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14 Predictions About The Future Of AI And VR Posted on : Dec 11 - 2018

These days, staying up to date on cutting-edge technologies is critical to company relevancy. For example, recent advances in artificial intelligence and virtual reality have made major waves in the way some businesses operate. The company that knows about new tech earlier has a better chance of staying ahead of the curve and its competitors.

As groundbreaking advances are made in the realms of AI and VR, many are speculating on how these technologies will reshape both everyday living and the way businesses operate. We asked 14 members of Forbes Technology Council to highlight the ways they foresee AI and VR technologies changing the world.

1. Enhanced Health Care

Artificial intelligence will change how medicine is developed, how diseases are diagnosed, and how medicine is prescribed and applied. To continue to speed this transformation we need greater availability of data, balanced regulation and public education, at a minimum. - Mohamad Zahreddine, TrialAssure

2. Custom Home Builds

I think these technologies can help us move past tract homes and find ways to build homes in a more customized, affordable way based on personal budgets and situations — that also may help us solve the housing crisis. - Jon Bradshaw, Calendar

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3. Better Training And Therapy

Virtual reality apps are already making great strides in the areas of training through more realistic simulations and therapy applications. If the promising results are any indicator, this will be an area to watch and a great example of tech directly improving our non-digital lives. - Matthew Wallace, Faction, Inc.

4. Revolutionized Education

Artificial intelligence and virtual reality combined will revolutionize education through immersive personalized learning. We’re already seeing this for specialized training, and over the next few decades, it will broaden to cover core K-18 and master’s level education. - Bret Piatt, Jungle Disk

5. More Accurate Predictive Modeling

Understanding why something has happened or will happen has been important in many disciplines. In the past, predictive modeling suffered from a lack of data and understanding of the dependencies of the data. With more information than ever being collected by companies, we can now apply AI techniques, specifically machine learning, and use a more holistic process to understand and predict events. - Chris Kirby, Retired View More