Blogs

Like a gym membership, data has no value unless you use it

Like a gym membership, data has no value unless you use it

September 27, 2016 | by Harriet Fryman, Vice President of Growth, IBM Analytics, IBM
When we look at all the uses of data organizations can embark upon, they fall into four main exercise groups of increasing benefit. Let’s go through each in turn and assess where your organization is in its journey to a healthier business.
Apply good data science to outthink competitors’ marketing

Apply good data science to outthink competitors’ marketing

September 26, 2016 | by Alex Liu, Chief Data Scientist, Analytics Services, IBM
Many marketing concerns have seen the light when it comes to the application of big data analysis as a means of outthinking the competition. Discover three best practices for implementing big data analytics for good data science in marketing initiatives.
Cognition and the future of marketing

Cognition and the future of marketing

September 26, 2016 | by Courtney Kay, Managing Director, Brand Publis
A recent stop on the IBM outthink tour 2016 punctuated the evolution of cognitive learning systems and their implications for marketing and the delivery of customer experiences that foster retention and loyalty. See how cognitive capabilities are being incorporated into the fabric of everyday job...
5 reasons data engineers are attending IBM Insight at World of Watson

5 reasons data engineers are attending IBM Insight at World of Watson

September 22, 2016 | by James Kobielus, Big Data Evangelist, IBM
IBM Insight at World of Watson 2016 has oodles of opportunities for data engineers to enrich their skill sets with a bevy of best practices, peers to network with, pointers and tips to discover, sessions to attend and more. Consider five key reasons to get the green light from your organization to...
5 reasons developers are attending World of Watson

5 reasons developers are attending World of Watson

September 20, 2016 | by Jason Burns, Sr. Social Media Strategist, IBM
As a developer, you must deliver on your projects while staying up to speed on changes. That’s a tough balance, considering how stretched you already on the job and how quickly the field is evolving. That’s where IBM World of Watson enters the picture.
Next-generation data science: Open analytics ecosystems

Next-generation data science: Open analytics ecosystems

September 19, 2016 | by James Kobielus, Big Data Evangelist, IBM
Open data science initiatives can be a revolutionary force for innovation that spans diverse industries. And that force comes from the people in different roles and with various skill sets who use open source data science tools to develop and deploy new designs for working and living. Discover why...
A developer's take: Using Hadoop in the cloud to fail fast

Using Hadoop in the cloud to fail fast

September 15, 2016 | by Andrea Braida, Portfolio Marketing Manager, IBM
Chris Snow, a data and application architect, enjoys helping customers with their data architectures and is working extensively on an open source app project in his spare time. Hear what Snow has to say about his IT experience spanning several industries, his current efforts with customers and his...
Four reasons to adopt a data warehouse for private cloud

Four reasons to adopt a data warehouse for private cloud

September 13, 2016 | by Stephanie Caputo, Digital Marketing, IBM Analytics, IBM
If you’re looking to make your business data-driven, then you already know the paramount importance of modernizing your data architecture and its response capabilities. Accordingly, in your search for the ideal approach to delivering analytics for decision making, have you considered data...
Next-generation data science: Acceleration for team productivity

Next-generation data science: Acceleration for team productivity

September 12, 2016 | by James Kobielus, Big Data Evangelist, IBM
The productivity of data science teams—often challenged by access and formatting minutiae—can be enhanced by automating many of the manual tasks these teams need to process. Take a peek inside the mind of a data scientist, and see how acceleration of the data science development pipeline can boost...
Collaborate to foster cognitive disruption

Collaborate to foster cognitive disruption

September 9, 2016 | by James Kobielus, Big Data Evangelist, IBM
The importance of data science expertise, techniques and tools in a world rapidly employing advanced cognitive systems cannot be understated. Learn more about how business analysts, data scientists, data engineers, application developers and other professionals with analytical skills sets are using...

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