Big data has been around the past few decades in a traditional form factor of big data systems such as a data warehouse, but starting around the year 2000, Hadoop helped expand these integrated systems to be more open in terms of the data and analytics that could be supported.

Check out this lightboard video with Torsten Steinbach from IBM Cloud as he goes through the evolution of big data and analytics and how serverless technology has made a big impact.

Learn more about data in the cloud:

Get started for free on IBM Cloud:

Discover how migrating from Oracle Database to IBM Db2 transformed the business of Owens-Illinois, a large manufacturer with a global reach and data infrastructure. Benefits such as lower total cost of ownership, faster query performance, and reduced server footprint have now allowed Owens-Illinois to shift their budget and mindset to be more strategically focused.

Learn more about IBM Db2:

Learn more about what you can do with IBM Db2:

In this demo, you will see how easy it is to update sales plans even in the face of constant changes. With IBM Planning Analytics, all plans and forecasts are created and stored in the same application, so changes to one plan will automatically update and flow to other plans.

Learn more at

Discover the future vision of Db2 as it continues to evolve, and how it can empower your business to unlock new value from data:

Modernize your information architecture with AI:


Learn how you can accelerate delivery of your AI application with Db2:


A data lake is a centralized repository that allows you to store a vast amount of raw data in its native format until it is needed. Data-driven businesses often use this storage architecture to get more business value from their data assets.

Check out this quick overview video with Adam Kocoloski as he goes through a data lake architecture and explains how data lakes can empower you to collaborate and analyze data in different ways that will help you make make smarter and faster business decisions.

Learn more about data in the cloud:

Get started for free on IBM Cloud:

Data science is a priority for your businesses, and data science teams are under more pressure than ever to deliver ROI. What does it look like to deliver business value? Watch this example of how a data science team can help multiple departments prepare for an upcoming storm, reducing the financial and operational impact on the company. IBM’s Irina Saburova and Rosie Pongracz will take you through a demonstration of how the Finance, Operations and Fraud departments benefit from the use of a diverse set of tools and techniques.

Video Chapters: 01:28

- Chapter 1 "Use case scenario overview" Duration (2:26) 03:54

- Chapter 2 "Forecasting" Duration (1:40) 05:34

- Chapter 3 "Optimization" Duration (1:47) 07:21

- Chapter 4 "Fraud Detection" Duration (1:34) 08:55

- Chapter 5 "Streamlining procurement and claim management" Duration (1:35) 10:30

- Chapter 6 "Summary" Duration (2:07)

We use Watson Explorer to analyze unstructured text articles from PubMed as part of a machine learning project to study infectious diseases, specifically sepsis. For more information on IBM Watson Explorer, please visit the IBM Marketplace at

Also, be sure to see the companion article on which explains the data science behind this demonstration.

IBM Watson is working with people everywhere. Helping businesses, hospitals, students, educators, athletes and more. In 45 countries and 20 industries, Watson is using data to help people make better decisions and discover ideas.

Get introduced to the IBM Edge Analytics SDK that allows you to enable Edge processing on any device that support Java. This session covers what the SDK is, what features it provides, a summary of the available APIs and a review of APIs leveraged in one of the SDK sample applications. A companion PDF can be downloaded from Edge Analytics Community Page

Page 1 of 2