The combination of Jupyter Notebooks, Apache Hadoop and Apache Spark has become a killer app for data practitioners. It unlocks the ability to explore, visualize and experiment with both structured and unstructured data sets with great ease and efficiency. We spoke recently with Chris Snow at IBM
Automation can be a great solution for highly manual processes, but its implementation has its detractors. Can robotic process automation be successful in providing an artificial intelligence solution that includes machine learning for further streamlining typically manually intensive processes?
Beat the database migration status quo by adopting IBM Bluemix Lift, a self-service ground-to-cloud database migration offering that you can use to boost the speed, reliability and security of your database migration.
IBM extended Big SQL, which was formerly exclusive to the IBM Open Platform (IOP), to the Hortonworks Data Platform (HDP) in September 2016. I recently spoke with Berni Schiefer, an IBM fellow in the IBM Analytics group, to learn more about the offering and the ongoing IBM focus on SQL.
Historical application of vector mathematics and the study of unstructured text data can be an important approach to understanding and actualizing the value of data. See how mathematical exploration of text data can unearth insight that translates into enhanced decision making.
Hear from Nancy Hensley, director of offering management for IBM Analytics who speaks with Rob Thomas, VP of development for analytics on the subject of business transformation and a discussion of the data maturity curve.
Nancy Hensley, director of offering management for IBM Analytics speaks with Rob Thomas, vice president of development for analytics, at IBM, on the subject of business transformation, leading to a discussion of the data maturity curve.
IBM Bluemix Lift makes it easy to quickly, securely and reliably migrate your database from on-premises data centers to an IBM Bluemix cloud data property. Try IBM Bluemix Lift, and read more from the offering manager.
Although formerly exclusive to the IBM Hadoop Platform, the extension of Big SQL to the Hortonworks Data Platform (HDP) meets the challenge of complex data warehousing queries on Hadoop. See what Paul Yip, worldwide product strategy for Hadoop and Spark at IBM, has to say about what this transition
Tune in to hear IBM’s David Jenness and mobile development expert Matt Brooke-Smith describe the enterprise content management (ECM) sessions you’ll want to attend during IBM Insight at World of Watson 2016 as you take your ECM capabilities into the mobile arena.
In this insightful discussion between IBM’s Toby Bell and IBM Analytics cloud solutions and services leader Roger Letalien, learn what IBM Insight at World of Watson 2016 has to offer you as you move your enterprise content management capabilities forward into the cloud.
Organizations need to get high value from streaming data to gain new clients and capitalize on market opportunities. Discover how IBM Streams is best suited for use cases that has the need for high speed and low latency.
Database migration is not any database administrator’s idea of fun—not even close. By far, the database migration status quo can be the least interesting and most dreaded part of the job. Check out an advanced self-service, ground-to-cloud database migration offering for handling database migration
Unstructured information continues to grow as never before, with a preponderance of it being stored and managed by large enterprises. Much of this data is not really well understood, and its management and governance remain a formidable challenge. See how creating trusted and collaborative