Remove 2019 Remove Innovation Remove Planning
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Top 10 Analytics Trends for 2019

Timo Elliott

2019 is the year that analytics technology starts delivering what users have been dreaming about for over forty years — easy, natural access to reliable business information. Cloud brings agility and faster innovation to analytics. Machine learning everywhere. Cloud analytics adoption skyrockets.

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8 Revolutionary Applications Examples of Machine Learning in Real-Life

Smart Data Collective

Machine learning (ML) is an innovative tool that advances technology in every industry around the world. Construction sites use technology in a multitude of ways, from communication to planning to equipment. As one of the most dangerous industries, there were 1,061 construction fatalities in 2019. Language Processing.

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Big Data Is The Core Of Your Audience Targeting Strategy

Smart Data Collective

Customers want innovative products and services to make their lives easier. Brands are using a host of innovative measures to get inside the heads of their target consumers. Developing and marketing an innovative product isn’t enough. Big data plays a very important role in digital marketing in 2019.

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Mike Cottmeyer at Innovate Virginia 2019

Leading Agile

What’s needed is a plan. A plan to do more than simply teach people Agile. Agile Transformation @ Innovate Virginia from LeadingAgile. Just because you have the roles, ceremonies, and artifacts of Scrum in place, doesn’t mean you’ll automatically begin reaping the benefits of Agile. Mike’s Deck.

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Top 10 Financial Mistakes That Can Be Resolved with AI

Smart Data Collective

AI can aid in budgeting, debt management, and retirement planning. With a focus on innovation and user-centric design, Nevly’s financial products, such as the ARLO app and Nevly Money, are designed to make managing your finances more accessible, efficient, and enjoyable.

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Big Data is Driving Key Changes for Malaysia’s Drug Regulators

Smart Data Collective

The European Medicines Agency reports that the EU actually developed a Big Data Task Force in 2019 , which was intended to identify various ways that drug regulators could better use big data to make sensible regulatory decisions. The first phase was to identify technology that could be useful.

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Mike Cottmeyer at Innovate Virginia 2019

Leading Agile

What’s needed is a plan. A plan to do more than simply teach people Agile. Doesn’t mean you’ll automatically begin reaping the benefits of Agile. So, what’s needed isn’t more Scrum, more XP, more SAFe.