IBM Big Data Hub

JANUARY 7, 2019

Are you working to collect, organize, analyze or modernize your company’s data? Is your business on the ladder to AI? Then you should join us at IBM Think 2019, the event of the year for analytics pros and business leaders.

Analytics 76

Analytics 76

Teradata

JANUARY 7, 2019

David Socha compares Karl Benz and Sigmund Freud, two people that fundamentally and indisputably influenced how we live today.

75

75

IBM Big Data Hub

JANUARY 7, 2019

Find out more about how the IBM Data Science Elite team helped Experian succeed at better analyzing their data at Think 2019.

Data Science 79

Data Science 79

Nutanix

JANUARY 7, 2019

The volume and sophistication of cyber attacks along with extensive losses from successful exploits being covered in the media have made security a top priority for IT leadership. No business wants to make headlines because of a security breach.

IT 20

IT 20

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Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

Visualization

Occam's Razor

JANUARY 7, 2019

Some moments in time are perfect to reflect on where you are, what your priorities are, and then consider what you should start-stop-continue. In those moments, you are not thinking of delivering incremental change… You are driven by a desire to deliver a step change (a large or sudden discontinuous change, especially one that makes things better – I’m borrowing the concept from mathematics and technology, from “step function”).

Marketing Analytics 88

Marketing Analytics Marketing Analytics Strategy 88

Data Science and Beyond

JANUARY 7, 2019

Bootstrap sampling techniques are very appealing, as they don’t require knowing much about statistics and opaque formulas. Instead, all one needs to do is resample the given data many times, and calculate the desired statistics. Therefore, bootstrapping has been promoted as an easy way of modelling uncertainty to hackers who don’t have much statistical knowledge.

Statistics 77

Statistics Uncertainty Testing Modeling 77