Remove B2C Remove Collaboration Remove Data Remove Software Review
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My 5 S for future Innovation: Smart, Stacks, Scale, Storage, and Software

Paul Hobcraft

Recently, I got caught up in some announcement by Siemens, where they announced the acquisition of Mendix, the Low-Code providers, for the explicit purpose to combine Mendix with Siemens MindSphere, claiming it has the potential to cover off all elements of the Smart App Stack. That got my attention.

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Qmarkets and OmniStrada Partner to Empower Asian Businesses with Continuous Improvement Culture & Capabilities

Qmarkets

Qmarkets’ innovation management software facilitates idea generation, evaluation and implementation, collaboration, and data analysis. About OmniStrada OmniStrada is a boutique digital consultancy based in Singapore, advising B2C and B2B businesses across Asia. But it doesn’t have to be so hard.

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Why you should care about the Creativity Era

Innovation 360 Group

New customer mind-set, power of influencing other buyers’ opinion and higher expectations , easily communicated through social medias or other channels (TripAdvisor or Booking.com and their respective customer reviews are perfect examples of this revolution in B2C activities).

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You Are Being Digitally Disrupted – Do Something About It

The Inovo Group

In other words, an AI could be involved in every situation where large volumes of data are used to make complex decisions. Computers today process large volumes of data very quickly according to preset instructions. The amount and type of data being generated has reached a tipping point. These are primarily B2C companies (e.g.,

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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.

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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. Data security. Source: McKinsey. Healthcare.