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The Top 5 Technology Trends That Will Drive Innovation in 2018

hackerearth

Innovation is never easy, and in today’s world where everything is becoming digital, innovation is technology first and quite complex. Over the years, the linear model of innovation has been tweaked to include these variations—the phase gate model (e.g. photo editing software), and technology push (e.g. Machine Learning.

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The Synergy Between GPT and Microsoft Power Platform: How AI and Low-Code Development are Revolutionizing Business Operations

Acuvate

Recent advancements in Generative AI and machine learning (ML) have enthralled enterprises and consumers alike, as we recently saw with the launch of GPT-4. Power Apps, Power Automate, Power BI, and Power Virtual Agents are all parts of the new Power Platform, which was released in 2018.

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Top 5 Myths About Data Analytics You Should Stop Believing

Acuvate

dollars by 2027, more than double its expected market size in 2018. While data analytics helps companies make informed decisions and gain a competitive edge, misconceptions surrounding it can hamper its impact. This gives companies the much needed competitive advantage in the market.

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Insights from the LES 2018 Annual Meeting

Yet2

Our team members Kim Ayers , Danny Soltan , and Bob Miller recently attended the LES 2018 Annual Meeting , which, conveniently, took place here in Boston. Have the contract state who will own any co-developed technology. Digital Health: The Intersection of Life Sciences and Technology. Learn more here. and Canada.

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New Study: 2018 State of Embedded Analytics Report

Why do some embedded analytics projects succeed while others fail? We surveyed 500+ application teams embedding analytics to find out which analytics features actually move the needle. Read the 6th annual State of Embedded Analytics Report to discover new best practices. Brought to you by Logi Analytics.

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How Chief Innovation Officer (CINO) may replace the traditional Chief Information Officer (CIO)

hackerearth

The 2018 Gartner CIO Agenda Survey demonstrates that technological innovation and digitalization are changing the way CIOs work. Technological advances necessitate CINO roles. When the Internet arrived 20 years ago, it necessitated roles such as the Chief Technology Officer (CTO) and Chief Information Officer (CIO).

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Will AI dramatically alter the economics of innovation?

Commodore Innovation

The hype surrounding artificial intelligence (AI) invites skepticism. But underlying the optimism (and fear) there’s a simple, but potentially important truth: AI, especially machine learning (deep learning in particular), could change the economics of innovation. Boston: Harvard Business Review Press. [3]