Blogs

3 principles for climbing the AI ladder with IBM Governed Data Lake

3 principles for climbing the AI ladder with IBM Governed Data Lake

February 12, 2018 | by Karan Sachdeva, Sales Leader Big Data Analytics APAC, IBM
Recently, we capped off the first leg of the “Enabling digital business with an IBM governed data lake” road shows in the Asia Pacific region with our customers and partners.
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
4 easy ways to get started with information governance

4 easy ways to get started with information governance

January 16, 2018 | by Candace McCabe, Expert Information Systems Architect for Information Governance, J.B. Hunt Transport, Inc.
Two paradoxes of information technology are: data has no value if you can’t access it, and it’s a liability if the wrong people access it. Company leaders don’t think they need data governance until these paradoxes hit them hard. According to IBM CEO Ginni Rometty, data is the world’s new natural...
Get a jump start on real-time analytics and insights

Get a jump start on real-time analytics and insights

January 4, 2018 | by Stephanie Hazlewood, Senior Technical Staff Member, Technical Strategy, IBM Analytics, IBM
Unlock the trusted information about your customers with MDM and empower your business analysts to search, explore and match with other data collections with governed freedom.
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...
Recapping the Data Governance Winter Conference and looking ahead to 2018 governance trends

Recapping the Data Governance Winter Conference and looking ahead to 2018 governance trends

December 28, 2017 | by Brian Mayer, Business Ready Data Practitioner, IBM
The 2017 Data Governance Winter Conference on 4 - 8 December covered topics ranging from how to start a data governance program to attaining data governance maturity to how to improve your organization’s information quality. After attending, Brian Mayer, business ready data practitioner, and Mark...
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....
Providing transactional data to your Hadoop and Kafka data lake

Providing transactional data to your Hadoop and Kafka data lake

November 30, 2017 | by Davendra Paltoo, Offering Manager, IBM
The data lake may be all about Apache Hadoop, but integrating operational data can be a challenge. Learn how to deliver real-time feeds of transactional data from mainframes and distributed environments directly into Hadoop clusters and make constantly changing data more available.
Understanding the new Gartner MDM Magic Quadrant and the IBM position

Understanding the new Gartner MDM Magic Quadrant and the IBM position

November 30, 2017 | by Nancy Hensley, Director of Offering Management, IBM Analytics, IBM
The new Gartner Magic Quadrant (MQ) for Master Data Management has been published, and what you might not notice at first glance is that this year, IBM chose not to participate. Gartner still included IBM in the MQ. However, we did decline to engage in the process and provide detailed data for...