Blogs

How to leverage the power of prescriptive analytics to maximize the ROI

February 22, 2017 | by Preetam Kumar, Product Marketing Manager, IBM Analytics, IBM
Prescriptive analytics (optimization) is a sophisticated analytics technology. It can deliver great business value by helping decision makers handle the tough trade-offs that arise when limited resources force choices among options. Optimization was traditionally applied by Operations Research...
Four perspectives on data lakes

Four perspectives on data lakes

February 22, 2017 | by Mandy Chessell, Distinguished Engineer, IBM Analytics Group CTO Office, IBM
Mandy Chessell, Distinguished Engineer & Master Inventor discuses four key perspectives on Data Lakes and introduces a new video series.
Chief Data Officer, meet Generation Z

Chief Data Officer, meet Generation Z

February 22, 2017 | by Chris Gillar, Content Marketing Manager, IBM Analytics Platform, IBM
Chief Data Officers, in particular, will want to take note of Generation Z as they begin to grow up, because many of their attitudes and behavior toward data are shifting from that of previous generations. Those that prepare for Gen Z early and build a relationship with them based on good data...
Wanted: Smart humans

Wanted: Smart humans

Why AI still needs us

February 20, 2017 | by Greg Council, Vice President, Marketing and Product Management, Parascript
The reality is that AI is still heavily-reliant upon smart, willing and trained humans in order for AI to behave in a manner that we would expect. Humans are needed to scope the problems, identify relevant examples and verify the results. Without humans as a guide, current AI is no more capable...
Machine learning enriches the private cloud

Machine learning enriches the private cloud

February 15, 2017 | by James Kobielus, Big Data Evangelist, IBM
Fundamentally, machine learning is a productivity tool for data scientists. As the heart of systems that can learn from data, machine learning allows data scientists to train a model on an example data set and then leverage algorithms that automatically generalize and learn both from that example...
3 reasons to give sales reps more visibility into compensation

3 reasons to give sales reps more visibility into compensation

February 15, 2017 | by Emily Manley, Content Marketing Manager, IBM
Building on findings from CSO Insight's study of sales compensation and performance management, here are three reasons why sales organizations should invest in variable compensation solutions that give sales reps visibility into their incentive compensation.
The data governance story: An introduction to governance and metadata

The data governance story: An introduction to governance and metadata

February 15, 2017 | by Marc Haber, Offering Manager, IBM InfoSphere Information Governance Catalog, IBM
The need for information is paramount to our need to excel and succeed. Businesses rely on information for strategic planning and driving growth. Individuals rely on information to make decisions and gain understanding of things. All information is driven by knowledge, and for knowledge to be an...
IBM and Fox make a big impact with Hidden Figures screening

IBM and Fox make a big impact with Hidden Figures screening

February 13, 2017 | by J. White Bear, Data Scientist/ Advisory Software Engineer, IBM
January marked the release of the long awaited Hidden Figures movie featuring an all-star cast and highlighting the contributions of both women and IBM's technology to history. Hidden Figures tells the true story of three African-American female mathematicians, Katherine Johnson, Mary Jackson, and...
Charting the data lake: Building a business language for data lake

Charting the data lake: Building a business language for data lake

February 13, 2017 | by Pat O'Sullivan, Senior Technical Staff Member, IBM Analytics
When the data lake is deployed as an infrastructure to be exploited by different users in various departments with their own needs, their own different requirements and often their own dialects in terms of a business language, then a universal translator can become very useful. Especially with the...
Understanding data ownership in the data lake

Understanding data ownership in the data lake

February 10, 2017 | by Elizabeth Koumpan, Executive Architect, IBM
There is so much talk about data as a new natural resource. The amount of data organizations and citizens across the globe produce, is authored in many systems and consumed by various organizations and users in different formats. This begs the following questions: Who owns this data? And why it is...