Many marketing concerns have seen the light when it comes to the application of big data analysis as a means of outthinking the competition. Discover three best practices for implementing big data analytics for good data science in marketing initiatives.
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
Apache Spark not only excels at data warehousing, in-memory environments for building data marts and other functions, it also is well suited for pulling data from a wide range of sources and transforming and cleansing that data in an Apache Hadoop cluster. And then there is Spark’s complementary
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.
Bringing analytics to the C-suite doesn’t have to be a struggle. Learn how you can tailor your analytics conversations to help your executive colleagues throw open the door to new vistas of business opportunity.
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.
Data and analytics–based transformation for many organizations is rapidly giving way to new possibilities and opportunities that lie on the immediate horizon of the cognitive era. Discover how organizations can create strategic advantage by investing in data leaders, embracing cognitive computing
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.