Blogs

IBM Cloud Pak™ for Data is a fully-integrated data and AI platform that modernizes how businesses collect, organize and analyze data and infuse AI throughout their organizations. Built on Red Hat® OpenShift® ...

Authors: Sachin Prasad and Malcolm Singh Introducing Cloud Pak for Data version 4.8 The IBM Cloud Pak for Data team is excited to announce the general availability of Cloud Pak for ...

As of April 1 , 2025, IBM will deprecate, and will no longer issue new licenses for, the metadata integration brokers and bridges currently available in IBM InfoSphere® Information Server (IIS) ...

2023 has seen an explosion in AI technologies faster than ever before. Individual web searches for AI ha ve surged dramatically over the past 12 months, 35% of businesses have reported using ...

An AI-driven, unified Governance, Risk, and Compliance (GRC) solution accessible for everyone, everywhere — now available as a Service. IBM® OpenPages® as a Service is a fully managed offering ...

If you don’t know what sensitive data your organization has or who can access it, you run the risk of failing to meet data privacy regulations. It is imperative for organizations to establish an effective ...

If you don’t know what sensitive data your organization has or who can access it, you run the risk of failing to meet data privacy regulations. It is imperative for organizations to establish an effective ...

If you don’t know what sensitive data your organization has or who can access it, you run the risk of failing to meet data privacy regulations. It is imperative for organizations to establish an effective ...

The keynote sessions for today included the Data-specific “Why a Data Lakehouse is the Best Approach for Scaling AI Workloads, Anywhere”, presented Paul Zikopoulos, Vice President, IBM Skills Vitality ...

If your organization is using AI and machine learning models for making crucial decisions, you must ensure the performance, fairness, quality, and explainability of these models. Such rigorous evaluation ...

By Pat O'Sullivan and Michal Szylar As organizations navigate a dynamic data privacy landscape, they need to reckon with sensitive data residing in multiple data sources across the organization. This ...