Blogs

CIO Insights: Disrupting the in-home senior care industry

CIO Insights: Disrupting the in-home senior care industry

January 24, 2017 | by Cheri Bergeron, Leader, Customer Engagement & Advocacy, IBM
Elderly care is on tap to be a critical need in the coming decades. See how Caregivers.com is using cloud computing and mobile technologies to provide greater choice for families and higher wages for in-home caregivers.
Social media data and the customer-centric strategy

Social media data and the customer-centric strategy

January 24, 2017 | by Krish Krishnan, President, Sixth Sense Advisors Inc.
The unprecedented evolution of social media data’s influence on business can have tremendous impact on how customers are integrated into organizational goals and practices. See why more organizations than ever are using social media data to take a customer-centric approach to evolving their...

How a global cosmetics company created a solid data foundation

January 23, 2017 | by Douglas Thompson, Executive Architect, IBM
Just as a cosmetics company is focused on the foundation for beauty, many companies regardless of industry are looking to specialize in high-quality presentation of product to consumers. See how one global cosmetics organization took a master data management approach that offers expertise,...
Charting the data lake: Rethinking data models for data lakes

Charting the data lake: Rethinking data models for data lakes

January 16, 2017 | by Pat O'Sullivan, Senior Technical Staff Member, IBM Analytics
Data models for developing data warehouses need to evolve for managing and defining data lakes. This first installment of a blog series on charting the data lake introduces the potential role of data models in data lake environments and how they need to take an active role in defining and managing...
Taking another look at in-database analytics

Taking another look at in-database analytics

January 11, 2017 | by Cuneyt Goksu, zAnalytics Technical Leader - MEA, IBM
Data transformation doesn’t have to mean moving data away from its source. Rather, modern approaches to data transformation offer a range of advantages that can help enhance performance while heightening access to data.
10 expert tips to boost agility with Hadoop as a service

10 expert tips to boost agility with Hadoop as a service

January 11, 2017 | by Andrea Braida, Portfolio Marketing Manager, IBM
In a recent CrowdChat discussion, a group of Hadoop and Spark subject matter experts from the IBM Analytics group discussed using cloud-based Hadoop and Spark services as a lever for business agility. From their contributions we drew ten hot topics and themes for experts in all areas of the big...
2017 outlook for CDOs and CIOs

2017 outlook for CDOs and CIOs

January 4, 2017 | by Jason Burns, Sr. Social Media Strategist, IBM
Now that we’re into the swing of 2017, the time is ripe for the first CrowdChat of 2017 to explore the goals, challenges and strategies that CDOs and CIOs are focused on for their organizations. Get involved and share your thoughts in this kick-off IMB Big Data CrowdChat.
How to build an all-purpose big data engine with Hadoop and Spark

How to build an all-purpose big data engine with Hadoop and Spark

Interview with Rohan Vaidyanathan and Niru Anisetti

January 4, 2017 | by Andrea Braida, Portfolio Marketing Manager, IBM
Some organizations misunderstand the optimized way to use Hadoop and Spark together, primarily because of their complexity. But investing in both technologies enables a broad set of big data analytics and application development use cases. See what Niru Anisetti and Rohan Vaidyanathan have to say...
The Big Data Dudes and the Lost in Las Vegas Mystery feature film

The Big Data Dudes and the Lost in Las Vegas Mystery feature film

January 4, 2017 | by Aaron Ritchie, Big Data Curriculum Developer and Big Data Dude, IBM
Ever hear of the Big Data Dudes? If not, crawl out from under that rock and see what these intrepid big data and analytics heroes are up to in their latest analytics blockbuster, "Big Data Dudes and the Lost in Las Vegas Mystery."
The big data challenge of transformation for the manufacturing industry

The big data challenge of transformation for the manufacturing industry

January 3, 2017 | by M. Ahmad Shahzad, Business Development Executive – Analytics, Industrial Markets, IBM
The manufacturing industry finds itself embroiled in major changes these days, and analytics, cloud-based technologies, the Internet of Things and volumes of data are fueling its metamorphosis. See how manufacturing companies are shifting resources toward value-add processes such as...