Blogs

Incorporating machine learning in the data lake for robust business results

Incorporating machine learning in the data lake for robust business results

March 28, 2017 | by Karan Sachdeva, Sales Leader Big Data Analytics APAC, IBM
Building a data lake is one of the stepping stones towards data monetization use cases and many other advance revenue generating and competitive edge use cases. What are the building blocks of a “cognitive trusted data lake” enabled by machine learning and data science?
The data governance story: Building a business language glossary

The data governance story: Building a business language glossary

March 28, 2017 | by Marc Haber, Offering Manager, IBM InfoSphere Information Governance Catalog, IBM
Data is often the catalyst that drives business direction and growth. However, if data is cryptic and not understood, then how can such data contribute to such direction or growth? Just like in life, we learn from our past, as we gain direction and insight from previous events or activities to make...
A vision of hybrid cloud for big data and analytics

A vision of hybrid cloud for big data and analytics

March 17, 2017 | by Christine Ouyang, Distinguished Engineer, IBM
Quite often, we see that the need for data security and governance makes some organizations hesitant about migrating to the cloud. This is perfectly understandable given the types of data gathered and used by businesses today, the regulations they must adhere to on both a local and global level,...
Delivering customized nutrition with cognitive insights

Delivering customized nutrition with cognitive insights

March 16, 2017 | by Elizabeth Koumpan, Executive Architect, IBM
Nutrition is the science of how food effects the human body and focuses upon disease prevention, healing and management of chronic conditions. A dietitians’ field of work is however much generalized. This includes working with different diets, applications, data sources, articles, and multiple...
Analytics and the cloud: The Internet of Things

Analytics and the cloud: The Internet of Things

Managing the growth of a connected world to gain new insights

March 7, 2017 | by Steven Lockwood, Executive Information Architect, IBM
This is the second in a series of blogs on analytics and the cloud. We will consider the rise of the Internet of Things (IoT), analytics used on that data and how the cloud can be utilized to drive value out of instrumenting a very wide range of ‘things’.
Four perspectives on data lakes

Four perspectives on data lakes

February 22, 2017 | by Mandy Chessell, Distinguished Engineer, IBM Analytics Group CTO Office, IBM
Mandy Chessell, Distinguished Engineer & Master Inventor discuses four key perspectives on Data Lakes and introduces a new video series.
The data governance story: An introduction to governance and metadata

The data governance story: An introduction to governance and metadata

February 15, 2017 | by Marc Haber, Offering Manager, IBM InfoSphere Information Governance Catalog, IBM
The need for information is paramount to our need to excel and succeed. Businesses rely on information for strategic planning and driving growth. Individuals rely on information to make decisions and gain understanding of things. All information is driven by knowledge, and for knowledge to be an...
Charting the data lake: Building a business language for data lake

Charting the data lake: Building a business language for data lake

February 13, 2017 | by Pat O'Sullivan, Senior Technical Staff Member, IBM Analytics
When the data lake is deployed as an infrastructure to be exploited by different users in various departments with their own needs, their own different requirements and often their own dialects in terms of a business language, then a universal translator can become very useful. Especially with the...
Understanding data ownership in the data lake

Understanding data ownership in the data lake

February 10, 2017 | by Elizabeth Koumpan, Executive Architect, IBM
There is so much talk about data as a new natural resource. The amount of data organizations and citizens across the globe produce, is authored in many systems and consumed by various organizations and users in different formats. This begs the following questions: Who owns this data? And why it is...
Analytics and the cloud: A perfect match

Analytics and the cloud: A perfect match

February 7, 2017 | by Steven Lockwood, Executive Information Architect, IBM
This is the first in a sequence of blogs that takes a peek at what is driving analytics onto the cloud, what are the challenges that will need to be overcome over the next 5 years and how they will be tackled.

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