At a recent event in Grapevine, TX two of the top analysts from Gartner, Inc. (Kurt Schlegel and Debra Logan) gave a keynote address on Machine Learning, Robotic Process Automation, and Artificial Intelligence. These three disciplines, once separate, are now converging to deliver remarkable efficiency gains, but equally remarkable insight and business value.
In the minds of industry executives, there’s no doubt that big data can be a powerful resource for predicting what content will succeed, and even for creating new content that has the attributes for success baked in. But all companies involved in making, selling, and promoting movie and TV content face a similar conundrum as they seek to combine new sources of data with primary research: how to harvest the unprecedented volume and richness of consumer data while separating out the noise, and how to use the insights to make content more compelling, reach desired audiences, and ultimately contribute to profitability?
Analytics have been important to sports at least since the first coach timed players in the hundred-yard dash, but …
Because new business models to support innovation need good data.
Data governance is always a challenge; in this new world it has if anything grown even more difficult as the volume and variety of data grow.
“It was just awful,” said David Clothier, treasurer of the Knoxville, Tenn., company, which operates more than 500 Pilot Flying J truck stops nationwide. “There were humans everywhere.”
While there is still a long way to go in securing the breach, the breach is no longer an obscure or taboo issue.
Since publication of the first Sears catalog in the late 19th century, marketers have used personal data to connect with customers and enhance communications. Much of the information collected and stored in those early days came from government records like census and homeowner data. However, the eventual proliferation of computers and the internet led to…
The predictive power of data analytics is as frightening as it is incredible, according to Dave da Silva, a senior data scientist working on the Capgemini UK Data Science team. In his most recent article on the Capgemini blog, da Silva discusses the implications in terms of ethics. “This article is not a witch-hunt seeking…
For many organizations struggling to find value in data, the answer may lie in machine learning.