Managing data for AI and analytics at scale

Managing Data for AI and Analytics at Scale with an Open Data Lakehouse Approach: IBM watsonx.data whitepaper
(Image credit: IBM)

It’s no secret that the amount of data-driven enterprises has exploded over the past 20 years. Unfortunately, data intelligence for these enterprises is difficult due to a lack of observability, lineage information, and catalogs. 


Lack of observability leads to fragmented and incomplete data that make analysis weak at every level. IBM watsonx.data supports a range of standard technologies for moving, handling, and accessing data. 

This eBook explores how companies can manage data used for broad-based AI. It then dives into analytics use cases - in the context of a data warehouse and the more dynamic context of a data lake.

Download now 

Provided by IBM

ITPro

ITPro is a global business technology website providing the latest news, analysis, and business insight for IT decision-makers. Whether it's cyber security, cloud computing, IT infrastructure, or business strategy, we aim to equip leaders with the data they need to make informed IT investments.

For regular updates delivered to your inbox and social feeds, be sure to sign up to our daily newsletter and follow on us LinkedIn and Twitter.