Data Scientists

Why is analyzing text so hard?

September 30, 2014
How can we take documents, email or social media (and beyond) to show what they represent? Read More

Why is big data talked about so much?

September 29, 2014
Big data presents a tremendous opportunity to alter the ways we think and do business. Hadoop, analytics and other technologies will be front and center at this year’s Strata/Hadoop World event in NYC on October 15 through 17 and we will be there to discuss text analytics, Hadoop use cases, SQL-on-Hadoop, machine learning and much more. Will you join us? Read More

Data science's limitations in addressing global warming

September 25, 2014
Global climate data is massive, diverse and often internally inconsistent. Researchers who attempt to use data science to understand, predict and control global warming find themselves challenged by methodological limitations that frustrate their attempts to fathom this sprawling mosaic. Chief issues include historically thin sources, rampant auto-correlations and heterogeneous data provenance. Tackling global warming requires a harmonious balance between theory-driven domain science and data-driven statistical analysis. Read More

Putting data to work for everyone in your organization

September 19, 2014
It seems that everyone these days is interested in big data: using more data, more quickly and making better decisions from it. How does your company interact with data? Or, more specifically, how do business users interact with data? Read More

Connecting the Internet of Things and the Informix Warehouse Accelerator

September 18, 2014
The Internet of Things (IoT) continues to gain momentum as organizations explore the opportunities and challenges around connecting the unconnected—from people, to devices and everything in between. These efforts will also significantly expand the volume of captured data. Learn how you can securely combine structured, unstructured, TimeSeries, spatial and other sensor data from the Internet of Things into a single source of intelligence with the Informix Warehouse Accelerator. Read More

Engaging the insurance consumer

September 15, 2014
I've spent more years than I want to admit on the business side of the insurance industry. In my current role I work on the value that big data and analytics can deliver to an insurer and, in turn, to their policyholders.  Read More

Transforming the telecommunications industry with customer centricity

September 11, 2014
With mobile devices becoming an integral part of our daily lives, communications service providers have the most comprehensive view of a subscriber’s usage, behavior, lifestyle preferences, current and future needs. Telecommunications organizations can transform their customer care, marketing and network operations by leveraging all of the subscriber data to deliver highly targeted and personalized campaigns for higher revenue and profits, cultivate strong brand loyalty to reduce churn and achieve lower operational costs while maintaining quality of experience for subscribers.  Read More

Understanding and embracing the Internet of Things

#IoTChat with Ovum's Gary Barnett

September 3, 2014
The “Internet of Things” (IoT) describes the phenomenon of “ubiquitous connectivity” with physical objects, made possible by the widespread use of sensory devices and wireless technologies throughout our environments. Read More

How operational efficiency leads to reducing fraud

September 3, 2014
When I think back to last year’s Information on Demand (now Insight) conference, one customer story in particular comes to mind: Memorial Healthcare System’s uncovering of vendor fraud, a bid rigging scheme and a potential staff risk in what began as an effort to simply streamline and improve the accounts payable process. When this routine investigation turned ugly, it became apparent that there was a real need for attention to fraud identification and reduction in all businesses today. Read More

In-Hadoop analytics

August 29, 2014
Hadoop offers a cost effective solution for landing and transforming data before feeding the data warehouse. Hadoop also offers a cost effective solution for aged data that's rolled out of the warehouse. If you're going to extract real business value from big data, then you need to embrace new data sources. Analytics are the key to making sense of big data.  Read More

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