Blogs

Jen Q. Public: Predict criminal activity and effectively investigate crime

Jen Q. Public: Predict criminal activity and effectively investigate crime

April 24, 2015 | by Natasha Bishop, Big Data Strategy lead, IBM
In the first edition of Jen Q. Public, Jen enjoys a quiet, safe evening at home thanks to predictive analytics and intelligent policing.
Machine-milled insights and the limits of algorithmic automation in cognitive computing

Machine-milled insights and the limits of algorithmic automation in cognitive computing

April 23, 2015 | by James Kobielus, Big Data Evangelist, IBM
Machine learning is a tool for making humans more productive. Machine learning methods vary in degrees of automation. Regardless of how one performs machine learning, data scientists must still prepare the data sets, specify the algorithms, execute them and interpret the results. The process of...
Digital data transfer is transforming the auto industry

Digital data transfer is transforming the auto industry

April 23, 2015 | by Ben Stanley, Global Automotive Lead, IBM
The "Automotive 2025: Industry without borders" study talks about new types of digital data that drivers will control, enabling them to transfer personal data, preferences and configurations between vehicles. 78 percent of the executives we interviewed expect that this will be available within a...
Why partner with a business leader in data warehousing

Why partner with a business leader in data warehousing

April 23, 2015 | by Wendy Lucas, Program Director for Data Warehouse Marketing, IBM
Regardless of your specific DW requirements, it’s as important as ever to partner with a vendor that has the proven breadth and depth of solutions to fit each of these needs. Gartner cites IBM’s “broad offering and integration across products that can support all four major data warehouse use cases...
5 ways to leverage telematics for insurance

5 ways to leverage telematics for insurance

April 21, 2015 | by Kimberly Trimble, Social Business Manager, IBM
The Internet of Things is providing organizations with new opportunities to expand their business offerings, grow and retain valuable customers, and improve existing processes to increase efficiency and reduce costs. With an estimated 24 billion connected devices by 2020, the Internet of Things...
From connected to self-enabling vehicles: What's next in automotive

From connected to self-enabling vehicles: What's next in automotive

April 21, 2015 | by Kal Gyimesi, Automotive Marketing Leader, IBM Analytics
Cars and trucks are readily joining the connected world faster than we can keep up with new features. The more capabilities brought into the marketplace, the more confusion there may be for consumers. The next innovation hurdle will be to flip the paradigm and free consumers by making vehicles self...
The Internet of Things rocks the Museum of Natural History

The Internet of Things rocks the Museum of Natural History

April 16, 2015 | by Bret Greenstein, Vice President, Internet of Things Continuous Engineering & Asset Management Solutions, IBM
IBM hosted a signature moment event at the American Museum of Natural History in New York City on April 9, 2015. The event showcased some exciting announcements around the Internet of Things solutions and was received very favorably by all in attendance.
How the Open Data Platform is driving Hadoop's maturation

How the Open Data Platform is driving Hadoop's maturation

April 14, 2015 | by Joel Horwitz, Director of Marketing for IBM Big Data & Analytics, IBM
The time has come for the analytics industry to work together to harden the Hadoop platform with a shared vision and foundation to build on to move forward. Open standards that are common to all solution providers are a path in the right direction. Enter the Open Data Platform (ODP) group of Hadoop...
How to get started with data governance

How to get started with data governance

April 13, 2015 | by Paula Wiles Sigmon, Program Director for InfoSphere Portfolio Marketing
Among all the data-related opportunities and concerns of this year, one that is demanding increased attention is information governance. Governance is a concern because the growing business appetite for insights puts pressure on systems to deliver data rapidly, whether it is well-governed or not....
Bad data need not apply

Bad data need not apply

April 10, 2015 | by Paula Wiles Sigmon, Program Director for InfoSphere Portfolio Marketing
In an environment where lack of trust is common, the data warehouse challenge is not just finding the best warehouse technology, but also determining how to create a warehouse that instills confidence among the business users who receive the output of analysis.

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