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How to Use Big Data For Improving Driver Safety

Acuvate

This goal seems achievable with massive advancements in automotive technology and big data. Today, one of the biggest use cases of big data and advanced analytics in the automobile and transport industry is to leverage data to improve the safety of vehicles and on the road. Microsoft Azure Data Factory.

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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. Let’s me outline the technological advances which will lead to the breakthroughs, and then see my predictions of jobs robots will soon steal from creative people: 1.

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The Life Sciences Industry: Decision Making from Batch to Continuum

IdeaScale

Technology is also playing spoilsport to the breakthrough party. Digital capabilities and big data is transforming everything from discovery to commercialization. PWC in its 18 th global CEO survey reports that 50% of Pharma CEOs were concerned about the speed of technological change, up from 32% in the previous year.

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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).

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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. Galler Business Model Navigator, München: Hanser, 2013. [2]

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Information Architecture’s Teenage Dilemma

Boxes and Arrows

Consider, for example, the proliferation of: Big data and open machine readable datasets (e.g. DATA.gov , and AWS Public Data Sets ). Mobile devices and technologies. For me, the highlight of the 2013 IA Summit occurred before the opening keynote. Responsive web design in its various approaches and permutations.