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Model Risk Management And the Role of Explainable Models(With Python Code)

Analytics Vidhya

The post Model Risk Management And the Role of Explainable Models(With Python Code) appeared first on Analytics Vidhya. This article was published as a part of the Data Science Blogathon. Photo by h heyerlein on Unsplash Introduction Similar to rule-based mathematical.

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Risk Management for AI Chatbots

O'Reilly on Data

Welcome to your company’s new AI risk management nightmare. Before you give up on your dreams of releasing an AI chatbot, remember: no risk, no reward. The core idea of risk management is that you don’t win by saying “no” to everything. So, what do you do? What Can You Do?

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Managing risk in machine learning

O'Reilly on Data

Model lifecycle management. The Future of Privacy Forum and Immuta recently released a report with some great suggestions on how one might approach machine learning projects with risk management in mind: When you’re working on a machine learning project, you need to employ a mix of data engineers, data scientists, and domain experts.

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AI coding agents come with legal risk

CIO Business Intelligence

AI coding agents are poised to take over a large chunk of software development in coming years, but the change will come with intellectual property legal risk, some lawyers say. This means the AI might spit out code that’s identical to proprietary code from its training data, which is a huge risk,” Badeev adds.

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ERM Program Fundamentals for Success in the Banking Industry

Speaker: William Hord, Senior VP of Risk & Professional Services

Enterprise Risk Management (ERM) is critical for industry growth in today’s fast-paced and ever-changing risk landscape. When building your ERM program foundation, you need to answer questions like: Do we have robust board and management support?

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Middle East tech leaders explore AI’s role in modern risk management

CIO Business Intelligence

In today’s fast-paced digital environment, enterprises increasingly leverage AI and analytics to strengthen their risk management strategies. A recent panel on the role of AI and analytics in risk management explored this transformational technology, focusing on how organizations can harness these tools for a more resilient future.

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Download the AI Risk Management Enterprise Spotlight

CIO Business Intelligence

In this issue, we explore the risks to both IT and the business from the use of AI. The goal of your risk management efforts should be to gain the most value from AI as a result.

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Everything You Need to Know About Crypto

Speaker: Ryan McInerny, CAMS, FRM, MSBA - Principal, Product Strategy

With 20% of Americans owning cryptocurrencies, speaking "fluent crypto" in the financial sector ensures you are prepared to discuss growth and risk management strategies when the topic arises. May 18th, 2023 at 9:30 am PDT, 12:30 pm EDT, 5:30 pm BST

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The Power of Storytelling in Risk Management

Speaker: Dr. Karen Hardy, CEO and Chief Risk Officer of Strategic Leadership Advisors LLC

Communication is a core component of a resilient organization's risk management framework. However, risk communication involves more than just reporting information and populating dashboards, and we may be limiting our skillset. Storytelling is the ability to express ideas and convey messages to others, including stakeholders.

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Successful Change Management with Enterprise Risk Management

Speaker: William Hord, Vice President of ERM Services

A well-defined change management process is critical to minimizing the impact that change has on your organization. Leveraging the data that your ERM program already contains is an effective way to help create and manage the overall change management process within your organization. Organize ERM strategy, operations, and data.