Blogs

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...
CIO Insights: Hitting the accelerator on app development while meeting the expectations of your CIO

CIO Insights: Hitting the accelerator on app development while meeting the expectations of your CIO

February 7, 2017 | by Anthony Paris, Global Client Reference Manager, IBM
CIOs are saddled with the incredible responsibility of ensuring all things IT are not just functioning, but are meeting the high demands of both internal enterprise users as well as those customers that rely on that enterprise as part of their own business. Though CIOs have an incredible...
Analytics and the cloud: A perfect match

Analytics and the cloud: A perfect match

February 7, 2017 | by Steven Lockwood, Executive Information Architect, IBM
This is the first in a sequence of blogs that takes a peek at what is driving analytics onto the cloud, what are the challenges that will need to be overcome over the next 5 years and how they will be tackled.

5 key attributes of effective data monetization strategy

February 6, 2017 | by Karan Sachdeva, Sales Leader Big Data Analytics APAC, IBM
In cognitive computing era, new revenue generation stream has emerged with data at center of the modern digital business model. One of the key capabilities cognitive computing enables for an organization is the ability to generate additional revenue streams by using data effectively. In the big...

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