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Retrieval augmented generation (RAG), is one of the most common generative AI solutions that corporations are implementing. RAG is a framework that forces the large language model (LLM) to answer questions based on the documents you feed it to improve the accuracy of the answers. However, most...
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...
For most organizations looking to enhance the management and governance of their data, there is a critical need to ensure that such initiatives also contribute towards addressing their Data Privacy obligations. This is an increasing challenge given the array of new data privacy legislation in...
This blog describes how to build a Data Privacy dashboard that assesses the privacy classification of a data source and identifies areas where additional Data Protection rules might be warranted. #data-highlights-home #Medium
Sachin Prasad, Cloud Pak for Data Chief Product Manager, IBM Claus Huempel, Technical Sales Specialist, Cloud Pak for Data, IBM With the economy slowdown, industries and business are winding down their capex/opex in preparation of impending winter that’s quite evident to come. The Era has...
written by: Lukasz Cmielowski, PhD , Thomas Parnell In Cloud Pak for Data 4.6, Watson Studio AutoAI is introducing support for large tabular data . Data sets up to 100 GB are consumed using the combination of ensembling and incremental learning. Adoption of ...
This article shows how to build a machine learning model on a Watson Studio platform running on IBM Cloud Pak for Data (CPD). You can then export the model and deploy it on Amazon Sagemaker on Amazon Web Server (AWS). You can leverage both platforms to bring a machine learning model from...
I am proud to announce that today we reached another milestone in the Cloud Pak for Data journey — today v4.6 is generally available. This is our second feature release in 2022, only 5 months after the release of 4.5. Churning out a high quality feature releases in such short span is no game,...
An executive’s worst, and far too common, nightmare. Days before submitting quarterly earnings, the revenue analysis from the sales team and the product team are at odds. The analyst from each team insists their dashboard paints the accurate picture as they made no mistakes when compiling the...