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Risk-Driven Operational Planning

Posted May 21, 2020 in Business Technology & Digital Transformation Strategies
AI-ML risk
Now is the time for risk managers to focus on real-time analytics and proactive loss prevention, rather than administering risk systems related to operational processes. Here, Craig Wylie looks at how to use the AI/ML technology in practice; the capabilities that need to be in place; best practices for communicating risk and risk mitigation strategies; how to avoid “crying wolf”; rebalancing globalism and outsourcing.
About The Author
Craig Wylie
Craig Wylie is a Senior Consultant with Cutter Consortium and a partner at Arthur D. Little. His expertise is in the epcific regulated functions of the life sciences industry, and in particular post-merger integration, R&D strategy and operations, inspection readiness and findings remediation. His background is in R&D and Quality Operations and he strongly believes that effective management of functions such as quality, regulatory,… Read More
Tom Teixeira
Tom Teixeira is a Senior Consultant with Cutter Consortium and an Arthur D. Little Partner. He has more than 20 years’ risk management experience, both in senior consulting and operational roles. Mr. Teixeira’s key areas of expertise include risk-based strategic planning and forecasting; risk analysis and quantification; total cost of risk (TCOR) reduction strategies, including insurance and captive management; and governance, risk, and… Read More
Carl Bate
Carl Bate is a Senior Consultant with Cutter's Business Technology & Digital Transformation Strategies practice. He is also Partner of Arthur D. Little (ADL), co-founder and co-leader for ADL's Digital Problem Solving Practice, and Global Lead for ADL Digital Health.  Based in London and New York, Mr. Bate specializes in intractable problem solving using tech innovation. Mr. Bate has cross-industry experience with a focus in digital health… Read More
Michael Eiden
Michael Eiden is a Senior Consultant with Cutter Consortium's Data Analytics & Digital Technologies practice. Dr. Eiden is an expert in machine learning (ML) and artificial intelligence (AI) with more than 15 years' experience across different industrial sectors. He has designed, implemented, and productionized ML/AI solutions for applications in medical diagnostics, pharma, biodefense, and consumer electronics. Dr. Eiden brings along deep… Read More
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