Under the patronage of His Highness Sheikh Mohamed Bin Zayed Al Nahyan, President of the United Arab Emirates

تحت رعاية صاحب السمو الشيخ محمد بن زايد آل نهيان، رئيس دولة الامارات العربية المتحدة

Supported by

Srikanth V

Consulting Director, Middle East & Africa

Honeywell

Srikanth
Srikanth

Srikanth is responsible for leading the Solutions Consulting team, overseeing sales and support for Software technology & services in Middle East & Africa, within the Connected Industrials business of Honeywell. With a career spanning over three decades, Srikanth’s expertise encompasses Consulting, Sales, Project Management, Engineering, and Operations, with a particular focus on oil & gas, refining, and petrochemical sectors. Srikanth earned his degree in Chemical Engineering in India. Throughout his career, Srikanth has received several internal and international recognitions in the different organizations that he has worked for. Prior to his tenure at Honeywell, Srikanth held leadership roles at Samsung Engineering and the Indian Petrochemicals Corporation Ltd. in India focused on operations and engineering. In his presentation at the Digitalization Innovation session, Srikanth will provide an overview of Digital Twin technology that encompasses the ecosystem of assets and process to drive overall operational efficiency. Through a use case, he will present how multiple digital twin technologies can collaborate and provide intelligent insights to ensure safe, reliable and optimized operations.

Session Overview
Wednesday, 6 November
12:00
Digitalisation & Technology Conference Digitalisation & Technology Theatre 12:00 - 12:30
View Session
From the control room to the board room: the role of digital twins to enable data driven decision making

Digital twin technology - a combination of technologies that replicates a physical asset in a virtual model and then uses data to analyse and support decision making - is enabling energy companies to improve asset performance and business impact. Combined with the emergence of AI and machine learning, digital twin technology allows businesses to assess their power plants, transmission lines, distribution networks, and other assets to optimise performance through predictive maintenance and production optimisation. But companies must overcome barriers to implementation including aging infrastructure, data standardisation and management, upfront investment concerns and more.

Attendee insights:

Learn through case studies and demonstrations how digital twin technology can be used to overcome challenges when it comes to implementing pre-emptive physical asset monitoring.

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