Blogs

How Spark is tuning up the logical data warehouse

July 21, 2015 | by James Kobielus, Big Data Evangelist, IBM
Apache Spark will become a core technology in the logical data warehouse (LDW), and its sweet spot is as the workbench of choice for data scientists who interactively and iteratively explore, build and tune statistical models for machine learning, graph and streaming analytics.
Answers to your questions about becoming a digital business

Answers to your questions about becoming a digital business

July 20, 2015 | by Louis Cherian, Digital Marketing Manager, Big Data & Analytics, IBM
How do you define a digital business? We organized a recent CrowdChat to discuss advantages, disadvantages, infrastructure needs, analytics, security and other key concerns for digital business. The participants, who included industry experts, also talked about how organizations need to change to...
Measuring the artificial intelligence quotient

Measuring the artificial intelligence quotient

July 9, 2015 | by James Kobielus, Big Data Evangelist, IBM
If we’re going to do the Turing Test right, we might as well use the same intelligence tests we apply to humans. Only by doing so will we ever have a sound basis for claiming that machine are more (or less) intelligent than people.
The new world of digital business

The new world of digital business

July 6, 2015 | by Mark Simmonds, Senior Product Marketing Manager, IBM
The digital business of tomorrow is a lot closer than you think—in fact, it’s already here and it’s beckoning you to take a closer look and see the wonders it has to offer.
Applying the big data and analytics maturity model for a competitive advantage

Applying the big data and analytics maturity model for a competitive advantage

July 6, 2015 | by Niall Betteridge, Executive IT Architect, IBM
Speed of insight is the most valuable characteristic for business competitiveness. However, the pace at which new technologies such as the Internet of Things and cognitive computing are being introduced poses further challenges to an enterprise’s ability to quickly accommodate and make use of new...
Success factors for a digital business

Success factors for a digital business

July 1, 2015 | by Jonathan Sloan, Business Analytics Executive Consultant, IBM
As opposed to big data, which focuses on analysis of large and varied types of content, the concept behind digital business is the convergence of historical, real-time and mobile proximity data that offer fleeting digital business moments that can be taken advantage of by a digital business. This...
Spark and Hadoop: Taking big data to the next level

Spark and Hadoop: Taking big data to the next level

June 30, 2015 | by Peter Schlampp, Vice President of Product, Platfora
Spark is one of the key enablers of Hadoop’s journey from the Trough of Disillusionment to the Plateau of Productivity. Together, Spark and Hadoop are taking big data to the next level.
But what if I don’t want to become a digital business?

But what if I don’t want to become a digital business?

June 29, 2015 | by Paul DiMarzio, Worldwide Portfolio Marketing Manager, IBM z Systems Big Data and Analytics, IBM
Face it. Competing digital businesses are very likely coming to your industry. Why resist the digital business model? Consider an incremental transition and change your mindset.
Developing the big data and analytics maturity model

Developing the big data and analytics maturity model

June 29, 2015 | by Niall Betteridge, Executive IT Architect, IBM
The big data and analytics maturity model gives business-driven enterprises a framework for a flexible, coherent approach to big data and analytics. See what drives the evolution of this model to offer organizations insight through a real-time, actionable context.
Do digital business, big data and the Internet of Things play well together?

Do digital business, big data and the Internet of Things play well together?

June 24, 2015 | by Mark Simmonds, Senior Product Marketing Manager, IBM
Two years ago, everything was big data—nothing else mattered. And big data was and today still is the foundation for a successful business analytics strategy. Without data, you have no analytics. But with big data, you have the potential for great analytics. Why? Because big data is all types of...

Pages