Remove 2014 Remove Big Data Remove Marketing Remove Predictive Analytics
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Predictive Analytics Influences App Development For Emerging Markets

Smart Data Collective

The market for mobile apps is rising at an accelerated pace. According to analysts, the market for mobile apps is expected to reach $189 billion by the end of next year. As the market grows, a variety of new trends are beginning to take hold. At first glance, this sounds like a perfect recipe for success in those markets.

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IBM Emphasizes The Benefits Of Data Analytics For Renewable Energy

Smart Data Collective

Big data is playing a surprisingly important role in the evolution of renewable energy. IBM recently published a fascinating paper on the applications of big data for solar and other green energy sources. Other researchers around the world are also talking about the role of data analytics in this dynamic, growing field.

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Dresner’s Point: Ready for the “2014ization” of Business Intelligence?

Howard Dresner

What is your organization planning to try to achieve in 2014? Will it have legs in 2014, I asked? Here at Dresner Advisory Services we’ll publish a report on our first Wisdom of Crowds® Market Study on Location Intelligence in February 2014. I’d love to know what plans and aspirations your company has for 2014.

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Optimizing clinical trial site performance: A focus on three AI capabilities

IBM Big Data Hub

Despite advancements in the pharmaceutical industry and biomedical research, delivering drugs to market is still a complex process with tremendous opportunity for improvement. AI empowers real-time site performance monitoring and forecasting by automating data analysis, providing timely alerts and insights, and enabling predictive analytics.

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Euro Soccer Special: What Football Teaches Us About Analytics

Sisense

This is infused analytics at work: Wearable devices deliver data and insights directly to the coaches, enabling them to make decisions and transform teams’ performance without technical data expertise. These developments have added a whole new dimension to data analysis.

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Fear has Replaced Apathy as the Number One Enemy of Data

Jim Harris

Indeed, I can’t recall a single person who claimed high-quality data wasn’t important. This led me to conclude, by about 2000, that apathy was the number one enemy of data quality. An Ongoing Market Scan. As my interests expanded beyond quality, I expanded the scope of my scan to all things data. The Data D.