Reach the who’s who of the power and chemical process industries, get the most return on your investment, and gain contacts to drive sales and increase profits.
Why Sponsor?
The Connected Plant Conference is the ONLY event covering digital transformation/digitalization for the power and chemical process industries. Get in front of the leaders you need to see!
Manufacturing AI & Advanced Analytics, Albemarle Corporation
Manufacturing AI & Advanced Analytics Albemarle Corporation
Jonathan Alexander is the Manufacturing AI & Advanced Analytics Manager within Albemarle’s global Manufacturing Excellence team. He has held a variety of roles within Manufacturing, including working within both Maintenance & Operations for both the Hydroprocessing Catalyst Plant in Bayport, TX and the Aluminum Alkyl plants in Pasadena, TX, along with leading a site’s Technology Implementation for Competitive Advantage (TICA) program. In his current global role, he has been focused on powering the potential of people by scaling AI (Albemarle Intelligence) and changing Albemarle’s culture around Manufacturing Data Analytics, an integral part of their journey towards Digital Transformation. Mr. Alexander holds a Bachelor of Science in Electrical Engineering from Louisiana State University and a Masters in Business Administration from The University of Houston in Clear Lake.
Former – Product Management Lead – Google Quantum AI, Engineer and Entrepreneur
Alan Ho, Former – Product Management Lead – Google Quantum AI, Engineer, and Entrepreneur
Keynote presentation on Quantum Computing: Going beyond the Buzzwords
Christian Gogolin, Quantum Computing Expert @Covestro R&D | Quantum Information Scientist and Software Developer | Founder Quantum Journal, Covestro
AmoghBhonde
Vice President, Digital Solutions Business Siemens Energy
AmoghBhonde
Vice President, Digital Solutions Business, Siemens Energy
Why Attend?
100% of respondents said the networking events met or exceeded their expectations.
Attendees left with actionable information and strategies to maximize the use of data, analytics, and related technology to drive efficiency improvements, preventative and predictive maintenance programs, and staff safety