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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. That doesn’t sound so bad, right? So, what do 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 133
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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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Bubble Wrap: How Eurovision Monitors Covid Risk at Events

CIO Business Intelligence

Knowing your risk level as you navigate a large venue can help you avoid crowds and stay safely within your bubble – all of which empowers you to enjoy the experience all the more. Live at Eurovision: a Bluetooth App to Navigate Covid Risk. A New Normal: Bubble-Up for Safety at Live Events with Flockey. So, how does it work?

Risk 98
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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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Managing risk in machine learning

O'Reilly on Data

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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Documenting and Managing Governance, Risk and Compliance with Business Process

erwin

Managing an organization’s governance, risk and compliance (GRC) via its enterprise and business architectures means managing them against business processes (BP). Governance, risk and compliance are treated as isolated bubbles. Data-related risks are not connected with the data architects/data scientists.

Risk 98
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Product-Led Onboarding: How to Turn New Users into Lifelong Customers

Speaker: Ramli John, Managing Director at ProductLed and Author

So, if their first date with your product is anything but silky-smooth, you risk losing out to the competition. In this interactive, fun presentation and Q&A, Ramli John, author of bestselling book Product-Led Onboarding, will share a simple but powerful framework to get more users to experience a product’s "Eureka!"