Think it, try it and build it with IBM Bluemix, a cloud-based developer sandbox for big data and data management services. Bluemix makes agile mobile and web app development with best of breed capabilities a reality.
Insight 2014, formerly Information On Demand, will bring more than 13,000 business and IT professionals together to exchange ideas and share experiences around harnessing the data coming from all directions in real time. Industry pundits, peers and thought leaders will connect the dots between big
Wearable devices are becoming central to the modern lifestyle. These new devices will be among the first places where users originate personal data. They will also become the ultimate membrane where people consume the big data-driven personalized guidance being delivered from the cloud. In the
What makes customers tick? Why do they buy, how do they prefer to shop and, the big question, why do they switch? These are all important questions that every organization faces. Understanding the socially connected customer (having a 360 degree view) makes it possible to provide a truly
Consider this quote from the recent “Improving Government Performance in the Era of Big Data: Opportunities and Challenges for Federal Agencies Workshop” at Georgetown University: “The seduction of big data is that it allows you to do things that you could not do in the past.”
The question is,
Conversational fluency is fundamental to consumer adoption of personal adviser applications of cognitive computing. IBM's cognitive-computing platform, Watson, drives harmonious conversations in multichannel customer environments. Conversational engagement is fundamental to Watson realizing its
This infographic touches on five critical steps that will help customers streamline their application infrastructure, reduce infrastructure costs and transform enterprise data into a trusted, high-value resource by successfully consolidating and retiring their applications.
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Real-world experimentation of a very personal and hyper-analytical nature is what the quantified-self (QS) movement is all about. QS practitioners are playing with approaches that behavioral scientists have traditionally applied to third-party subjects within controlled laboratory experiments. The
Many make out the data scientist to be a Renaissance woman or man who can single-handedly elevate the organization’s analytics savvy. However, preparing students for corporate roles in data science means training them for many positions on a team. At Arizona State University, we work closely with
Today’s data-driven organization is faced with magnified urgency around data volume, user needs and compressed decision time frames. In order to address these challenges while maintaining an effective analytical environment, many organizations are exploring cloud-based environments coupled with
By collecting data from all sources across the enterprise, including machine data, businesses can get deeper insight into customer behavior to personalize their experience.
Big Data & Analytics Heroes
Kelly CarriganVice President, Data Warehouse and Infrastructure, Catalina Marketing
"Every day we’re able to personalize the consumer’s path to a purchase through mobile, online and in-store networks, including doing real-time scoring of a shopping basket at the supermarket checkout," says Kelly Carrigan, VP of data warehouse and infrastructure at Catalina Marketing, and this week
With the growth of big data and analytics comes additional responsibilities to ensure privacy. Privacy engineering are the tools, use case scenarios and measures to insure that privacy has been designed into your solutions and operational practices.