Blogs

Predictive forecasting for the cognitive era

Predictive forecasting for the cognitive era

April 29, 2016 | by Ted Fischer, Senior Offering Manager, SPSS Modeler, IBM
Business professionals need answers to critical questions that bolster the accuracy of predictive forecasting. And forecasting is a vital approach for a number of business measures including product demand, revenue, sales and more. Discover why predictive forecasting is essential for any line of...
What is Spark?

What is Spark?

Making the complex simple

April 29, 2016 | by Mike Ferguson, Managing Director of Intelligent Business Strategies Limited, Intelligent Business Strategies Limited
Spark just seems to be getting big play everywhere in the technology arena. What is Spark? And do you need it? Get a good glimpse into its in-memory execution capabilities, some of its key components, its integrations and its availability as a service.
Internet of Things data access and the fear of the unknown

Internet of Things data access and the fear of the unknown

April 29, 2016 | by Krish Krishnan, President, Sixth Sense Advisors Inc.
Evolving Internet of Things technology is paving the way for ongoing innovation—from smart thermostats and smart cars to other smart devices—through continuous access to its data streams. And while ongoing access to that data inspires the magic behind Internet of Things solutions, it also offers an...
Spark: The operating system for big data analytics

Spark: The operating system for big data analytics

April 29, 2016 | by Max Seiden, Lead Spark Engineer, Platfora
Spark’s momentum is building, and it is rapidly emerging as the central technology in analytics ecosystems within organizations. See why Spark’s technical advancements around iterative processing combined with its easy overall environment and tool set for developers make it a true operating system...
Airlines can increase customer satisfaction and operational efficiency with big data

Airlines can increase customer satisfaction and operational efficiency with big data

April 28, 2016 | by Jennifer Goforth Gregory, Technical Writer
Nobody likes to be delayed or have their travel plans disrupted. By using data analtyics, airlines can detect potential operational problems before an issue actually occurs and reduce disruptions.
Personalized governing: Understanding and empowering residents with the help of data analytics

Personalized governing: Understanding and empowering residents with the help of data analytics

April 28, 2016 | by Lavanya Rathnam, Technology Writer
Governments are increasingly moving away from a one-size-fits-all model toward more personalized governing, where public services are tailored to meet the needs of residents. This type of governance is built on a firm understanding of citizens' needs, information that is best gathered directly.
Elevating the consumer experience with social media analytics and retail data

Elevating the consumer experience with social media analytics and retail data

April 28, 2016 | by Valerie Moloney, Social Business Manager, IBM
Social media has taken the retail industry on an extraordinary, tangential path for gaining a deeper understanding of the consumer. See what several big data experts have to say about the impact social media data and analysis of customer conversations have on the consumer experience.
Hadoop your way to a hybrid cloud

Hadoop your way to a hybrid cloud

Taking data warehousing to the hybrid cloud

April 28, 2016 | by Rohan Vaidyanathan, Senior Product Manager, Cloud Data Services, IBM
In the past few years, we’ve seen an explosion in the number and variety of organizations that are adopting big data technologies such as Hadoop and Spark and the recent trend to leverage data services in the cloud. How are enterprises coping?
Bringing the simplicity of the app store to enterprise IT and analytics

Bringing the simplicity of the app store to enterprise IT and analytics

April 27, 2016 | by Jonathan Entwistle, Big Data Platform Sales and Engineering, IBM
Does enterprise IT in the government sector need to be so complex? Maybe not. Find out how advancements in cloud computing, open data initiatives and valuable lessons learned from smartphones and the app store model can transform analytics workloads in enterprise IT for government agencies.
Graph databases catch electronic con artists in the act

Graph databases catch electronic con artists in the act

April 27, 2016 | by Larry Weber, Program Director, Digital Experience, IBM
Graph database technology powered by open source initiatives is helping fraud detection units catch intruders in the act of breaching data security. Tune in for an enlightening discussion of how modern approaches to analytics are bringing descriptive and predictive analytics together to help stop...

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