Blogs

Learn how to build your ladder to AI with "Machine Learning Everywhere"

Learn how to build your ladder to AI with "Machine Learning Everywhere"

January 31, 2018 | by Rosie Pongracz, Worldwide Marketing Director, Data Science & Business Analytics, IBM
Join us 27 February at 1 PM ET for "Machine Learning Everywhere: Build Your Ladder to AI." Visit the event landing page to learn more about the event and register for a calendar reminder: ibm.com/mleverywhere
Data governance is not a sailor’s yarn

Data governance is not a sailor’s yarn

How Information Server V11.7 will help keep your “ship” afloat

January 2, 2018 | by Beate Porst, Offering Manager – IBM Information Server, IBM
Whether you want to build a bridge, explore the sea, or simply try to identify new markets, you will only be as good as the data you use. This means it must be complete, in context, trusted and easily accessible to drive insights.
Learn how you can fast track your company’s data

Learn how you can fast track your company’s data

December 29, 2017 | by Adam B. Trunkey, Marketing Leader, IBM Analytics North America
Earlier this year, IBM held the “Fast Track Your Data — Live from New York” event for thousands of our clients. Our mission: to help business and technology leaders better understand the critical importance that data and analytics play in an organization’s digital transformation. Technology...
A hand to hold: Giving Watson a body (and a soul)

A hand to hold: Giving Watson a body (and a soul)

December 20, 2017 | by Jennifer Clemente, IBM
If the first things that come to mind when you think of AI assistants are the likes of Amazon Alexa or Google Home, it’s time to learn about embodied cognition, AI that can physically interact with its environment. A year ago, IBM researchers did just that and brought Watson services into the...
Top 10 IBM Big Data & Analytics Hub blog posts of 2017

Top 10 IBM Big Data & Analytics Hub blog posts of 2017

December 4, 2017 | by Erika Ulring, Editor-in-Chief of the Big Data and Analytics Hub, IBM
Readers of the IBM Big Data & Analytics Hub were hungry for knowledge this year. They voraciously read blog posts about incorporating machine learning, choosing the best possible data model, determining how to make the most of data science skills, working with open source frameworks and more....
Driving breakthrough innovation and change

Driving breakthrough innovation and change

To achieve differentiation and speed to market, businesses need to innovate and drive change.

November 27, 2017 | by Steve Astorino, Vice President, Development, IBM Private Cloud Analytics Platform
Speed to market and differentiation are two key factors for business success. To achieve both, organizations need to rapidly innovate and drive change.
Oversight, insight and execution: Is your data governance strategy working?

Oversight, insight and execution: Is your data governance strategy working?

November 20, 2017 | by Michael Lock, Vice President and Principal Analyst, Aberdeen
Allocating IT budget is a tricky business. Companies need to make choices and manage investment tradeoffs. However, recent Aberdeen research suggests that foundational activities to protect, oversee and manage the data environment through a unified approach to data governance can produce enticing...
Data Science for All: What is it? Why care? How do I get it?

Data Science for all: What is it? Why care? How do I get it?

November 17, 2017 | by William Roberts, Technical Product Marketer, IBM
Organizations everywhere, from massive governments to the smallest start-ups, are in a race for the best-possible data expertise and tools. To help your team understand the data science journey, IBM created the Data Science for All webcast.
The mainframe isn't going anywhere soon — except maybe to Mars

The mainframe isn't going anywhere soon — except maybe to Mars

November 17, 2017 | by Steve Moore, Senior Story Strategist, IBM
Long before humans go to the moon or Mars, we'll need to send unmanned missions to establish the early infrastructure. Don Haderle, a scholar of the mainframe, recently suggested that mainframe computer systems will become the obvious solution for the moon, Mars, and beyond. Learn why.
Learning machine learning? Six articles you don’t want to miss

Learning machine learning? Six articles you don’t want to miss

September 28, 2017 | by Dinesh Nirmal, Vice President, Analytics Development, IBM
Digital disruption has revolutionized the way we live and do business — and machine learning is the latest wave of that revolution.