CIO

Ritesh Mohan Srivastava Takes Charge As Chief AI Officer At Jindal Steel Limited

Shreeti Verma

Jindal Steel Limited has onboarded Ritesh Mohan Shrivastava as its new Chief AI Officer, making a pivotal move to strengthen its presence in the AI landscape. Ritesh brings a wealth of experience in Data Science, Business Analytics, Decision Sciences, and Digital and Advanced Analytics. His expertise will enable him to drive the company’s AI-driven transformation while sustaining operational efficiency and product quality.

Ritesh took to the professional networking site LinkedIn to announce the appointment news and posted, “Honoured to join Jindal Steel as the Chief AI Officer, leading the AI transformation at one of India's leading steel and power conglomerates. My focus will be on enhancing operational efficiency, improving product quality, strengthening safety measures, and driving sustainability through AI-powered solutions.”

Showing prominence to his role, he further posted, “We are eager to collaborate with individuals, startups, and research institutions passionate about AI innovation in manufacturing. Let's connect and explore how we can work together to build a smarter, more sustainable future!”

Previously, Ritesh served as Chief Data Scientist at BharatPe, where he empowered the company to make data-driven decisions for growth. He has also held key leadership roles in various organizations, including IN44 Capital as an Advisory Board member, Novartis, and ITM Vocational University, Vadodara, as an External Industry Member - Board of Studies. Additionally, he led Advanced Analytics and Decision Sciences at Yatra Online Private Ltd and contributed to several other organizations, playing pivotal roles in their development.

With AI emerging as a crucial element in industrial innovation, his appointment underscores Jindal Steel Limited’s commitment to leveraging AI technology for smarter manufacturing processes and promoting sustainable industrial practices, positioning the company for enhanced operational efficiency and technological advancement in a competitive market landscape.

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