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
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.
In our continued discussion, guests Richard Stiennon and Michael Martin and host Andrew Friedrich field further questions from the audience and describe their ideal cybersecurity scenarios for the future.
Host Andrew Friedrich and guests Richard Stiennon and Michael Martin discuss how public sector organizations can defend themselves against ongoing cybersecurity threats, and emphasize the importance of analytics in preventing online attacks.
What does digital business really mean for organizations? Business becomes predictive, and new business models are created daily to address opportunities that may last only seconds. The company becomes almost organic, with an enterprise nervous system that senses, understands and adapts to local
Learn about the new dashDB product, which makes a powerhouse of data warehousing and analytics technology accessible to everyone on the cloud. A fully managed service that can help IT professionals, data scientists and line of business analysts get up and running with insights from their data with
Cloud, mobile, security, analytics and big data are all significant issues for IT organizations, and the landscape of each issue is rapidly evolving. While it’s difficult for organizations of all sizes to keep up with the changes, it’s especially challenging for small and midsize companies. Brian
Databases have been around for decades, but suddenly there’s renewed interest in database technology. Nancy Hensley, director of marketing and strategy for databases and database systems at IBM, joined the show to explain what is happening in the industry to drive this interest. She also described