See how the new IBM Cloud Pak for Data System is an all-in-one cloud-native Data and AI platform, in a box, that enables to you collect, organize, and analyze data with unprecedented simplicity and agility.
Learn more about IBM Cloud Pak for Data here: https://ibm.co/2VJp6En
Read the Forrester Report to learn how to unlock the power of your data: https://ibm.co/2GNE3R2
Dive deeper into what AI features power IBM Db2. See how machine learning is able to improve query results and accuracy, even when data resides outside of initial search parameters.
Get more value out of unstructured data. See how IBM Watson incorporates powerful natural language processing (NLP) capabilities to help you identify keywords, analyze sentiment, and enrich entities to discover deep insights in your data.
Learn more: https://ibm.co/2VOBRl2
Get started for free: https://ibm.co/2LAxxBV
Data lake governance ensures your data lake contains clean, relevant data from structured and unstructured sources that can easily be found, accessed, managed, and protected. Watch the video and hear about the 4 steps to take to avoid data lake failure and deliver business-ready data. To learn more, visit https://ibm.co/2wrslps.
The AI Explainability 360 Toolkit from IBM Research is an open-source library for data scientists and developers. It includes algorithms, guides, and tutorials to bring explainability to AI, thereby making it more trusted.
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: http://ibm.biz/bd-cloud-learn
Get started for free on IBM Cloud: http://ibm.biz/bd-cloud-free
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: https://ibm.co/AccelerateAIApp
Learn more about what you can do with IBM Db2: https://ibm.co/2FK57zq
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 https://ibm.co/2Xbk2tH
Discover the future vision of Db2 as it continues to evolve, and how it can empower your business to unlock new value from data: https://ibm.co/2VSIGC1
Modernize your information architecture with AI: https://ibm.co/2WwMvtJ
Learn how you can accelerate delivery of your AI application with Db2: https://ibm.co/AccelerateAIApp
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: http://ibm.biz/cloud-dl-learn-hub
Get started for free on IBM Cloud: http://ibm.biz/dl-cloud-account-register
Accelerate your journey to AI with IBM Cloud Private for Data.
Try Free Edition of the Big SQL sandbox https://www.ibm.com/us-en/marketplace...
Start here if you're new to Big SQL and want that 50,000 ft. view. Understand the specific problems we're trying to solve with this technology.
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)
Learn how IBM Watson works and has similar thought processes to a human.
