Remove 2018 Remove Big Data Remove Collaboration Remove Software Review
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What is Innovation Software?

eZassi

What is Innovation Software? Innovation Software Helps Businesses Cultivate and Implement Innovation — Faster. Innovation software is a fairly recent development that was made possible by the rise in popularity of both cloud computing and social sharing platforms. How is Innovation Software Used? Idea Capture.

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The Future of Corporate-Startup Collaboration

The Inovo Group

Collaboration can no longer be viewed as an optional extra, it’s a strategic imperative. The collaboration between large corporations and startups is more important today than ever, and the trend will continue. Both types of entities are realizing the advantages that can come from collaborating with their counterpart.

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7 Habits of Highly Innovative Companies

ITONICS

Even though it took 7 months for the founders to persuade Bosch leadership that their vision is doable, the startup developed a software with machine learning and analytics integrated within the networks of the retailer and the IoT application. Often, it’s due to the speed at which they can innovate and this has a lot to do with their size.

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Daniel Burrus’ Top 20 Technology-Driven Hard Trends Shaping 2018 and Beyond

Daniel Burrus

3 Big Data and the Use of High-Speed Data Analytics. Big data” is a term that describes the technologies and techniques used to capture and utilize exponentially increasing streams of data. Separating good data from bad data will also become a rapidly growing service. #4

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Key Innovation Issues for 2016 and Beyond

Integrative Innovation

IDC predicts that by 2018 more than 50 percent of large enterprises – and more than 80 percent of firms with advanced digital transformation strategies – will create and/or partner with platforms. Further, the ROI (return on investment) of collaborative innovation was found to have been increasing recently.

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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. Manufacturing. Conclusion.

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3 New Year’s Resolutions Every IP Portfolio Manager Should Make for 2018

Anaqua

As the planning and budgeting for 2018 kicks into gear, Intellectual Property (IP) managers can reflect on the highs and lows of the past year and more importantly, prepare for a successful new year. Below are three resolutions that that IP portfolio managers should consider for 2018 to help them devise a high-impact IP and business strategy.