Fireside Chat with Rolls-Royce

How Rolls-Royce democratized Data Analytics and AI

Available On-Demand

Manufacturing companies often need to deal with quality issues, scrap and rework in a timely manner to avoid cost and penalties. There are numerous hypotheses for root cause and insufficient time and resources to investigate them all. This results in long resolution time and often sub-optimal solutions. There is also a growing competitive need to reduce maintenance costs and downtime. Being able to predict when maintenance is required significantly improves cost, downtime and safety.

Empowering domain engineers with AI and Machine Learning can materially address many of these challenges while quickly and safely operationalize AI and accelerate data-driven decisioning. Manufacturers who operationalize and democratize AI capabilities stand to significantly increase revenue and profit performance and dominate their markets.

Join our fireside chat with Terence, Chief of Future Intelligence Technologies at Rolls-Royce on how they achieved significant multi-millions cost avoidance on their digital transformation journey through the development and use of their no-code engineer-friendly Smart Discovery AI Solution.

Key Highlights:

  • Demo of use cases such as reducing investigation turn-around time and time-to-decision through automated AI-based root cause analysis, hypothesis and insights generation
  • Use of advanced analytics without the need for coding or data science training to detect emerging trends faster and more accurately than traditional early-warning techniques
  • Challenges, watchouts and tips on navigating the digital transformation journey for manufacturers.

In collaboration with:

Rolls-Royce

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About the Experts

Terence Hung

Terence Hung
Chief of Future Intelligence Technologies
Rolls-Royce

Terence is the Chief of Future Intelligence Technologies at Rolls-Royce. He leads a team to develop new Artificial Intelligence capabilities to transform the way they do engineering and improve the quality of their services and products. He also co-directs the AI-based programme at the Rolls-Royce@NTU corporate laboratory.

He has 27 years of R&D and technology management experiences in diverse computational and digital fields, with an established track record in formulating, championing and executing new concepts/programmes. Terence was invited to consult and advise in various government, industry and academia programmes. He served on the Business of Data Advisory Board, Microsoft’s international Technical Computing Executive Advisory Council, Singapore’s National Cloud Computing Advisory Council, and the National Supercomputing Centre Steering Committee.  

Suraj Kamath

Suraj Kamath
APAC Director Industry Consulting, Manufacturing Solutions
SAS

Suraj leads the Manufacturing Industry Practice for SAS APAC, providing leadership guidance to industries across manufacturing, utilities, smart cities and others.

With over 15 years of experience across precision engineering, semiconductor manufacturing and industrial 3D printing, Suraj has enabled companies and customers to improve process control, increase yield, reduce waste, optimize pricing and product mix and develop successful business strategy. Drawing on learnings from high-volume, high-mix manufacturing environments, he is passionate about helping customers leverage Advanced Analytics, AI and IoT to improve service, quality, performance and cost.

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