21 results

$100 bill printing error: Over $110 billion unusable

New special paper doesn't go through a printer correctly. Sound familiar? It just happened to U.S. government presses printing 1.1 billion $100 bills.

December 7, 2010 by Andy Smith

Insight Platforms as a Service

Remember how we noted data is going the way of the cloud? While there are no signs of this slowing down, there's another interesting trend unraveling, the so-called Insight Platforms as a Service (IPaaS). The thinking behind this is simple: if your data is in the cloud anyway, why not use a platform that's also in the cloud to run analytics on them, and automate as much of the process as possible?

December 18, 2017 by George Anadiotis

Shoppers don't trust retailers

Why retailers need to take steps to earn shoppers' trust regarding their personal data

October 28, 2014 by Cisco Contributing Blogger / Paid Content

Reduce repetitive formatting for Access objects

If you find yourself constantly making formatting adjustments to Access objects on the fly, you're bogging yourself down unnecessarily. A couple of tricks can save you tons of time: Either change control defaults for a particular form or report or customize a form or report and turn it into a template.

May 7, 2007 by Susan Harkins

Facebook's data centers worldwide, by the numbers and in pictures

Grounded in open source and energy efficient designs, the world's largest social network shared its latest updates for cost and power savings attributed to its cutting-edge datacenters.

August 29, 2014 by Rachel King

The machine learning feedback loop

The pace of change is catalyzed and accelerated at large by data itself, in a self-fulfilling prophecy of sorts: data-driven product -> more data -> better insights -> more profit -> more investment -> better product -> more data. So while some are still struggling to deal with basic issues related to data collection and storage, governance, security, organizational culture, and skillset, others are more concerned with the higher end of the big data hierarchy of needs.

December 18, 2017 by George Anadiotis

Is everything a stream?

While this may seem like a theoretical construct, its implications can be far-reaching.

February 3, 2017 by George Anadiotis

Moving up the analytics stack

As descriptive and diagnostic analytics are getting commoditized, we are moving up the stack towards predictive and prescriptive analytics. Predictive analytics is about being able to forecast what's coming next based on what's happened so far, while prescriptive analytics is about taking the right course of action to make a desirable outcome happen.

December 18, 2017 by George Anadiotis

Tech which back-to-school students should avoid

These 10 bits of technology are for the back-to-school student to avoid at all cost. They're either pointless, economically unviable, or have a fatal flaw.

August 7, 2009 by Zack Whittaker

Streaming becomes mainstream

The endless streams of data generated by applications lends its name to this paradigm, but also brings some hard to deal with requirements to the table: How do you deal with querying semantics and implementation when your data is not finite, what kind of processing can you do on such data, and how do you combine it with data from other sources or feed it to your machine learning pipelines, and do this at production scale?

December 18, 2017 by George Anadiotis