Blogs

InsightOut: Multispeed IT drives fast business experiments and empowered citizen analysts

InsightOut: Multispeed IT drives fast business experiments and empowered citizen analysts

February 4, 2016 | by Tim Vincent, IBM Fellow and VP, CTO for Information & Analytics Group, IBM
Disruptive innovations such as big data, machine learning, cognitive computing and cloud-based services are presenting analytics professionals with rapid transformation that impacts business. As a result, organizations are adopting new best practices for data analysis processes. Dig into this first...
Big data analytics adds new market plays for the video game industry

Big data analytics adds new market plays for the video game industry

January 27, 2016 | by Andrew Popp, Portfolio Marketing, Hadoop/BigInsights, IBM Analytics
In the highly competitive video game industry, keeping players engaged and loyal is crucial in capturing a major share of this lucrative market. Doing so involves using big data analytics to harness innovation and understand what players expect.
Insight: Finding the wow-factor in your data

Insight: Finding the wow-factor in your data

January 21, 2016 | by Paula Wiles Sigmon, Program Director, Analytics Platform Marketing, IBM
When looking for course-changing insight, connecting the dots of information can range from meticulous exercises to bursts of inspiration. However this wow-factor insight may be derived, it can take organizations and industries on a new trajectory characterizing the dawn of an era in which...
The Australian Open: Serving up streaming analytics in the cloud

The Australian Open: Serving up streaming analytics in the cloud

January 8, 2016 | by Kimberly Madia, Worldwide Product Marketing Manager, InfoSphere Streams, IBM
Just as today’s businesses need to speed operations and cut costs, the same goals hold true for major sporting events such as the Australian Open Tennis Championships. To help make the Australian Open 2016 event the ultimate experience for online fans and the fans in attendance, see how the IBM...
Spark and big data discovery: An evolutionary perspective

Spark and big data discovery: An evolutionary perspective

January 4, 2016 | by Peter Schlampp, Vice President of Product, Platfora
Today, more than ever, businesses need to put the ability to analyze data into the hands of business analysts, data scientists, stakeholders and decision makers. Take an evolutionary look at how Apache Spark and big data discovery are just beginning to open up a diverse and powerful set of...

How to manage your database like a water supplier

December 30, 2015 | by Andrew Popp, Portfolio Marketing, Hadoop/BigInsights, IBM Analytics
Data engineers have much to learn from water management professionals, who have mastered the art of keeping filtered water on tap—ready at a moment’s notice. As information volumes begin to deluge data repositories and outpace traditional approaches, data professionals must use every tool at their...

Big data predictions and reflections

What was in 2015 and will be in 2016

December 29, 2015 | by Bernard Marr, Best-Selling Author, Keynote Speaker and Leading Business and Data Expert
Last year I made a few predictions about what would come to pass in the big data landscape in 2015. How close was I? Let’s revisit some of my 2015 predictions to see if they came to fruition and whether there were any surprises.
Why appliance power matters in data warehousing

Why appliance power matters in data warehousing

December 28, 2015 | by David Birmingham, Senior Principal Consultant, Brightlight Business Analytics, a division of Sirius Computer Solutions
Dealing with slow technology is a major concern for anyone who needs quick access to analytic insights. For this reason, it’s vital to have a data warehouse appliance with sufficient speed that allows all users to make the most of its analytic power.
HealthToon: Turning big data into better care for patient populations

HealthToon: Turning big data into better care for patient populations

December 22, 2015 | by Oliver Clark, Social Media Specialist for Public Sector, IBM
Check out this month's HealthToon to find out how Carolinas HealthCare System is taking steps to use big data to better care for patient populations.
The quick reference guide to technologies and applications for stream computing

The quick reference guide to technologies and applications for stream computing

December 18, 2015 | by Kimberly Madia, Worldwide Product Marketing Manager, InfoSphere Streams, IBM
Stream computing combines data streams with an increasingly broad range of applications designed to help businesses solve problems of all kinds. Learn more about how you can capture data streams and infuse them into your applications.

Pages