Mark Myers, market segment manager for IBM Watson Explorer, says the usual "3 V's" definition of big data is too narrow. "This way of looking at the issue limits big data to a technical challenge and misses what has become the real significance of big data: finding new ways to use data to create
The concern about consumer data privacy has never been higher. For example, 86% of Americans are concerned with data collection from Internet browsing and how it is used, and 70% of Europeans are concerned about the reuse of their personal data. With data breaches and issues such as the NSA’s
In my last post, we explored how audience data sources from inside and outside of the media organization can be “unified and utilized” for game-changing applications such as demand forecasting for Opening Weekend Box Office (OWBO) using big data analytics.
Our results showed that IBM achieved high
In today’s world, many can compare their big data landscape to a vast wilderness. We know it exists and it is growing in size, volume and complexity – but do we know what is really growing and taking roots. Are there valuable resources that, if mined, could create new growth and opportunities? Or
The big data landscape for most enterprises is a vast wilderness. It is a growing and complex ecosystem of different data types from multiple sources, including new data from social media and raw data collected from sources like sensors. Only after effectively exploring and navigating this terrain
Though the true focus of IBM's 2013 Impact Conference is "mobile" technology, Eric Sall's Wednesday session on "5 Game-Changing Big Data Strategies" was standing-room only. Sall is Vice President of Product Marketing for IBM Information Management and has been speaking quite a bit about these key
Eric Sall, vice president of product marketing for IBM's Information Management Group, joins Wikibon analysts Dave Vellante and Jeff Kelly to discuss real-world big data use cases:
Big Data Exploration
Enhanced 360-degree View of the Customer
Chief marketing officers are evolving to bring creative- and data-driven marketing and advertising together in order to deliver relevance to consumers and discover deeper insight into audiences. In this podcast, Graeme Noseworthy explains the top issues that CMOs reported in a research study they
Data Exploration is one of the top five business use cases for big data. Stacy Leidwinger, product marketing manager for IBM Data Explorer, describes the challenges that many organizations face, and the four key steps they should take when beginning a data exploration project.
To learn more about
IBM's Big Data platform is leading clients into a new era of computing by making data exploration and analysis simple, fast and economical. The newest crop of innovations, which represent the work of thousands of IBMers in labs around the world, are designed to help companies harness all data and
IBM has a long history of innovating for our clients. IBM's Big Data platform is leading clients into a new era of computing by making data exploration and analysis simple, fast and economical. Stay tuned for new Big Data solutions from IBM Software.To learn more about how IBM can help unlock the
Join Stacy Leidwinger, Product Manager IBM Big Data for a discussion of the Big Data Exploration use case, one of the most popular starting points for organizations embarking on their first Big Data project.
Insurance companies are looking to accelerate the speed and increase the precision of catastrophe modeling, the process through which companies determine the exposure of current policies and the probable maximum loss (PML) from a catastrophic event. Catastrophe modeling is vital for setting policy