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Risk Management for AI Chatbots

O'Reilly on Data

Doing so means giving the general public a freeform text box for interacting with your AI model. 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. Why not take the extra time to test for problems? What Can You Do?

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CIOs weigh where to place AI bets — and how to de-risk them

CIO Business Intelligence

There are a lot of risks and a lot of land mines to navigate,” says the analyst. Coming to grips with risk The first step in making any bet — or investment — is to understand your ability to withstand risk. The opportunity is too big. According to IDC , core IT spending for AI will grow from $235.6 billion in 2024 to $521.0

Risk 131
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Move Beyond Excel, PowerPoint And Static Business Reporting with Powerful Interactive Dashboards

datapine

Visualizing the data and interacting on a single screen is no longer a luxury but a business necessity. That’s why we welcome you to the world of interactive dashboards. But before we delve into the bits and pieces of our topic, let’s answer the basic questions: What is an interactive dashboard, and why you need one?

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AI Can Help with Secure Quality Assurance Testing

Smart Data Collective

The process of ensuring that your product or software is of the best quality for your clients is referred to as quality assurance testing or QA testing. Performing Quality Assurance Testing with a Security Approach. AI Can Improve Manual Testing in Addition to Automated Testing.

Testing 85
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Put Your Data to Work: The Complete Playbook

An interactive guide filled with the tools to turn your data into a competitive advantage. From search engines to navigation systems, data is used to fuel products, manage risk, inform business strategy, create competitive analysis reports, provide direct marketing services, and much more.

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The risks and limitations of AI in insurance

IBM Big Data Hub

In my previous post , I described the different capabilities of both discriminative and generative AI, and sketched a world of opportunities where AI changes the way that insurers and insured would interact. Technological risk—data confidentiality The chief technological risk is the matter of data confidentiality.

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Preliminary Thoughts on the White House Executive Order on AI

O'Reilly on Data

adversarial testing to determine a model’s flaws and weak points), and not a wider range of information that would help to address many of the other concerns outlined in the EO. Like other internet-available services, AI models are not static artifacts, but dynamic systems that interact with their users. Operational Metrics.