence

Norbert Bol

Artificial Intelligence (AI) is growing rapidly as it succeeds to improve productivity and customer experience in every domain of our society such as education, industry, agriculture, healthcare, finance, transportation, entertainment, security, energy, communication, etc. 2) Complement Humans. (3) 3) Ensure Human Control. (4)

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Qmarkets Spring Product Release 2019: Get to the Cutting Edge of Innovation Management…

Qmarkets

With Big Data, Machine Learning, and a more engaging user experience than ever before, Qmarkets’ latest product release delivers a set of advancements which push forward the frontier of innovation management , and help you drive more bottom-line value from your project. Using Machine Learning to Recommend Experts.

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8 Emerging Business Intelligence Trends To Look For In 2020 And Beyond

Acuvate

By 2020, augmented analytics will be a dominant driver of new purchases of analytics and business intelligence as well as data science and machine learning platforms,” the research firm stated. A prevalent 2019 business intelligence trend that will also dominate 2020 is data discovery. billion by 2025.

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Aussies Tackle Antibiotic Resistance

IdeaSpies

As the Ad hoc Interagency Coordination Group on Antimicrobial Resistance stated in their report to the Secretary-General of the United Nations in April 2019, “there is no time to wait. These researchers come from 13 organisations, including Australian leader in gut microbiome analysis, Microba. 2 World Health Organization.

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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. References: [1] Agrawal, A., How much can AI help?

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Augmented Analytics – Everything You Need to Know

Acuvate

This could be the reason why most data analytics projects tend to fail. Gartner estimates that 60 percent of big data projects fail. The fact of the matter is, a data analytics project includes several processes such as data aggregation, data extraction, cleansing, categorization, pattern analysis, insights generation etc.