Blogs

Lean data science with Apache Spark

Lean data science with Apache Spark

May 25, 2016 | by Aaron Merlob, Executive Education Lead, Galvanize
One modern tool that supports a data-science-as-start-up philosophy is Apache Spark. The community behind Spark seems to be building the tool using these lean product principles.
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.
Boosting the productivity of the next-generation data scientist

Boosting the productivity of the next-generation data scientist

May 24, 2016 | by James Kobielus, Big Data Evangelist, IBM
Use open-source tools to supercharge the data science lifecycle, giving data science teams a boost as they work to provide compelling results in the complex team environments that mark modern corporations. Learn how you can make open data science an ongoing part of your business environment when...
Courting your customer

Courting your customer

May 23, 2016 | by Misty Ahmadi, Content Marketing Manager, ECM, IBM
Avoid the productivity drain and customer frustration caused by content fragmentation. Keep the courtship period with customers alive by ensuring employees have unfettered access to enterprise content that can keep the customer experience harmonious. See how in a new IBM Enterprise Content...
InsightOut: The case for open metadata and governance

InsightOut: The case for open metadata and governance

May 20, 2016 | by Mandy Chessell, Distinguished Engineer, IBM Analytics Group CTO Office, IBM
As the data used by an enterprise grows in size, variety and importance, it is no longer acceptable that the gathering and maintenance of metadata remains an under-funded and neglected afterthought for data-driven organizations. Metadata management needs to become a key focus of an organization's...
The future of content is customer-centric

The future of content is customer-centric

May 19, 2016 | by Toby Bell, Marketing and Offering Strategy Lead, IBM
A marked shift toward business participation in technology conversations couldn’t be more evident than it is to an industry analyst. Gain an analyst’s perspective on how customer-facing, content-rich processes for achieving customer loyalty are now the order of the day.
What is text analytics?

What is text analytics?

Making the complex simple

May 19, 2016 | by Mike Ferguson, Managing Director of Intelligent Business Strategies Limited, Intelligent Business Strategies Limited
Whether organizations want to extract customer data beyond names and addresses from unstructured data sources; pull specific dates, times or monetary amounts; predict trends from sentiment data; or engage in many other uses, text analytics is the way to go. Learn the details of text analytics, and...
It takes a team: Collaboration and workflow in open data science

It takes a team: Collaboration and workflow in open data science

May 19, 2016 | by James Kobielus, Big Data Evangelist, IBM
Data science takes collaborate teams of data scientists engaging in productive, open data development initiatives that can ensure strong workflow, governance, security and management. See why open environments are revolutionizing the data science landscape.
Spark and R: The deepening open analytics stack

Spark and R: The deepening open analytics stack

May 19, 2016 | by James Kobielus, Big Data Evangelist, IBM
As Spark continues to mature into mainstream adoption in the data science community, the open data analytics stack and open source tools grow more robust, giving data scientists rich core workbenches to develop evermore innovative applications.
Why a cloud first strategy can benefit customers with IBM BigInsights on Cloud

Why a cloud first strategy can benefit customers with IBM BigInsights on Cloud

May 17, 2016 | by Dinesh Nirmal, Vice President, Next Generation Platform, Big Data & Analytics on z, IBM
With BigInsights having established itself as a leader and with IBM focused on a Cloud First Strategy, we saw the opportunity to help customers reduce these capital and management costs, to enable them to focus on running the analytics for business advantage while providing BigInsights on a dynamic...

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