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Digital Twin Use Races Ahead at McLaren Group

CIO Business Intelligence

billion by 2030. Predictive analytics can foretell a breakdown before it happens. The digital twins at McLaren are also used to run simulations for the design of new parts and then to test them for performance and reliability before they are manufactured and installed in the racing cars. A Competitive Differentiator.

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

IBM Big Data Hub

A recent study by Price Waterhouse Cooper (PwC) estimates that by 2030, artificial intelligence (AI) will generate more than USD 15 trillion for the global economy and boost local economies by as much as 26%. (1) 1) But what about AI’s potential specifically in the field of marketing?

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Conversational AI use cases for enterprises

IBM Big Data Hub

Predictive analytics integrates with NLP, ML and DL to enhance decision-making capabilities, extract insights, and use historical data to forecast future behavior, preferences and trends. ML and DL lie at the core of predictive analytics, enabling models to learn from data, identify patterns and make predictions about future events.

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The benefits of AI in healthcare

IBM Big Data Hub

According to Statista , the artificial intelligence (AI) healthcare market, valued at $11 billion in 2021, is projected to be worth $187 billion in 2030. In some cases, AI reduces the need to test potential drug compounds physically, which is an enormous cost-savings. How does artificial intelligence benefit healthcare?

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4 Ways AI Can Improve Your Marketing Strategy

Smart Data Collective

From 2020 to 2030, the growth of these roles will be a minimum of 10%. Make Market Research a Breeze Not doing your homework and expecting to ace the test is usually futile. Predict Emerging Trends AI isn’t exactly a crystal ball. Known as predictive analytics, it’s one of AI’s most powerful capabilities.

Marketing 104
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How Gilead used Amazon Redshift to quickly and cost-effectively load third-party medical claims data

AWS Big Data

Because Gilead is expanding into biologics and large molecule therapies, and has an ambitious goal of launching 10 innovative therapies by 2030, there is heavy emphasis on using data with AI and machine learning (ML) to accelerate the drug discovery pipeline.