TechLines is our signature, live-streamed event where we assemble a panel of industry experts to debate and share their opinions on IT's most pressing issues.
Our most recent event, "Big Data Debunked – Finding the Data Signals," was held on October 4, 2012 in New York City. Watch the discussion here.
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Steve Mills, IBM's senior vice president in charge of software and systems, said most companies are thinking vertical applications with their big data pilots.
Data architects and marketers will take psychology patterns and unleash the algorithms to create influence engineering, a new sales generating discipline.
Ford's Michael Cavaretta explains how machine-to-machine communications and the Internet of Things will combine with Big Data to provide some big benefits for business.
Sears is consolidating its analytics and big data infrastructure and going open source as much as possible. Teradata is sticking around at the retailer.
Aside from a few detours into storage, the actual infrastructure underneath big data applications is often overlooked. It shouldn't be.
Here's a look at the big data lessons learned in the field from a bevy of technology execs.
Costs matter, but being nimble is the big selling point behind a Sears move to open source. As a CIO priority, agility is high on the to-do list for 2013.
We rounded up industry experts, talked big data then procured big beverages. Here are five things that you missed.
Facebook has hit the saturation point. What the company does with those 1 billion users---and all the data they cough up every second---will be far more important than landing the next billion people.
Industry consortium TechAmerica Foundation delivers its report on what government is doing with Big Data, and what it should do going forward.
The talent shortage in big data is a hot topic among technology leaders. Data scientists can call their career shots.
Join us here on Oct. 4 for a live-streamed panel discussion on big data.
At a panel discussion in Manhattan, we learn that BI, Hadoop, NoSQL and Data Analytics companies look at the same issues and technologies, sometimes through very different lenses.