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How Big Data And AI Are Aiding The Fight Against Pandemics

Acuvate

However, trying to do so poses a huge challenge for the public health authorities as it requires a large amount of information to be gathered in real-time and analysed quickly in order to come up with an effective combat strategy. This raw data is then analyzed with machine learning algorithms to identify patterns and trends.

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6 Remarkable Applications of AI in the Oil & Gas Industry

Acuvate

Consequently, like every other sector, O&G is exploring the vast potential of Artificial Intelligence (AI) applications to increase productivity, boost security, enhance equipment availability, maintenance, and uptime, and enable sustainable operations. This data repository is analyzed by AI algorithms in real time.

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11 Artificial Intelligence Eureka!s for Organizations: my recap of World Summit AI 2017

Open Innovation EU

In 1990 Kurzweil instantly incubated the way we think about Artificial Intelligence (AI) with his work The Age of Intelligent Machines. Last week, on October 11 and 12, over 2000 professionals in AI gathered in Amsterdam at the World Summit AI 2017 and discussed the state of Artificial Intelligence and Machine Learning.

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Does Artificial Intelligence always make the better decision?

etventure

Big Data, Artificial Intelligence – terms that have dominated the business world for quite some time and which, among other things, provide a large mass of data that not everyone knows how to deal with properly. In this way, human and artificial intelligence can be effectively combined.

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Journal Article: Big Data in Innovation Management

ITONICS

How machine learning is revolutionizing the search for trends and technologies. Large amounts of data are available for this purpose, from which the relevant information must first be filtered out. Through the application of modern methods of machine learning and mathematical algorithms, this can be highly automated.

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Journal Article: Big Data in Innovation Management

ITONICS

How machine learning is revolutionizing the search for trends and technologies. Large amounts of data are available for this purpose, from which the relevant information must first be filtered out. Through the application of modern methods of machine learning and mathematical algorithms, this can be highly automated.

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Data-Driven Approaches Helping Public Sector with Sustainable Water Management

Acuvate

Industrial IIoT, in particular, in the form of sensors, flow meters, and edge devices, are being used to collect on-field data to create situational awareness and identify leaks, sewer overflows, and faulty equipment before these require costly repairs. How are sustainable technological solutions enabling Smart Water Management (SWM)?

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