Blogging since 2005. Included among 180 leading data science, big data and analytics bloggers http://www.datasciencecentral.com/profiles/blogs/180-leading-data-science-big-data-and-analytics-bloggers
s data analytics become increasingly driven by artificial intelligence (AI), researchers search for a way to drive machine learning. The key ingredient its future development may be a dash of curiosity.
The maxim "Seeing is believing" is a driving force behind data visualization, as most of us respond well to graphs, charts and pleasing renderings of numbers. - See more at: http://www.baselinemag.com/blogs/data-visualization-you-must-c-it-to-believe-it.html#sthash.x4iIT5Xf.dpuf
The problem with human moderators is that they have human limitations that cannot keep up with a huge influx of comments. That was the problem the New York Times faced in balancing reader comments demand with an editorial standard of civility for all published comments. Its solution was a partnership with , an incubator owned by Google's parent company, Alphabet.
Software Helps a Nonprofit Bring Music to Patients
Public Cloud Helps Global Firm Grow Its Business
AI is changing our everyday interactions. What once required a human rep can now be handled by a virtual assistant whose programming allows customer problems to be solved more quickly.
AI Makes Visual Intelligence Possible - DMN
As big data continues to grow, extracting value from it calls for new tools. Increasingly, businesses that rely on data to drive decisions are applying AI to surface actionable insight quickly and accurately.
Finding innovative solutions to the problems raised in data analytics, particularly with respect to adapting machine learning to credit scores, is what they've been working on for the past six years at Experian's DataLabs. The EVP and Global Head of the labs, Eric Haller, spoke to All Analytic about the new direction for predictive modeling.
TeradataVoice: 2015: The Year Big Data Becomes Agil...
Recent developments in the anticipatory analytics space fuel a business solution Dun & Bradstreet refers to as "material change"—the ability to identify "the caterpillars that will turn into butterflies," Basu says.
Over the past decade and a half, successful web retailers have been able to tailor their marketing toward the individual consumer, providing a level of personalization all shoppers—both offline and on—have come to expect as standard across the industry.
Shoppers have come to expect the tailored marketing that algorithms can deliver to them when shopping online in physical stores. However, that kind of personalization is only possible with sales staff that knows the customer and the merchandise very well.
Engagement is what we’re all after, particularly when we publish online and hope to get likes, pluses, comments, and shares. When planning what to include in a piece intended to serve as content marketing consider: who, how, what, which, where, when, and why.
“Would you like fries with that?” That one-size-fits-all recommendation was about as far as upselling at the point of sale used to go. Starbucks has come a long way from that with marketing powered by data — and AI. It's marketing that is uniquely tailored to the behaviors, preferences, and context of each customer.