Blogs

New hyper-fast data ingestion enables smarter decisions

New hyper-fast data ingestion enables smarter decisions

March 16, 2018 | by Steve Astorino, Vice President, Development, IBM Private Cloud Analytics Platform
Human beings tend to filter out events they deem unimportant. They can only process so much at any given time. Computer systems, however, must be able to handle a massive number of events in real time or near-real time to help support a wide range of applications.
Dispelling myths about the IBM Integrated Analytics System

Dispelling myths about the IBM Integrated Analytics System

March 15, 2018 | by Hemant Suri, Senior Offering Manager, IBM
There are some misleading messages in the market about the IBM Hybrid Data Management and its data warehouse strategy. So here’s some clarification.
Immersive Insights: Better data through AR

Immersive Insights: Better data through AR

Q&A with Ben Resnick

March 14, 2018 | by Jennifer Clemente, IBM
Augmented reality (AR) and augmented intelligence systems such as Watson are breaking data outside the confines of a two-dimensional monitor and putting them into a three-dimensional visualization format. Big Data and Analytics Hub spoke with IBM AR designer Ben Resnick about what’s next for...
3 signs your database may be out of date

3 signs your database may be out of date

March 12, 2018 | by James Honey, Product Marketing Manager – Db2 database, IBM
For decades, a company’s database usually had a single job: operating as either an operational — also known as transactional — database or acting as a data warehouse. It was also typically deployed in a single location: on premises. Today, companies not only want more from their databases, but also...
Will data management's trends collide or converge in 2018?

Will data management's trends collide or converge in 2018?

March 1, 2018 | by Daniel Hernandez, VP, Offering Management, Analytics, IBM
While the proliferation of data will be readily apparent, deciding what to do in response will be less straightforward. The majority of workloads currently sit in traditional, on-premises environments but we’ll see many of them move to private and public clouds over the next over the next five...
Databases that learn

Databases that learn

Applying the power of Neural Networks to SQL processing in Db2

February 22, 2018 | by Sam Lightstone, IBM Fellow, Analytics, IBM
Machine learning is being used at the heart of next- generation methods for self-driving cars, facial recognition, fraud detection and much more. At IBM, we’re applying machine learning methods to SQL processing so databases can literally learn from experience.
Does your data deserve a private cloud?

Does your data deserve a private cloud?

February 19, 2018 | by Mukta Singh, Program Director, Hybrid Data Management Offering Management, IBM
Your business and your data are both unique. For that reason, your enterprise architecture must also be tailored to fit the exact needs of your business. When data is involved, you want choices, not trade offs. And, more importantly, you want your solutions to build upon and complement one another.
3 principles for climbing the AI ladder with IBM Governed Data Lake

3 principles for climbing the AI ladder with IBM Governed Data Lake

February 12, 2018 | by Karan Sachdeva, Sales Leader Big Data Analytics APAC, IBM
Recently, we capped off the first leg of the “Enabling digital business with an IBM governed data lake” road shows in the Asia Pacific region with our customers and partners.
5 ways to turn data into insights and revenue with cognitive content analytics

5 ways to turn data into insights and revenue with cognitive content analytics

February 9, 2018 | by Trips Reddy, Senior Content Manager, IBM Watson
Many companies are expected to pursue data management, advanced analytics and cognitive computing to stay competitive and drive revenue. Except for a handful of leaders such as LinkedIn, Netflix, Nordstrom, Target and Verizon, most companies are still struggling to close the gap between data...
Are critical business insights hiding inside your unstructured data?

Are critical business insights hiding inside your unstructured data?

IBM Content Analytics can help

February 5, 2018 | by Akiko Murakami, Software Engineer, Architect and Lab Advocate of Watson Explorer, IBM Japan
The search function is a very powerful tool, assuming you have concrete keywords or concepts to find in your data. And that does not even take into account the size of the information you might be searching.