AI Articles and Analysis about Risk management

Risk management is the identification, assessment, and prioritization of risks (defined in ISO 31000 as the effect of uncertainty on objectives) followed by coordinated and economical application of resources to minimize, monitor, and control the probability and/or impact of unfortunate events or to maximize the realization of opportunities.", "uri": "https://en.wikipedia.org/wiki/Risk_management

Tackling Chargeback Challenges at Scale with Machine Learning and Dynamic Arguments-min

Tackling Chargeback Challenges at Scale with Machine Learning and Dynamic Arguments – with Roenen Ben-Ami at Justt

This interview analysis is sponsored by Justt and was written, edited, and published in alignment with our Emerj sponsored content guidelines. Learn more about our thought leadership and content creation services on our Emerj Media Services page.

AI Regulation and Risk Management in 2024-min

AI Regulation and Risk Management in 2024 – with Micheal Berger of Munich Re

As AI adoption grows, so do the associated risks, including errors, biases, and unexpected outcomes. However, as AI becomes more integral to core business operations, managing operational and financial risks becomes paramount. One way to offset that risk is to ensure AI models. However, that can be difficult to achieve as the process is complex. 

Navigating
Global Procurement Challenges in Shipping

Navigating Global Procurement Challenges in Shipping – with Paulo Ruy of A.P. Moller – Maersk

Faced with challenges surrounding growing geopolitical tensions, the global shipping and procurement industry is grappling with unprecedented challenges that are reshaping traditional logistics frameworks. 

Driving Partnerships and Prioritization Strategies for AI in Financial Services-1-min

Driving Partnerships and Prioritization Strategies for AI in Financial Services – with Julie Winkler of CME Group

Where new, emerging capabilities in AI mean new opportunities for financial institutions – especially those that operate financial exchanges, where data and predictive analytics are paramount – the palpable risk of failure in AI adoption initiatives can prove a significant hurdle. 

AI Opportunities for
Life Sciences R&D-1

AI Opportunities for Life Sciences R&D – with Andrew Bolt of Deloitte

This interview analysis is sponsored by Deloitte and was written, edited, and published in alignment with our Emerj sponsored content guidelines. Learn more about our thought leadership and content creation services on our Emerj Media Services page.

02 – Streamlining Data-Driven Decision-Making in Customer Experiences
for Financial Services@1x-min

Streamlining Data-Driven Decision-Making in Customer Experiences for Financial Services – with Ciprian Porutiu of Marsh McLennan and Mike Borrelli of Uniphore

This interview analysis is sponsored by Uniphore and was written, edited, and published in alignment with our Emerj sponsored content guidelines. Learn more about our thought leadership and content creation services on our Emerj Media Services page.

The Implications of Generative AI on Investment Banking – v.1

The Implications of Generative AI on Investment Banking – with Andrea Haskell and Val Srinivas of Deloitte

This interview analysis is sponsored by Deloitte and was written, edited, and published in alignment with our Emerj sponsored content guidelines. Learn more about our thought leadership and content creation services on our Emerj Media Services page.

The Future of Customer Interactions in Financial Services

The Future of Customer Interactions in Financial Services – with Ivan Edwards of Cadence Bank and John Thomas of Uniphore

This interview analysis is sponsored by Uniphore and was written, edited and published in alignment with our Emerj sponsored content guidelines. Learn more about our thought leadership and content creation services on our Emerj Media Services page.

Risk management

Risk management is the identification, assessment, and prioritization of risks (defined in ISO 31000 as the effect of uncertainty on objectives) followed by coordinated and economical application of resources to minimize, monitor, and control the probability and/or impact of unfortunate events or to maximize the realization of opportunities.", "uri": "https://en.wikipedia.org/wiki/Risk_management