Jason Howard

Jason Howard

Vice President, Planning NOV

Jason Howard , currently serving as Vice President, Demand Planning at NOV, brings a rare combination of hands-on industrial expertise and sophisticated technological acumen. He is a distinguished business leader with a career in global planning, supply chain optimization, and technological implementation. He oversees global demand, forecast, and inventory planning, leveraging advanced tools and analytics for strategic decision making.

His expertise was honed through planning leadership positions at Honeywell (Industrial Automation), Textron (Bell Helicopter), United Technologies (Sikorsky Aircraft), Elbit (EFW), and the U.S. Marine Corps (1st Marine Aircraft Wing). He holds a bachelor degree in Computer Science from Illinois Institute of Technology and a Masters of Business Administration from the University of Dallas in addition to multiple industry certifications.

Jason leads teams that bridge gaps between complex technical capabilities and core business planning strategy. He advances planning through optimization simulation, process automation, strategic planning democratization, process digitization, and machine-learning models. He has led multiple global manufacturing operations through critical enterprise resource planning system implementations coupled with strategic planning process transformations.

His work as a thought leader in simplifying and advancing strategic planning has been featured at the Kinexions global supply chain planning conference, the "Big Ideas in Supply Chain" global conference, Supply & Demand Chain Executive Top Projects Awards, and the Aerospace and Defense SAP Industry Forum. His freelance work employs artificial intelligence to enhance analysis of historical texts for genealogical research, language learning, and open source projects.

AI in Energy Week Day Two - March 3, 2027

4:10 PM The Next Frontier of AI in Energy: From Machine Learning to Quantum Computing

As AI continues to move from experimentation into measurable business impact, what comes next for energy operations? This session will explore the evolution from traditional forecasting and machine learning to emerging technologies such as quantum computing, drawing on real-world experience of where ML is already delivering tangible operational and financial value and what could come next through quantum forecasting, optimisation and advanced computing.

Session Takeaways:
• Where machine learning is delivering measurable value today, particularly across forecasting and optimisation 
• What emerging approaches such as quantum forecasting and optimisation could unlock next 
• Separating the practical potential of quantum computing from the current hype and limitations 
• How energy companies can prepare now through better data, algorithms and operational capabilities 
• What the next generation of AI and advanced computing could mean for operational decision-making

Check out the incredible speaker line-up to see who will be joining Jason.

Download The Latest Agenda