Category: IBMBigData

The latest edition for the Analytics Hero blog series

Any financial services firm using AI must revisit its approach to model risk management. The reason is that AI models are evolving faster than the rules-based models that were standard previously. If AI models perform inadequately, major operational losses can …

Managing financial services model risk in an age of big data and AI Read more »

To enable companies to get the most out of their machine learning, Cloud Pak for Data, IBM’s leading data and AI platform, partners with Datameer to build an end-to-end pipeline that collects, organizes, and analyzes data and helps infuse AI …

Build a complete data pipeline with IBM Cloud Pak for Data and Datameer Read more »

This story is part of Analytics Heroes, a series of profiles on leaders transforming the future of business analytics. Carving out her educational and career paths have led Frances Fiorello to where she is today. She manages to seamlessly blend …

Frances Fiorello: helping students stay on track, and a university reach the top Read more »

Teasing new O’Reilly thought leadership report being published this week. Will need help on 3 images used to drive to blog.

As IBM’s leading platform for data and AI, Cloud Pak for Data integrates seamlessly with MongoDB to help data scientists and developers quickly scale the ladder to AI.

Cloud Pak for Data, IBM’s leading data and AI platform, partners with Cockroach to solve multicloud and compliance challenges so organizations can scale their data strategies across the globe.

Let’s be honest: no one wakes up in the morning excited to go through a procurement process. This reaction can be particularly true where data management is concerned. When quick responses to market changes are necessary, it’s essential to be …

Transforming data management procurement into a fun practice Read more »

Cloud Pak for Data, IBM’s leading data and AI platform, partners with Lightbend to empower developers to quickly iterate and deliver applications that maximize business value.

AutoAI, a feature of IBM Watson Studio, helps application developers and data scientists work in concert to increase yields for model and app investments, and orchestrate ModelOps with DevOps.