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Artificial Intelligence: Disruption or Opportunity?

Daniel Burrus

Artificial intelligence (AI), one of twenty core technologies I identified back in 1983 as the drivers of exponential economic value creation, has worked its way into our lives. IBM’s Watson is a good example of a fast-developing AI system. Watson is a cognitive computer that learns over time.

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Exponential Change in 2022: Five Industries to Watch

Daniel Burrus

For example, Amazon and other online retailers have already started successful drone delivery systems in certain parts of the world, and this is a growing Hard Trend that will only accelerate. Travel Planning. Enter: The coronavirus pandemic, leveling all travel with restrictions and closures. Remote Working. Cybersecurity.

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How Can You Manage a Nonprofit Internationally With Innovative Technology?

IdeaScale

But with the rise of new technology, many emerging markets (China, South Africa, Singapore, India, and South Korea, for example) are all hungry for new services that could be provided by small businesses. Artificial Intelligence. There are numerous examples of nonprofits campaigns involving AR. Internet of Things.

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Insurtech: what it is, examples and how to seize opportunities

mjvinnovation

Quite in line with what we already know from the Digital Transformation concept, the Insurtech phenomenon is grounded by Big Data, Artificial Intelligence (AI) and the Internet of Things (IoT) – most of the capital invested goes into these areas. That’s Insurtech too. Brazilian Insurtechs. Minuto Seguros.

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Why collaboration is crucial for the future of work

Wazoku

Our ability to create and innovate means it’s easy to see how the fourth industrial revolution is a powerful catalyst for disruptive business models. Cyber-physical systems, the Internet of Things and cloud computing are not only driving industry advancement, they’re also driving technological convergence.

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Augmentation and Client Embedding: The Disruption of the Consultancy Industry

Innovation 360

A good example involves the set of combinatorial optimization problems, commonly known as the “traveling salesman” problem. They pull data from billions of connected devices across the Internet of Things (IoT). Picture a salesman who must visit a dozens of cities and then return home.

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Augmentation and Client Embedding: The Disruption of the Consultancy Industry

Innovation 360 Group

A good example involves the set of combinatorial optimization problems, commonly known as the “traveling salesman” problem. They pull data from billions of connected devices across the Internet of Things (IoT). Picture a salesman who must visit a dozens of cities and then return home.