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.
In order to deliver deeper insight, organizations must be able to leverage and integrate the growing amounts and different types of data together to reveal different perspectives and so, get closer to the “truth." Transactional, freeform, sentiment, clickstream data and more help create a richer
When people say about some found object, "don't touch it, you don't know where it's been," they might as well being speaking of data. You can't use any data with confidence until you ascertain where it came from, who handled it and what they did with it.
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