Blogs

 How does machine learning work?

How does machine learning work?

March 20, 2017 | by Bob Yelland, UKI Big Data Marketing Manager, IBM
Machine learning—a branch of artificial intelligence—is changing not only how we interact with machines, but how we relate to the world around us.
Everybody is Sherlock Holmes in the era of Watson-powered team data science

Everybody is Sherlock Holmes in the era of Watson-powered team data science

March 20, 2017 | by Benjamin Tao, VP, Worldwide Portfolio Marketing, IBM Analytics, IBM
Data science is a team sport that involves specialists with complementary skills and aptitudes. Successful data science initiatives leverage high-performance team collaboration. Like the fictional sleuth and his partner, IBM’s customers in the data science community must have the right mix of...
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...
Charting the data lake: Using the data models with schema-on-read and schema-on-write

Charting the data lake: Using the data models with schema-on-read and schema-on-write

March 14, 2017 | by Pat O'Sullivan, Senior Technical Staff Member, IBM Analytics
In many cases the data lake can be defined as a super set of repositories of data that includes the traditional data warehouse, complete with traditional relational technology. One significant example of the different components in this broader data lake, is in terms of different approaches to the...
Understanding the power of real-time geospatial analytics

Understanding the power of real-time geospatial analytics

March 13, 2017 | by Preetam Kumar, Product Marketing Manager, IBM Analytics, IBM
With the Geospatial Analytics service in IBM Bluemix, you can monitor moving devices from the Internet of Things. The service tracks device locations in real time with respect to one or more geographic regions. Geospatial Analytics can be used as a building block in applications that support...
A DB2 journey: The hybrid database evolution

A DB2 journey: The hybrid database evolution

March 13, 2017 | by George Baklarz, Program Director, Core Database Technical Sales, IBM
The word "hybrid" gets used a lot these days and can refer to many things from a database perspective. For system administrators, a hybrid database can mean provisioning the database in the cloud, on premise, or in an appliance, with the location being transparent to applications or end-users. For...
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’.
Fundamentals for sure-fire cloud data warehouse optimization

Fundamentals for sure-fire cloud data warehouse optimization

An interview with James Kobielus

March 2, 2017 | by Andrea Braida, Portfolio Marketing Manager, IBM
There is a growing need for versatile, hybrid architectures that can combine the best of both data warehousing and big data analytics. The cloud is the perfect solution, because it makes it easier to build a robust data warehouse as a central “hub”, and then add other environments that can be...
5 reasons to attend InterConnect 2017

5 reasons to attend InterConnect 2017

February 28, 2017 | by James Kobielus, Big Data Evangelist, IBM
As a business technology professional, you need to manage your company’s information resources 24x7 while juggling concurrent projects and staying up to speed on changes in the technology and in your chosen field. You’re stretched thin but continue to seek out professional learning opportunities...

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