Blogs

James Kobielus
Big Data Evangelist, IBM
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As IBM's big data evangelist, James Kobielus is IBM Senior Program Director, Product Marketing, Big Data Analytics solutions. He is an industry veteran, a popular speaker and social media participant and a thought leader in big data, Hadoop, enterprise data warehousing, advanced analytics, business intelligence, data management and next best action technologies.

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

IBM Watson: Core of the cognitive revolution

September 18, 2014
Thinking is as natural as breathing—but what about for a computer? Read More

Immunizing your business against toxic customer relationships

September 11, 2014
The customer is always right, even when some of them are totally unreasonable and, perhaps, a bit off their rocker. Read More

Who's afraid of the big (data) bad wolf?

Are you?

September 4, 2014
The success of big data projects often depends on having access to robust, scalable data integration. You would be hopelessly naive if you didn't acknowledge the fact that integrating huge amounts of data into "data lakes" can be quite burdensome, costly, complex, time-consuming, labor-intensive and so on. Rest assured that big data integration doesn't need to be burdensome, especially if you're wielding the right platforms, tools, personnel and best practices. If you're suitably empowered, there's no need to fear the big data wolf at the door. Read More

Raising real-time transaction and analytic processing to the next power

September 2, 2014
Transactions make the world go round, but fast analytics help the planet rotate even faster.   Read More

Consolidating and migrating to an in-memory analytics cloud

August 27, 2014
The consolidated memory cloud will be the dominant architecture of the big data future. For enterprises and service providers trying to get closer to that vision, however, the migration path will not always be straightforward.  Read More

Doing something about the weather

August 21, 2014
Big data has been the heart of predictive and real-time weather analytics from the start. Throughout all eras, meteorological models have greedily devoured every high-performance computing resource thrown their way. Leveraging these resources, fine-grained local weather forecasting may not be as farfetched as it sounds. It might even be possible to use the Internet of Things and big data to control some atmospheric conditions in real time at the local level. Read More

Using real-time analytics to identify who's scooping whom in online journalism

August 14, 2014
Working journalists are locked into a never-ending race against time. Not only are reporters always up against deadlines, but they are constantly scrambling to make sure they break the news before the competition. As more people turn to online news sources (including, but not limited to traditional news websites, streaming broadcasts and mobile apps) it's a bit bewildering to figure out who is scooping whom when on which breaking topics. Before long, we can expect to see the news services' data scientists build streaming tools that analyze how fast they and the competition are breaking news online, and bragging with data when they find themselves doing the scooping. Read More

Wearables driving real-time actionable analytics into the modern lifestyle

August 7, 2014
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 process of supporting myriad roles in users' lives, wearables will almost certainly cache working data sets that push more deeply into big data territory in terms of their volumes, velocities and varieties. Nevertheless, under any likely scenario, individuals' personal data clouds will undoubtedly hold far more on the volume side of the equation than people store locally today. Read More

Empowering athletes with real-time, data-driven decision support

July 31, 2014
There are complex challenges that a data scientist might face in statistically modeling real-time decision-support scenarios in fast-moving athletic competitions. Each sport needs to be modeled on its own terms. A within-game decision-support predictive model for one sport cannot be applied directly to another sport, even ones that share a common ancestor or many surface similarities. No two sports have exact same "game evolution" structure, embody the exact same rules, play on the same surface, use the same equipment or generate the same types of performance data. Read More

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