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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? I’ll share some ideas for mitigation.

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To understand the risks posed by AI, follow the money

O'Reilly on Data

It’s difficult to argue with David Collingridge’s influential thesis that attempting to predict the risks posed by new technologies is a fool’s errand. However, there is one class of AI risk that is generally knowable in advance. It is a predictable economic risk.

Risk 288
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Hands-On Introduction to creditR: An Amazing R Package to Enhance Credit Risk Scoring and Validation

Analytics Vidhya

One of the biggest industries to be impacted – finance. The post Hands-On Introduction to creditR: An Amazing R Package to Enhance Credit Risk Scoring and Validation appeared first on Analytics Vidhya. Introduction Machine learning is disrupting multiple and diverse industries right now. Functions like fraud.

Risk 264
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12 Cloud Computing Risks & Challenges Businesses Are Facing In These Days

datapine

More and more CRM, marketing, and finance-related tools use SaaS business intelligence and technology, and even Adobe’s Creative Suite has adopted the model. This increases the risks that can arise during the implementation or management process. The next part of our cloud computing risks list involves costs.

Risk 237
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Should finance organizations bank on Generative AI?

CIO Business Intelligence

Financial organizations want to capture generative AI’s tremendous potential while mitigating its risks. In the finance and banking industry, however, organizations are seeking extra guidance on the best way forward. In the numerically based finance and banking industry, does generative AI have as much application potential?

Finance 133
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Infor’s Velocity Summit Highlights Multiple Advances and Enhancements

David Menninger's Analyst Perspectives

The results can be used to uncover the source of bottlenecks, delays, unseen risks and unnecessary workloads that, in turn, allows organizations to institute improvements. Typically, finance and accounting departments have proven to be technology laggards in adopting new methods. The average expected spend for 2024 is 3.7%

Finance 130
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AI Helps Mitigate These 5 Major Supplier Risks

Smart Data Collective

Companies are using AI to better understand their customers, recognize ways to manage finances more efficiently and tackle other issues. AI is particularly helpful with managing risks. How AI Can Help Suppliers Manage Risks Better. Failure or Delay Risk. Brand Reputation Risk.

Risk 144