Big data and analytics coverage

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Devices are talking in the era of big data: Are you ready?

May 1, 2014 | by Anita Chung, Program Director - Digital and Social Media Strategy, Database Software and Systems, IBM
The Internet of Things (IoT) has paved the way for new business opportunities and new client experiences that transform our experience in many ways. Read on to explore how you can leverage the IoT for informed decision making and local analytics by connecting the unconnected. .

IBM Cloud Marketplace: Empowering the modern business

May 1, 2014 | by Larry Weber, Program Director, Digital Experience, IBM
IBM announced a number of new cloud offerings with the IBM Cloud Marketplace at the center. It is designed to be an easy access, technical marketplace for all users (business through IT and development) to access solutions and technologies on demand, with a growing number in the big data and...

What IBM’s Bluemix means to big data and analytics

May 1, 2014 | by Larry Weber, Program Director, Digital Experience, IBM
IBM’s recent addition of big data and analytic services into Bluemix will empower today’s application developer with an unmatched pool of resources. It will drastically reduce the time and cost for developers to get an analytical application off the ground and open new doors for immediate trial.

Cloudy with a high probability of BLU

April 30, 2014 | by Susan Visser, Social Lead for IBM Analytics - Financial Services Sector, IBM
It’s powerful, fast, agile, simple and affordable for everyone; It’s BLU Acceleration for Cloud. Still in beta, BLU is continually being enhanced with fixes and new features. This week at IBM Impact 2014 we heard much about BLU for Cloud, including its positioning in BlueMix, added features and...

The interconnectedness of things

April 30, 2014 | by Tina Groves, Product Strategist, IBM Business Intelligence, IBM
What does the Internet of Things really mean, both conceptually and technically? Tina Groves shares her point-of-view about how the Internet of Things is really about the Interconnectedness of Things and delivering a new set of expectations about the power of the individual.

Give your application an unfair advantage

April 30, 2014 | by Kimberly Madia, Manager of Portfolio Strategy, IBM
New big data services announced at IBM Impact Impact 2014 is full of news, and there are still two more days to go! Being a veteran of Impact, I have seen an evolution in smarter business processes and decision management over the years, but 2014 stands out as a year of substantive announcements....

Real-time Actionable Insight and the Internet of Things

April 30, 2014 | by Matt Carter, Social Media Strategy Lead - Information Management, IBM
If day one at IBM Impact centered on the Composable Business, day two seems to have focused on one of its key enabling components: Real-time Actionable Insight.  Yesterday, IBM SVP Robert Leblanc declared, “companies today need to treat cloud as a growth engine, reinvent their mobile experiences...

Business users want the cloud: Enter BlueInsight

April 29, 2014 | by John Hagerty, Program Director, Category Marketing Big Data & Analytics, IBM
With business outcomes front and center, emboldened decision makers want data and analytics systems that are fast, easy and smart. New cloud-based initiative BlueInsight aims to deliver on that promise to business and knowledge workers, unleashing them to pursue what they do best—taking action...

Is your infrastructure designed for big data?

April 29, 2014 | by Kelsey Howarth, Social Business Manager, IBM Power Systems, IBM
Learn why infrastructure matters more than ever before The statistics are staggering. We are creating 2.3 trillion gigabytes of data per day, and by 2015 we’ll generate 40 times that amount. With every data point comes opportunity, but businesses must first understand how to transform their IT...

The big deal about InfoSphere BigInsights v3.0 is Big SQL

April 29, 2014 | by Tina Groves, Product Strategist, IBM Business Intelligence, IBM
IBM® InfoSphere BigInsights upcoming release includes Big SQL 3.0, bringing performance, security and improved ROI to Hadoop projects. This is an important leap forward to seamlessly transitioning analytic applications from relational database management systems (RDBMS) to Hadoop distributions. In...