And they said resilience—continuous data access in the face of outages, failures and downtime—across distributed data sources is impossible. Yet the recent IBM BigInsights release offers this capability in its IBM Big Replicate technology. Get an inside look at resilience in an interview with Jim
Chris Maddern is cofounder of Button, the leading marketplace for app connections. Before starting Button, Chris led mobile engineering for popular social payments network Venmo and founded several mobile products startups. Learn more in this interview as Chris talks with IBM data science
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
Join IBM data science evangelist James Kobielus and Dave Saranchak, a data scientist with Elder Research, to discover how Dave develops and applies statistical data modeling techniques for national security clients.
It is important to recognize that the level of integration and governance provided must be tailored to suit the needs of various stakeholders inside and outside of the organization. Some need the ability to explore raw data. Others wish to take analytical discovery into their own hands. Still
Join IBM data science evangelist James Kobielus as he interviews Jennifer Shin, the founder of data science, analytics and technology company 8 Path Solutions. A recognized thought leader, Jennifer is a data science contributor for the IBM Big Data & Analytics Hub.
To drive coordinated planning across diverse business functions, and deliver huge value to planners and decision-makers, the most efficient approach is to use common decision optimization tools that address business and process specifics.
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.
To ensure data science success, you need to provide data scientists with an environment that is open, engaging, and fosters collaboration. To explore how your data scientists can access all the open functionality and expertise they’ll need for critical projects, join the new Data Science Experience.
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.
To ensure data science success, you need to provide data scientists with an environment that is open, engaging, and fosters collaboration. To explore how your data scientists can access all the open functionality and expertise they’ll need for critical projects, join the new Data Science Experience
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