The importance of clean and sustainable energy solutions has become increasingly prominent in the oil and gas sector. Technology is an integral factor in enabling this transformation and artificial intelligence (AI) has emerged as a critical enabler. The implementation of AI can help companies optimize production, streamline operations, reduce waste, and enhance worker safety. Utilizing data analytics and predictive models through AI can significantly improve decision-making abilities, leading to increased efficiency and better outcomes overall. Applying AI across the entire energy value chain - from upstream exploration and production to midstream transportation and downstream refining and marketing - can drive significant value creation. Attend Gastech 2023 to explore these exciting opportunities and gain valuable insights from industry leaders, tech experts, and visionaries. Be a part of the global movement driving sustainable practices and innovation for a greener and healthier future. Don't miss this global event!
Join innovators, investors and energy professionals from different areas within the energy ecosystem will come together at the ADIPEC from 2-5 October in Abu Dhabi. At the nexus of different innovation and investment points, the conference will give you a view into latest techniques and creations representing tomorrow's energy to decarbonize and future-proof our energy system faster, together.
How is Asia using AI to help support mobility while driving down the environmental impact? Read about the issues and possible solutions where AI can help with both economic and environmental issues.
Automation is one way in which we can have human-centered Artificial Intelligence. It can relieve us from repetitive and mundane tasks so that we can make the most of our human skills and talents. That said, we may have to use those human skills and talents as a check on Artificial Intelligence and its outcomes, or perhaps to solve the problems that appear when we don't open the box. We can be said to have an Automation Bias, where we assume that technology just works.
What are your New Year's Resolutions for your Business Intelligence, Data Science and AI teams? Check out this post for recommendations on getting ahead for the New Year. I'll share some New Year Resolutions that I think Business Intelligence, Data Engineering, Artificial Intelligence and Data Science teams start doing from today.
Learn more about AI and its relationship with Data Mining. Given the interest in AI, is data mining relevant anymore?
Please help me with my postgrad business qualification by completing a survey on Ethical AI toolkits! Thank you so much for your help! I appreciate it very much. You are helping me to fulfil a lifetime ambition and I am grateful.
Azure ML can become a part of the data ecosystem in an organization, but this requires a mindshift from working with Business Intelligence to more advanced analytics. How can we can adopt a mindshift from Business Intelligence to advanced analytics using Azure ML? Although CRISP-DM is not perfect, the CRISP-DM framework offers a pathway for machine learning using AzureML.
Jen Stirrup highlights positives in the National AI strategy while considering areas that could impact your business.
The importance of Diversity and Inclusion in a world of AI and data privacy. This post illustrates some of the latest news from Apple, and what this means for big tech, diversity and inclusion, along with helpful guidelines to get started.
AI has become a key driver of digital innovation for enterprise digital and continuous transformation plans. How can it be adopted at scale?
Achieve innovative digital transformation with AI with a roadmap of useful advice for a successful Digital Transformation program.