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Authors: Pat O’Sullivan and Julie Forgo Before an enterprise can plan a governance strategy, it must start by making sure that people in the organization are quite literally speaking the same language. One way to do this is to develop a list of industry terms to use as a standardized...
Authors: Kashif Hafeez , Julie Forgo Following the implementation of data regulations such as GDPR and CCPA, organizations got serious about Data Governance, learning to safeguard private and sensitive data. IBM was there to support the implementation of data governance strategies with IBM...
Authors: Mary O'Neill, Julie Forgo The IBM Knowledge Accelerators provide a pre-defined set of data classes in an organized category hierarchy, to assist organizations who deploy IBM Knowledge Catalog with data classification, specifically in the analysis and classification of data, and...
Authors: Karl Hegarty , Sébastien Marchand , Julie Forgo Build on the business terminology you need for your enterprise governance framework by using IBM Knowledge Catalog with a data modeling tool to automate and manage lineage assignments. Organizations who develop enterprise logical...
Authors: Susan Cotter, Pat O'Sullivan, Julie Forgo Managing data governance compliance for financial services regulations can be a daunting task. Leverage the tools provided with IBM Knowledge Catalog to implement and accelerate your governance strategy. Start with a predefined business...
Authors: Paul Keogh, Carol O'Donohoe, Julie Forgo Managing compliance for the ever-changing landscape of data privacy legislation is already a challenge for any organization. Enterprises want to maximize the value of their data assets while adhering to governance requirements. The challenge...
Generative AI has revolutionized technology in recent years, transforming numerous aspects of our lives, from creative content generation to problem-solving in fields such as medicine, finance, and manufacturing. Advancements from IBM watsonx to ChatGPT have propelled this field forward, and the...
This blog post gives an overview of the code experience for data scientists in Watson Studio on Cloud Pak for Data 4.6. We cover the new improved VS Code Desktop integration, JupyterLab- and RStudio- integration. VS Code desktop integration lets data scientists use a familiar IDE to run and...
If you play fantasy football, you are no stranger to the concept of data-driven decision making. Every week during football season, an estimated 60 million Americans pore over player statistics, point projections, and trade proposals, looking for that elusive insight that will guide their roster...
IBM Planning Analytics is a fantastic product. We all love it! There is one primary reason why it continues to be so successful, I want to write about today. It is the openness of the product. You can connect to your TM1 database with various frontends besides the ones from IBM. You...