Blogs

Big Replicate: A big insurance policy for your big data

Big Replicate: A big insurance policy for your big data

April 18, 2017 | by Andrea Braida, Portfolio Marketing Manager, IBM
Dwaine Snow is a Global Big Data and Data Science Technical Sales Manager at IBM. He has worked for IBM for more than 20 years, focusing on relational databases, data warehousing, and the new world of big data analytics. He has written eight books and numerous articles on database management, and...
What to do with all that machine learning data

What to do with all that machine learning data

April 18, 2017 | by Susara van den Heever, Product Manager – IBM Decision Optimization, IBM
Many businesses are starting to notice that without converting the masses of new data generated by the Machine Learning (ML) wave to Smarter Decisions, the impact falls short of expectations.
Building a cognitive data lake with ODPi-compliant Hadoop

Building a cognitive data lake with ODPi-compliant Hadoop

April 7, 2017 | by Andrea Braida, Portfolio Marketing Manager, IBM
For today’s data scientists and data engineers, the data lake is a concept that is both intriguing and often misunderstood. While there are many good resources about data lakes on ibm.com and other websites, there is also a lot of hype and spin. As a result, it can be difficult to get a clear...
Analytics and the cloud: NoSQL databases

Analytics and the cloud: NoSQL databases

Schemaless databases and the role they play

April 6, 2017 | by Steven Lockwood, Executive Information Architect, IBM
Although NoSQL database technology has been around for a long time (before SQL actually), not until the advent of Web 2.0, when companies such as Google and Amazon began using the technology, did NoSQL’s popularity really take off. Market Research Media forecasts NoSQL Market to be $3.4 Billion by...
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?
 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...
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...

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