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The Future of Data Startups in Europe and how to shape a European Data Economy – ”We should get rid of all the fear to use data”

etventure

Deep Learning) require access to huge amounts of data to reach their full potential. Many countries globally have recognized that the handling and processing of these large data sets depend heavily on the agile innovation engines of our economies – the startups.

Data 52
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Why digital transformation will drive business model innovation

Jeffrey Phillips

Blockchain and IoT provide greater oversight into where components are made and sourced, and big data helps identify cost issues, leading to more pressure on the supply chain. Supply Chain During all of this transition to autonomous vehicles or ride services, digital transformation is also changing the supply chain.

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5 Digital Transformation Use Cases for the Government and Public Sector

Acuvate

In today’s highly disruptive and digital-driven world, governments and public sector institutions at all levels are leveraging newfound opportunities to use data and emerging technologies to empower citizens and build more transparent, efficient, agile, and cost-effective services and programs. The result?

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The backdrop of digital transformation and its consequences

Paul Hobcraft

The report offered a selection of key visuals and overviews from 14 reports, which in turn were shortlisted from an original data set of 140 reports on the topic, ones published over the course of the last few years, that from my research, I found the most valuable. We need to become comfortable in the analytics of big data.

Report 168
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How Digital Transformation is revolutionizing consumer brand relationship

mjvinnovation

Organizations need to make use of technologies that provide more agility and accessibility to the user, generating an experience that meets their needs while allowing them to create new preferences, which are aligned with the organizational culture of their business. But what is the role of companies in this context?

Agile 40
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4 Ways to Amplify Digital Innovation in 2018

Gregg Fraley

AI, Analytics, IoT, Big Data, Cloud, Mobile, Social Media, Sensors, Robotics, Augmented Reality, Voice Recognition… and the list goes on. So, get alignment, broaden the team, get education, and do concept blends. Why is this challenge so different from previous innovation challenges? It’s daunting.

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Key Innovation Issues for 2016 and Beyond

Integrative Innovation

Operating in unpredictable environments relies on an agile organization , following an adaptive, evolutionary and more bottom-up approach, resembling complex adaptive systems, e.g. in biology. Indeed, BCG research shows that big data leaders generate 12 percent higher revenues than those who do not experiment with big data.