Blogs

IBM launches new Integrated Analytics System with Machine Learning

IBM launches new Integrated Analytics System with Machine Learning

November 16, 2017 | by Charles King, Principal Analyst and President, Pund-IT, Inc.
Information analytics has never been a “one size fits all” proposition. That applies to the hardware and software technologies organizations employ, the information being parsed and the goals of specific projects.
5 tips for machine learning success outside of Silicon Valley

5 tips for machine learning success outside of Silicon Valley

November 15, 2017 | by Jean-François Puget, Chief Architect – Analytics Solutions, IBM
Machine learning concerns in Silicon Valley tend to be different from those elsewhere in the U.S. — and outside of the U.S. So, here are five tips for those hearing about machine learning efforts in Silicon Valley, but who work elsewhere. These suggestions consider where machine learning and data...
Recapping the IBM Chief Data Officer Strategy Summit Fall 2017

Recapping the IBM Chief Data Officer Strategy Summit Fall 2017

October 30, 2017 | by Oliver Clark, Social Media Execution Strategist, IBM
See what you missed at the IBM Chief Data Officer Strategy Summit Fall 2017 in Boston, Massachusetts with a collection that includes a full social recap, videos, quotes and more.
First-ever IBM Analytics University empowers data transformation

First-ever IBM Analytics University empowers data transformation

October 24, 2017 | by Phylicia Teymer, Social Media Strategist, IBM
If you’re holding an event for the very first time, what helps you gauge its success? At IBM Analytics University, we turned to social media analytics. Here’s a summary of what we learned from the experts and from Watson Analytics for Social Media.
5 reasons Analytics University is the analytics event of 2017

5 reasons Analytics University is the analytics event of 2017

October 5, 2017 | by Forsyth Alexander, Senior Writer and Content Strategist, IBM
IBM Analytics is coming to Berlin and New Orleans this October. Here are five traits that make the conference unique. Can't make it? Join the Facebook livestream on October 10 or watch the replay to hear the opening session keynotes from Joel Shapiro and Marc Altshuller.
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.
How to succeed in the multi-cloud era

How to succeed in the multi-cloud era

September 26, 2017 | by Benjamin Tao, VP, Worldwide Portfolio Marketing, IBM Analytics, IBM
In a time when data is perhaps a business’s most valuable resource, the ability to access, protect and analyze information plays a critical role in an organization’s overall multi-cloud strategy. Here's how to succeed.
When faster data science moves the world

When faster data science moves the world

September 26, 2017 | by Noah Kuttler, Marketing, IBM Data Warehouse Offerings, IBM
Learn how the IBM Integrated Analytics System, a unified data platform built on the IBM Common SQL Engine, helps do data science faster with high performance, embedded machine learning capabilities and built-in tools for data scientists to deliver analytics critical to increasing your organization’...
IBM Business Intelligence ranks highly... But here's what matters most

IBM Business Intelligence ranks highly... But here's what matters most

September 21, 2017 | by Roberta Wakerell, Business Analytics Client Success, IBM
The most recent BARC Score report ranks business intelligence (BI) vendors, but more notably states your BI platform must be strategic and able to span requirements.
Transforming a city with data and insight

Transforming a city with data and insight

Power to the people

September 19, 2017 | by Nickolus Plowden, BI Portfolio Marketing Manager, IBM
For the first time in human experience, there’s the opportunity to transform a city by listening to all of its inhabitants, individually. That’s the mission of the Jakarta Smart City (JSC) project, and it’s a major challenge in a district of some 10 million residents.

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