The COVID-19 outbreak is impacting all businesses globally. It’s impacting staff, contractors, and staffing levels; it’s impacting the supply chain; and it’s impacting processes. Despite companies having crisis management and business continuity plans, current decision-making tools and dashboards are not adequate for dealing with COVID-19-related decision-making given the geographic scale of the disruption. Established risk management methodologies and approaches tend to be static in nature and lead to models that are backward-looking.
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AI & ML Technology for Enabling Risk-Based Decision Making
Posted May 14, 2020 | Leadership | Technology |
About The Author
Michael Eiden is a Cutter Expert, Partner and Global Head of AI & ML at Arthur D. Little (ADL), and a member of the ADL’s AMP open consulting network. 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… Read More
Tom Teixeira is a Partner with Arthur D. Little (ADL), based in London. 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 reduction strategies, including insurance and captive management; and governance, risk, and compliance technology platforms. He… Read More
Craig Wylie is a Managing Partner at Arthur D. Little (ADL), based in Boston; and a member of ADL's global Healthcare & Life Sciences practice. His expertise is in the regulated functions of the life sciences industry, in particular, post-merger integration, R&D strategy and operations, inspection readiness, and findings remediation. Mr. Wylie's background is in R&D and quality operations, and he strongly believes that effective… Read More
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