Blogs

Unstructured and structured data versus repetitive and non-repetitive data

Unstructured and structured data versus repetitive and non-repetitive data

July 25, 2016 | by W.H. Inmon, Owner, Forest Rim Technology
Maybe classifying data as structured or unstructured isn’t so simple. What is structured to some may not be structured to others and vice versa. When it comes to the business value of data, consider another way to look at data—whether it is repetitive data or non-repetitive data.
CIO Insights: The culture of data—Putting data to work for the business

CIO Insights: The culture of data—Putting data to work for the business

July 20, 2016 | by Nancy Hensley, Director of Offering Management, IBM Analytics, IBM
When I spoke with Derek Schoettle, General Manager, Analytics Platform Services, the subject of open source capabilities came up a few times. Data is going to change the culture of business, and in fact it becomes the culture when you truly embrace it.
CIO Insights: One CIO’s priorities—an agile culture and a big windshield

CIO Insights: One CIO’s priorities—an agile culture and a big windshield

A conversation with Jeff Smith, IBM

June 28, 2016 | by Paula Wiles Sigmon, Program Director, Analytics Platform Marketing, IBM
Insights from CIOs can reveal a lot about the industries in which they operate, and hearing from IBM’s CIO is no exception. Check out these highlights from a recent podcast featuring Jeff Smith, CIO at IBM, who offers a glimpse at his idea of focusing on culture, a story of transformation, the CIO’...
How can data scientists collaborate to build business applications?

How can data scientists collaborate to build better business applications?

June 10, 2016 | by James Kobielus, Big Data Evangelist, IBM
We asked five social influencers how data scientists can collaborate to build better business applications. See what they had to say.
End-to-end analytics in the cloud

End-to-end analytics in the cloud

June 9, 2016 | by John J. Thomas, Distinguished Engineer and Director, IBM Competitive Project Office, IBM
Deriving actionable insight from data and analytics is shifting to unified, cloud-based platforms that can be used by a variety of analysis personas. Take a look at a national retail chain scenario demonstrating how a comprehensive portfolio of end-to-end analytics in the cloud can provide the...
Highlights from the Apache Spark Maker Community Event

Highlights from the Apache Spark Maker Community Event

June 8, 2016 | by James Kobielus, Big Data Evangelist, IBM
Stay on the cutting edge with these highlights from the Apache Spark Maker Community Event as you sit in on interviews with industry leaders and explore the power of the IBM Data Science Experience.
Experiencing deeper productivity in open data science

Experiencing deeper productivity in open data science

June 7, 2016 | by James Kobielus, Big Data Evangelist, IBM
Reimagine the data science experience as an open experience with this IDE, which aims to facilitate a full range of development tasks, from data acquisition and data mining to prototyping and programming. When you do, discover how you can use Apache Spark and R to pursue open analytics by building...
Learning to fly: How to predict flight delays using Spark MLlib

Learning to fly: How to predict flight delays using Spark MLlib

June 2, 2016 | by David Taieb, Architect, IBM Cloud Data Services, IBM
Flight delays because of weather are inevitable for frequent flyers and infrequent travelers alike. Fortunately, we are living in an era in which applications such as the flight predictor app can be quickly and cost-effectively designed, built and tested to stay abreast of useful information for...
Innovative business applications: The disruptive potential of open data science

Innovative business applications: The disruptive potential of open data science

June 1, 2016 | by James Kobielus, Big Data Evangelist, IBM
A world that grows increasingly complex calls for disruptive innovation in an open, collaborative environment. See how open data science provides an ecosystem of expertise, skill sets and advanced open source data science tools that fuels collaborative creativity in the development and deployment...
See your customers clearly with analytics for JSON

See your customers clearly with analytics for JSON

May 24, 2016 | by Larry Weber, Program Director, Digital Experience, IBM
How do you handle your semi-structured data? In this whitepaper from IBM Cloud Data Services, find out how keeping your data warehouse on the cloud can help you gain the competitive advantage by freeing valuable resources.

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