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Bubble Wrap: How Eurovision Monitors Covid Risk at Events

CIO Business Intelligence

While pandemic-driven digital transformation has enabled the media and entertainment industry to stream awesome content 24/7 – digital technology is also safeguarding visitors, performing artist, and crew at the Eurovision Song Contest by monitoring their Covid-19 exposure levels in real time. So, how does it work?

Risk 98
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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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How Data and Smart Technology Are Helping Hospitalists

Smart Data Collective

Fortunately, big data and smart technology are helping hospitalists overcome these issues. Here are some fascinating ways data and smart technology are helping hospitalists. Big data and smart technology are helping hospitalists improve billing accuracy in many ways. First, this innovative technology reduces the risk of errors.

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How to use foundation models and trusted governance to manage AI workflow risk

IBM Big Data Hub

As more businesses use AI systems and the technology continues to mature and change, improper use could expose a company to significant financial, operational, regulatory and reputational risks. It encompasses risk management and regulatory compliance and guides how AI is managed within an organization.

Risk 73
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The AI cat and mouse game has begun

CIO Business Intelligence

To counter AI-generated threats, CIOs and CISOs must deploy AI-based defensive measures. AI-based identity management and access control technologies are essential for enhancing cybersecurity measures. No AI-based deepfake technology was used in these attacks.

Finance 122
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AI in marketing: How to leverage this powerful new technology for your next campaign

IBM Big Data Hub

From customized content creation to task automation and data analysis, AI has seemingly endless applications when it comes to marketing, but also some potential risks. Today, AI technologies are being used more widely than ever to generate content, improve customer experiences and deliver more accurate results. What is AI marketing?

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Building Smarter Financial Services: The Role of Semantic Technologies, Knowledge Graphs and Generative AI

Ontotext

So, this is a big driver for the outcome because when you are saving money for the business, you can measure it and see its value. Nimit Mehta : You are talking about the three big ones: cost, revenue, and risk. And, when you get to the top, it’s about risks and existential threats to the business. They are the best.”