Inderpal Bhandari, chief global data officer at IBM, talks about the many nuances of data, value of analytics and importance of the partnership between the CIO office and CDO office. He also discusses why building a comprehensive data strategy is important for organizations. Check out this CIO
A day in the life of data science professionals likely involves navigating the challenges and complexities of sourcing, preparing, modeling, developing and governing data, analytics tools and other assets in collaborative environments. Get a glimpse of the roles that compose data science teams and
Maybe classifying data as structured or unstructured isn’t so simple. What is structured to some may not be structured to others and vice versa. When it comes to the business value of data, consider another way to look at data—whether it is repetitive data or non-repetitive data.
When I spoke with Derek Schoettle, General Manager, Analytics Platform Services, the subject of open source capabilities came up a few times. Data is going to change the culture of business, and in fact it becomes the culture when you truly embrace it.
Scientists are using predictive weather data capabilities to analyze and forecast storm paths with increasing accuracy. They’re tapping into data from a variety of sources for information, and these developments and applications of data analytics help keep communities in the paths of oncoming
Insights from CIOs can reveal a lot about the industries in which they operate, and hearing from IBM’s CIO is no exception. Check out this recent podcast featuring Jeff Smith, CIO at IBM, who offers a glimpse at his idea of focusing on culture, a story of transformation, the CIO’s role and
Missing the mark in customer segmentation marketing can be detrimental for consumer product companies. Marketing consumer products demands a fluid, dynamic process for customer segmentation that is in sync with today’s consumer. Learn more about how cognitive analytics leverages consumer and
Are you a big data and analytics subject-matter expert? Do you enjoy writing? Would you like to be published? Check out IBM Press and the great opportunity to be a big data and analytics author. Share your expertise with readers from customer and partner organizations, colleagues and the greater
Insights from CIOs can reveal a lot about the industries in which they operate, and hearing from IBM’s CIO is no exception. Check out these highlights from a recent podcast featuring Jeff Smith, CIO at IBM, who offers a glimpse at his idea of focusing on culture, a story of transformation, the CIO’
With so many different attackers with methods as varied as their motives, there is no such thing as an “impenetrable barrier.” So your only real option is to go on the offensive. IBM i2 Enterprise Insight Analysis integrates visual analysis capabilities with advanced analytics. It enables
Data scientists and others often encapsulate big data by its dimensions known as the four Vs: volume, variety, velocity and veracity. But when considering big data as a source for insight to enhance decision making, it may be best characterized by its three Cs—confidence, context and choice—with
The choice to flex a data warehouse on a private cloud is a personal one. It offers benefits in three key areas: enhanced control over data and apps, better management and monitoring, and custom tailoring that is built to address specific user requirements and self-service applications.
Reimagine the data science experience as an open experience with this IDE, which aims to facilitate a full range of development tasks, from data acquisition and data mining to prototyping and programming. When you do, discover how you can use Apache Spark and R to pursue open analytics by building