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.
Looking for help on your Analytics journey? Learn more about how Alteryx Inspire can help you on your Analytics Journey. Register Now for Inspire 2023
SAP Datasphere review. In this post, let's take a look at how SAP Datasphere can help to have a good solid data foundation to turn your data from a technical problem to a business opportunity.
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.
Leadership involves gratitude and humility, but what does this mean for results? My teams have helped me to learn to lead with gratitude and it's a lesson I will not forget.
Why do organizations get stuck with their data? It is such a fundamental question. Often, this problem can be due to the organization concentrating solely on technology and data. However, organizations can be supported by a synergistic approach by integrating systems thinking with the data strategy and technical perspective.
Is your data issue a business intelligence problem... or a change management issue? Can you distinguish these perspectives, or is it differing views on the same thing
Learn more about AI and its relationship with Data Mining. Given the interest in AI, is data mining relevant anymore?
Learn more about the metaverse and analytics, digital transformation, and business intelligence with my keynote at BI Innovation & Tech Fest on 26th- 27th September in-person + live-streamed, in Johannesburg.