The Future of Applied AI in 2024: Transforming Healthcare, Energy, and Supply Chain with Tangible Outcomes

In this contribute article, Nick King, CEO and Founder of Data Kinetic, believes that 2024 holds great promise for Applied AI as it integrates into various sectors, transforming manufacturing, healthcare, energy, and beyond. However, as we move forward in this AI-driven future, addressing concerns such as misleading marketing, complex interactions, the need for guardrails and transparency, and the importance of meaningful AI education is crucial.

How Predictive Maintenance is Cutting Back on Costs and Injuries for the Oil and Gas Industry

In this special guest feature, Peter Bernard, CEO, Datagration, discusses how oil and gas industry predictive maintenance doesn’t just provide an economic value, it also boosts safety by anticipating unpredicted failures amongst aging infrastructure in many rigs. By applying machine learning (ML) to pumps and compressors, operators can easily detect equipment failure before it happens, greatly reducing downtime and extending the lifespan of machinery. Maintenance strategies across upstream oil and gas require a smarter approach, and ML provides the answer.

insideBIGDATA Guide to Energy – Part 2

This special technology guide from Dell Technologies and AMD will take a closer look at some of the biggest disruptors affecting energy companies, and also examine how big data analytics can help these firms reduce risk, drive down costs, and improve efficiency. The energy industry has always faced large price swings as a result of changes in the global economy. But today, this entire sector is facing an unprecedented level of disruption. Industry analysts say it is in the throes of a dramatic upheaval that is requiring companies in this industry to reinvent themselves.

insideBIGDATA Guide to Energy

This special technology guide from Dell Technologies and AMD will take a closer look at some of the biggest disruptors affecting energy companies, and also examine how big data analytics can help these firms reduce risk, drive down costs, and improve efficiency. The energy industry has always faced large price swings as a result of changes in the global economy. But today, this entire sector is facing an unprecedented level of disruption. Industry analysts say it is in the throes of a dramatic upheaval that is requiring companies in this industry to reinvent themselves.

AI is Not a Magic Bullet for Renewables

In this special guest feature, Blair Heavey, Chief Executive Officer of WindESCo, suggests that we hear so much about how AI is the next big thing in the energy industry, but in reality, it’s really over-hyped, and is nowhere near the magic bullet that some thought it might be. Many rewewable energy companies are not meeting the expectations with AI, and there’s a lot of confusion on what it really is and what it can do.

Data Accuracy and Measurement Validity Hold the Key to the Future of Oil and Gas

In this special guest feature, Steve Cooper, Vice President of Data Management Solutions at Quorum Software, discusses the importance of data accuracy and measurement validity as these professionals are confronted with integrating the oilfield to the back office. Over the past several years, data volume in the oil and gas industry has grown exponentially through the advancement of information technology, but the next wave of innovation in the space will require streamlining data collection, storage and measurement across multiple sources in order for these companies to stay efficient and spend and save resources where they can.

How New Hardware Can Drastically Reduce the Power Consumption of Artificial Intelligence

In this contributed article, Diederik Verkest, Ph.D. from imec, points out that to make predictions, AI relies on the processing of large amounts of data, a process that takes a lot of energy. Imec develops solutions to drastically reduce that energy consumption. A new chip, in which these calculations are performed directly in the memory by means of analogue technology, is a major breakthrough in this field.

Why AI Is the Answer to Oil Spills

In this contributed article, tech blogger Caleb Danziger discusses how AI may be the solution to preventing and responding to disasters like oil spills. AI can help prevent these disasters and improve responses if they do occur.

What You Should Know About Big Data and Energy Consumption in 2020

In this contributed article, front end developer Gary Stevens suggests that the future of big data in the energy industry is bright. Reducing energy consumption is a win-win situation for both companies and consumers, lowering costs as well as limiting environmental impact.

Big Data and Its Role in the Waste and Recycling Industry

In this contributed article, freelance human Avery Phillips believes that the advent of big data is making the whole process of recycling and waste management much easier. In fact, big data has impacted many industrial and scientific realms in ways that benefit the environment. For example, it is regularly used to help scientists and land managers gain a better understanding of our changing environment and ways to combat climate change.