Big Data Research
August 15, 2014
To close out our week of looking at the most popular content from the first half of 2014, we turn to the royalty of shareable content: infographics, animations and presentations.
August 12, 2014
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.
August 6, 2014
Analytics Across the Enterprise is a new book authored by IBM analytics practitioners Dr. Brenda L. Dietrich, Dr. Emily C. Plachy and Maureen Fitzgerald Norton that details IBM’s past and present leadership in business analytics.
July 30, 2014
This new series covers big data adoption across multiple industrial sectors, as well as the defining big data elements and anomalies prevalent across each sector.
July 28, 2014
In the rapidly evolving SQL-on-Hadoop space, IBM’s Big SQL 3.0 moves the industry forward through its contributions in improving query performance and workload management, while maintaining compatibility with open source Hive and SQL standard. This blog gets under the hood to explain how Big SQL 3.0 delivers these optimizations.
July 23, 2014
A majority of organizations today claim they have a competitive advantage because they are using big data and analytics. But, if everyone is claiming that, who really has the competitive advantage? The ones that do more predictive analytics? The ones that can do it cheaper? My bet is that it’s the ones that can do it faster.
July 18, 2014
If most organizations are using analytics to improve customer interactions, optimize supply chains and reduce financial risk then where does the advantage in today's marketplace come from? The IBV 2014 Analytics study will explore how organizations are creating a competitive advantage in today's data-driven marketplace.
July 17, 2014
The recent controversy over the ethics of Facebook's attempts to influence moods through tweaks to its newsfeed algorithms is overblown. Essentially, Facebook data scientists conducted one of many real-world experiments that are standard operating procedure with them and with most online businesses these days. This was just a routine real-world experiment in big-data-driven sentiment analysis, content optimization and customer experience management.
July 3, 2014
Video content analytics tools are humanity's unblinking eyes, capable of continuously filtering the world's media streams at scale. Video content analytics algorithms can parse the fine details within and between successive frames of specific streams, supporting pattern recognition, gesture recognition, location detection, motion detection, event detection, production-style detection, dynamic video masking and camera tamper detection.
June 26, 2014
The date is June 26, 1969. Mankind is getting ready to launch three brave astronauts into space; two of which will walk on the surface of the moon and change history forever. Meanwhile, another change is taking place: the rise of the computer in the workplace and the importance of applying data to decision making at high speed and high capacity across long distances. Such is the case in the world of advertising. Join us as we take “one small step” back in time to experience “one giant leap” in the origins of big data.