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Key Challenges Data Scientists Face in Machine Learning projects

Acuvate

10 Key Challenges Data Scientists Face in Machine Learning projects AI-driven, powered by AI, transforming with AI/ML, etc., Everyone is chasing after the promised land of machine learning but so few fully understand it. And that is […].

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Big data is dead – a throwback to Data Natives Conference

etventure

At the Data Natives Conference in Berlin for three days it was all about data, technologies and innovation: 4 stages, more than 100 speakers and around 1,600 visitors. In his speech “Big Data is dead” he explained how companies can generate real added value from their data. 5 Facts on Data Thinking.

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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. From a risk management perspective, this needs oversight.

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The future interplays between design thinking, technology and AI

Paul Hobcraft

This shift has prompted innovation to develop tools and design approaches that support these changes in several critical ways based on four global aspects: Learning from real-time data : Traditional analytics models and past performance data may not be entirely relevant in today’s ever-changing business landscape.

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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. It leverages reliable, high-quality data to augment asset performance.

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Top 5 Myths About Data Analytics You Should Stop Believing

Acuvate

Data Analytics in Business. According to Stastia , the global big data market is forecasted to grow to 103 billion U.S. While data analytics helps companies make informed decisions and gain a competitive edge, misconceptions surrounding it can hamper its impact. Myth 2: Data Analytics is extremely expensive.

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Smart Factory 101 A Data, AI, Cloud and Workforce Revolution in the Making

Acuvate

As with previous years, smart factory solutions are projected to contribute. With the help of IoT, equipment, devices, and systems may exchange and monitor data in real time through improved connectivity. Data, of course, plays a critical role in smart factory success because, without it, most outcomes will not be possible.

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