Blogs

Case in point: Verizon’s cognitive journey and the customer experience

December 15, 2016 | by Preetam Kumar, Product Marketing Manager, IBM Analytics, IBM
Without question, our lives are very different from only a couple decades ago, thanks in part to some pretty amazing technology advances including smartphones and other devices, mobile apps, an ever-growing array of social channels and more. Take a look at how one telecommunications organization...
Machine learning: The big draw at a big Beijing, China event

Machine learning: The big draw at a big Beijing, China event

December 12, 2016 | by Steve Moore, Senior Story Strategist, IBM
One thing that a recent event in Beijing, China confirmed is there’s no shortage of interest in machine learning for developers in that region. Take a look at snapshots of event highlights featuring rich content on artificial intelligence, cognitive capabilities, machine learning and more presented...
Big data and analytics trends in 2017: James Kobielus’s predictions

Big data and analytics trends in 2017: James Kobielus’s predictions

December 5, 2016 | by James Kobielus, Big Data Evangelist, IBM
IBM expert James Kobielus offers his annual predictions for the new year that’s right around the corner. See what trends will define big data and analytics in 2017 and beyond.
Data industry experts offer 2017 predictions throughout December

Data industry experts offer 2017 predictions throughout December

December 1, 2016 | by James Kobielus, Big Data Evangelist, IBM
Wondering what’s in store for the data industry during the upcoming year? Tune into a live chat to find out what leading industry professionals are predicting for 2017 and beyond.
BigInsights for Hadoop Basic plan is here!

Spin up Hadoop and Spark clusters in minutes on a reliable foundation

November 18, 2016 | by Rohan Vaidyanathan, Senior Offering Manager, IBM BigInsights, IBM
We are excited to announce the GA of the BigInsights for Apache Hadoop Basic plan on Bluemix! Over the last three months, the service has been available as a public beta. It was encouraging to see the participation and feedback during the beta. The feedback has been valuable in improving the...
Internet of Things: A continuum of change with opportunities galore

Internet of Things: A continuum of change with opportunities galore

November 17, 2016 | by Krish Krishnan, President, Sixth Sense Advisors Inc.
The Internet of Things continues to be a land of opportunity in so many areas. Take a look at this overview of steps to innovation and success factors along with the risks and pitfalls to avoid in your Internet of Things journey.
Dynamic duo: Big data and design thinking

Dynamic duo: Big data and design thinking

November 9, 2016 | by Karan Sachdeva, Sales Leader Big Data Analytics APAC, IBM
Big data and design thinking share some common core principles for creating highly connected, meaningful business and customer user experiences. See why organizations worldwide are realizing the magic of combining big data with design thinking to generate value for powerful business use cases.
Connecting with data at Spark Summit Europe 2016

Connecting with data at Spark Summit Europe 2016

November 1, 2016 | by Margriet Groenendijk, Developer Advocate, Cloud Data Services, IBM
Discover some of the latest and greatest developments in the world of Apache Spark in this retrospective on Spark Summit Europe 2016. When you do, find out how modern developers are connecting their data sources to Spark in exciting ways, and learn how the cloud is providing access to Spark-powered...
What it really takes to be a data scientist

What it really takes to be a data scientist

October 18, 2016 | by Ted Fischer, Senior Offering Manager, SPSS Modeler, IBM
Data science may be the en vogue profession descriptor for what many who work with statistics and statistical modeling do, but being a data scientist in this era requires a unique set of skills and experiences. See why data science may not be a crystal ball capable of predicting all events, but how...
Spark-based machine learning for capturing word meanings

Spark-based machine learning for capturing word meanings

October 14, 2016 | by Jorge Castañón, Lead Data Scientist, IBM
Historical application of vector mathematics and the study of unstructured text data can be an important approach to understanding and actualizing the value of data. See how mathematical exploration of text data can unearth insight that translates into enhanced decision making.

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