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The characteristics of data-driven business model development and how to succeed

The BMI Lab Blog

To start, we need to detail what a data-driven business model actually is. Therefore, data-driven business models can be understood as those models in which digitized data - in various degrees of processing - offers the central added value for customers or consumers. Don’t forget to scale and measure your model correctly!

Data 52
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Artificial creativity (A.C.): Can a computer be creative? It’s scarily close

Idea to Value

In 2013, I wrote a breakthrough article on the nascent examples of computers beginning to generate ideas in a way similar to human creativity. The big upcoming leaps come from research into how machines can emulate the human thought process. Big data, predictions and instant experimentation.

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7 Things Every CEO Should Know About Their Patents

Anaqua

This concrete example from May 2012, when Google acquired Motorola, illustrates the challenge in the communicated value of “intangible assets” (where patents and trademarks reside in the Balance Sheet): Google Balance Sheet, intangible assets (in millions): End of 2013 $6,066. End of 2012 $7,473. End of 2011 $1,578.

Roadmap 40
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How China Creates the Strongest Innovation System

The BMI Lab Blog

The majority of venture capital investment is in digital technologies such as big data, artificial intelligence (AI) and financial technology companies. DJI has an open platform for developers building new hardware and software for drones in several fields such as farming, forestry, public buildings, etc.

System 58
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Key Innovation Issues for 2016 and Beyond

Integrative Innovation

Hence, I gave it some thought, starting by revisting an earlier reflection: Beginning of 2013, Tim Kastelle and I identified four key issues in innovation management for the time to come. Indeed, BCG research shows that big data leaders generate 12 percent higher revenues than those who do not experiment with big data.

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The Innovation-Driven Disruption of the Automotive Value Chain (Part 2)

Corporate Innovation

2013 R&D spend (in US$B). While investing heavily in R&D, automotive OEMs had not been investing in technologies and business models that are now used by newcomers to disrupt them (software, big data, user experience, additive manufacturing/materials, energy storage, sharing economy, direct to consumer).

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The Innovation-Driven Disruption of the Automotive Value Chain (Part 2)

Corporate Innovation

2013 R&D spend (in US$B). While investing heavily in R&D, automotive OEMs had not been investing in technologies and business models that are now used by newcomers to disrupt them (software, big data, user experience, additive manufacturing/materials, energy storage, sharing economy, direct to consumer).