Open source is a disruptor that never quits, and it is seemingly penetrating and transforming every aspect of established data, analytics and application ecosystems. Give this podcast, recorded at IBM InterConnect 2016, a listen to learn how open source initiatives are transforming machine learning.
Open source is a disruptor that never quits. It seems to be penetrating and transforming every aspect of established data, analytics and application ecosystems. In this podcast, recorded at IBM InterConnect 2016, listen to David Taieb, a cloud data services developer advocate at IBM, share his
Metadata and governance might not have a long history of setting hearts ablaze, but those who are recognizing their importance to self-service are looking to metadata to help organizations fully leverage a wide range of assets across the business. In this InsightOut podcast, IBM Analytics CTO Tim
Open source is a disruptor that never quits, and it seems to be penetrating and transforming every aspect of established data, analytics and application ecosystems. In this podcast, recorded at IBM InterConnect 2016, listen to Kamille Nixon, portfolio marketing manager at IBM, share her expert
In a podcast recorded at IBM InterConnect 2016, Roger Strukhoff, executive director, Tau Institute for Global ICT Research, shares his expert perspective on how open source initiatives are transforming the Internet Of Things.
In this episode of the Open for Data podcast, join Joe McKendrick in exploring the role of cloud computing in reshaping the global business environment — and find out how open source initiatives are driving that change.
Open source initiatives are reshaping the face of data science, bringing data professionals together to achieve previously infeasible goals. In this podcast, discover how the data science landscape is changing, transforming established business approaches to data.
Keep the insights coming from IBM InterConnect 2016 with this episode of the Open for Data podcast, in which Adrian Bowles of RTInsights shares his perspective on what open source initiatives mean for big data analytics.
As telecommunications companies offer a wider range of services, the amount of data they must process is increasing exponentially. This podcast discusses how telcos can use Apache Hadoop to keep up with rapid data growth.
Bernard Marr, one of the world’s top experts in big data and analytics strategy, made a return visit to our podcast to explain his vision of "SMART big data, analytics and metrics."
You may be surprised to learn that he doesn't really like "big data." In fact, he says "the challenge is to build the
IBM has a long and successful history with open source, from running Linux on IBM PCs to contributing initial codebase for Eclipse. We believe a mix of open source and closed source is the best way to drive adoption in the marketplace. Having the full support of a vendor like IBM can lower risk