Blogs

Top analytics tools in 2016

Top analytics tools in 2016

June 10, 2016 | by Gaurav Vohra, CEO & Co-Founder, Jigsaw Academy, The Online School of Analytics
Join us for a look at what’s on the horizon in data analytics, discovering how a broad array of tools aims to change the way we do—and think about—data science.
Law enforcement turns to cloud computing for streamlined data management

Law enforcement turns to cloud computing for streamlined data management

June 9, 2016 | by Phil Britt, Financial Services Writer
Law enforcement and emergency services are swiftly moving to cloud computing solutions to improve communication, collaboration and record storage, as well as to gain access to criminal justice information systems (CJIS).
Three ways to leverage the private cloud for flexible data warehousing

Three ways to leverage the private cloud for flexible data warehousing

June 9, 2016 | by Matthias Funke, Data Warehousing Offering Management and Strategy Leader, IBM
The choice to flex a data warehouse on a private cloud is a personal one. It offers benefits in three key areas: enhanced control over data and apps, better management and monitoring, and custom tailoring that is built to address specific user requirements and self-service applications.
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...
Improving quality of life with Spark-empowered machine learning

Improving quality of life with Spark-empowered machine learning

June 2, 2016 | by Michal Malohlava, Software Engineer, H2O.ai
Machine learning is finding its way into a variety of applications. Discover an open source machine learning platform that combines the data processing power of Spark with powerful machine learning algorithms courtesy of the H2O platform to tackle challenges technologists face when applying machine...
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...
Four reasons why hybrid cloud solutions are here to stay

Four reasons why hybrid cloud solutions are here to stay

June 1, 2016 | by Misty Ahmadi, Content Marketing Manager, ECM, IBM
If you’ve been wondering how to heighten your organization’s collaborative capabilities, then dive into the world of cloud environments, exploring the wide range of benefits that hybrid cloud solutions bring to the modern business environment.
Chief Data Officers: Navigating a disruptive, data-intensive world

Chief Data Officers: Navigating a disruptive, data-intensive world

June 1, 2016 | by Rebecca Shockley, Business Analytics Global Research Leader for the IBM Institute for Business Value, IBM
As the steward of data—arguably an organization’s most strategic asset—the chief data officer (CDO) helps organizations outperform their completion. And yet, turnover among CDOs is significantly high in many organizations because they likely do not clearly define the role. Take a look at recent...