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6 Remarkable Applications of AI in the Oil & Gas Industry

Acuvate

The Oil and Gas (O&G) industry, though seemingly one of the most lucrative to work with, has been battling several challenges in the last few years. According to research, the global artificial intelligence in the O&G sector will be worth $3,669.8Mn by 2027 , growing at a CAGR of 10.81% between 2022 and 2027.

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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. Microsoft Azure Data Factory.

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How Big Data And AI Are Aiding The Fight Against Pandemics

Acuvate

What offers solace though is the fact that we are now in possession of powerful data analytics tools and AI technology that helps us surveil an outbreak, predict its spread and in turn minimise its impact. This raw data is then analyzed with machine learning algorithms to identify patterns and trends.

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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. AI will impact every industry and every human being.

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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. AI will impact every industry and every human being.

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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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The What, Why and How of Feature Engineering

Acuvate

The What, Why and How of Feature engineering Artificial intelligence and machine learning have pervaded every industry, yielding substantial returns to those invested in them. While machine learning involves training […].