Blogs

Machine learning everywhere: IBM banks on trust and open standards to fuel adoption

Machine learning everywhere: IBM banks on trust and open standards

May 21, 2018 | by Jennifer Clemente, IBM
Hear from IBM's Dinesh Nirmal on his thoughts on AI and the potential for widespread adoption as IBM puts its weight behind enterprise data science
GDPR:  Where is your data and how did it get there?

GDPR: Where is your data and how did it get there?

May 10, 2018 | by Jonathan Wisler, European Leader, Cloud Infrastructure, IBM
Reduce the needless complexity in your business with the help of the GDPR.
5 predictions for the future of machine learning

5 predictions for the future of machine learning

May 10, 2018 | by Matthew Johnsen, Social Content Writer, IBM Cloud
The future of machine learning is one the hottest topics in data and analytics.
Recapping the IBM Chief Data Officer Strategy Summit Spring 2018

Recapping the IBM Chief Data Officer Strategy Summit Spring 2018

May 10, 2018 | by Oliver Clark, Social Media Execution Strategist, IBM
Building on the success of the IBM Chief Data Officer Strategy Summit Fall 2017, the IBM Chief Data Officer Summit Spring 2018 took place 1 - 2 May in San Francisco. We've collected a full social recap in the below Twitter Moment, as well as interviews and keynote videos for you to peruse.
How to create a more flexible relational environment

How to create a more flexible relational environment

May 10, 2018 | by George Baklarz, Program Director, Core Database Technical Sales, IBM
For years, the relational database has been the stalwart backbone of organizational operations. Its set structure of rows and columns is perfectly suited to capture the data being generated from daily transactions reliably and efficiently.
What is free Hadoop costing you?

What is free Hadoop costing you?

May 8, 2018 | by Holly Vatter, Product Marketing Manager for Data Lake & Hortonworks Partnership, IBM
By 2025, there will be 180 trillion gigabytes of data in the world, compared to only 10 trillion gigabytes in 2015. Of this, 90 percent will be unstructured, which is why many organizations are adopting open source data lake technologies such as Apache Hadoop to handle this expanding volume and...
Find the rotten insights dragging down your business

Find the rotten insights dragging down your business

May 7, 2018 | by Anson Kokkat, Worldwide Offering Manager for Hybrid Data Management Platform, IBM
Each insight is useful for only a limited amount of time, so organizations that don’t closely track their insights’ shelf lives may be making poor decisions because of outdated information. Learn how to fix this.
You can't outsource your GDPR responsibility

You can't outsource your GDPR responsibility

May 4, 2018 | by Cindy Compert, Distinguished Engineer and Security CTO, IBM
In the context of the GDPR, businesses’ duty of care to customers doesn’t end when they pass on their data to third parties. There’s still work to do.
GDPR: Quickest wins and easiest mistakes

GDPR: Quickest wins and easiest mistakes

May 3, 2018 | by Richard Hogg, Global GDPR & Governance Offerings Evangelist, IBM
As you prepare for a big event such as the GDPR, you must show willingness to work towards your goal of compliance and to give credit where it’s due for a well-developed plan.
GDPR compliance: Reasons to be cheerful

GDPR compliance: Reasons to be cheerful

In a series of blog posts, the ‘Coach’ offers recommendations on how to get businesses into shape so they can thrive in the new data era.

May 2, 2018 | by Seth Dobrin, Vice President and Chief Data Officer, Analytics, IBM
When you hire a life coach, feelings can often be mixed. Someone is helping you on the way to improving yourself, but that path is one you have to walk, and it can be tough. Feelings can be much the same about the European Union’s General Data Protection Regulation (GDPR), which some organizations...