Blogs

How to take the next step in Information Governance now

How to take the next step in Information Governance now

IGC Trial puts governance catalog in your hands in a few minutes

June 22, 2017 | by Marc Haber, Offering Manager, IBM InfoSphere Information Governance Catalog, IBM
A decade ago, governance was dictated and enacted by a select group of people. Today, while the principles of governance are largely owned by the same select group of people, everyone has a hand and shared responsibility in the enactment and fulfillment of governance.
Start Test Driving Data Governance

Start Test Driving Data Governance

June 20, 2017 | by Nancy Hensley, Director of Offering Management, IBM Analytics, IBM
No matter what site you search, it’s pretty clear that self service data is a top trend in the data market today. The knowledge and insight that we can obtain from data is truly a secret weapon. But the challenge is making the data available while keeping it trusted and governed.

9 Experts Answer Your Top Data Science & Machine Learning Questions

June 16, 2017 | by Aylee Nielsen, Analytics Community Manager, IBM
Recently, I had the honor of speaking with a number of the world’s most influential thought-leaders in the fields of data science, data analytics, machine learning and digital transformation. This group of prominent data technologists was more than happy to answer a wide variety of question on...
Dez Blanchfield and Lillian Pierson: Fast Track Your Data

Dez Blanchfield and Lillian Pierson: Fast Track Your Data

June 16, 2017 | by Dez Blanchfield, Chief Data Scientist, GaraGuru
Dez Blanchfield talks with Data Scientist & author Lillian Pierson about our Fast Track Your Data 2017 event in Munich, sharing general thoughts on the key themes and topics, in particular how organizations can secure their competitive advantage with machine learning.
What data scientists can do with better machine learning

What data scientists can do with better machine learning

June 14, 2017 | by Dinesh Nirmal, Vice President, Analytics Development, IBM
Smart companies are finding new ways to squeeze more value out of their massive data storehouses. They’re unlocking insights from their data that build new business models, improve customer experiences and outpace competitors. So where do these business-changing insights come from?
Charting the Data Lake: How models can support the data scientist

Charting the Data Lake: How models can support the data scientist

June 14, 2017 | by Pat O'Sullivan, Senior Technical Staff Member, IBM Analytics
Perhaps one the single most significant changes to the analytics landscape in recent years had been the emergence of the data scientist. This role is continuing to evolve, with many organizations still in the process of establishing how best to incorporate this relatively new discipline into their...
Countdown to GDPR: Yes, it applies to you—no, you don’t have to panic

Countdown to GDPR: Yes, it applies to you—no, you don’t have to panic

June 13, 2017 | by Seth Dobrin, Vice President and Chief Data Officer, Analytics, IBM
Are you dealing with information that belongs to EU subjects? Does your company have a “Data Protection Officer”? If the answer the first question is yes and the answer to the second is no, then the new General Data Protection Regulation (GDPR) probably applies to you, and you might not be prepared...
Ready for Data to Change Your World? Join Us in Munich.

Ready for Data to Change Your World? Join Us in Munich.

June 6, 2017 | by Rob Thomas, General Manager, IBM Analytics Platform, IBM
We’re living through the third great revolution in modern business. First came economies of scale, which we harnessed with the Industrial Revolution, the assembly line, and the creation of global markets. Second was network effects, seen most obviously in the rise of the Internet and the Web. Third...
Charting the data lake: Model normalization patterns for data lakes

Charting the data lake: Model normalization patterns for data lakes

May 15, 2017 | by Pat O'Sullivan, Senior Technical Staff Member, IBM Analytics
The data lake can be considered the consolidation point for all of the data which is of value for use across different aspects of the enterprise. There is a significant range of the different types of potential data repositories that are likely to be part of a typical data lake.
How an evolving data ecosystem is transforming the healthcare industry

How an evolving data ecosystem is transforming the healthcare industry

May 9, 2017 | by Elizabeth Koumpan, Executive Architect, IBM
To be a differentiator, product innovation need to be done in new ways, expanding it into services and solutions.

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