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Applications of Artificial Intelligence (AI) in business

hackerearth

Recent advances in AI have been helped by three factors: Access to big data generated from e-commerce, businesses, governments, science, wearables, and social media. Improvement in machine learning (ML) algorithms—due to the availability of large amounts of data. Knowledge: The ability to present knowledge about the world.

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Key Issues in Innovation Management – Revisited – Part 2

Tim Kastelle

Research confirms large companies as well as entrepreneurs to rate the importance of collaborative forms of innovation higher for the future. Further, the ROI (return on investment) of collaborative innovation was found to have been increasing recently. Even fewer are actually investing in them. (…).

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50 what-if questions to reimagine the future

Board of Innovation

What if you turned from B2C to B2B (or viceversa)? Smart assistants like Alexa (Amazon), Google Assistant (Google) or Siri (Apple) are the first mass-market examples of how voice interfaces could look like in the future. What if you turned from B2C to B2B (or viceversa)? What if you only had voice to interact with users?

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50 what-if questions to reimagine the future

Board of Innovation

What if you turned from B2C to B2B (or viceversa)? Smart assistants like Alexa (Amazon), Google Assistant (Google) or Siri (Apple) are the first mass-market examples of how voice interfaces could look like in the future. What if you turned from B2C to B2B (or viceversa)? What if you only had voice to interact with users?

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Key Innovation Issues for 2016 and Beyond

Integrative Innovation

These communities stimulate social engagement around the product through participation in forums, sharing, collaboration or even user-driven innovation by co-creating new products. Research confirms large companies as well as entrepreneurs to rate the importance of collaborative forms of innovation higher for the future.