Driving Big Data and AI Adoption in the Chemical Industry

SPEAKERS

Dr. Ashiff Khan Sr. Process Engineer - Khurais & Central Arabia, Saudi Aramco Company

ABOUT THE SESSION

Dr. Ashiff Khan, a Senior Process Engineer at Aramco with over 20 years of experience in the chemical industry, shared invaluable insights at the Oil & Gas Digital Transformation Conference 2023. With numerous U.S. patents in chemical engineering and big data/AI, as well as six post-graduate degrees and a PhD in big data/AI, Dr. Khan is a leading authority in his field. His session focused on the adoption of Big Data and Artificial Intelligence (AI) in the chemical industry, emphasizing how these technologies are transforming traditional practices. 
 

Dr. Khan's presentation revealed the findings of a study using surveys and mathematical methods to understand the role of technology in the chemical industry. The study concluded that leveraging data, closely monitoring processes, and investing in the right technological tools are crucial for success. While the chemical industry is in the early stages of adopting these technologies, Dr. Khan's insights suggest that the shift towards data-driven decision-making will foster greater innovation and success. His work contributes significantly to positioning the chemical industry as it embraces big data maturity, moving away from conventional methods toward more efficient, tech-driven practices. 
 

Key Topics: 
 

• The presentation followed a quantitative study using structural equation modeling, which provided scientific insights into the relationships between key variables. 

• The study established the importance of data scalability, process monitoring, and investing in the right tools for big data/AI adoption in the chemical industry. 

• Dr. Khan highlighted that the chemical industry is still in the early stages of big data maturity, with a need for continued adoption of these technologies. 

• The findings contribute to the Unified Theory of Acceptance and Use of Technology in the chemical industry, encouraging a shift toward data-driven decision-making. 
   

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