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US Open heralds new era of fan engagement with watsonx and generative AI

IBM Journey to AI blog

Year after year, IBM Consulting works with the United States Tennis Association (USTA) to transform massive amounts of data into meaningful insight for tennis fans. This year, the USTA is using watsonx , IBM’s new AI and data platform for business.

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Examples of IBM assisting insurance companies in implementing generative AI-based solutions  

IBM Journey to AI blog

With a strong focus on AI across its portfolio of products and services, IBM continues to be an industry leader in AI-related capabilities. IBM® watsonx ™ AI and data platform, along with its suite of AI assistants, is designed to help scale and accelerate the impact of AI using trusted data throughout the business.

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Transforming customer service: How generative AI is changing the game

IBM Journey to AI blog

With the recent launch of watsonx, IBM’s next-generation AI and data platform, AI is being taken to the next level with three powerful components: watsonx.ai, watsonx.data and watsonx.governance. is a studio to train, validate, tune and deploy machine learning (ML) and foundation models for Generative AI.

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MakeBlobs + Fictional Synthetic Data, Adding Data to Domain-Specific LLMs, and What Tech Layoffs…

ODSC - Open Data Science

8 Tools to Protect Sensitive Data from Unintended Leakage In order to protect themselves from unintended leakage of sensitive information, organizations employ a variety of tools that scan repositories and code continuously to identify the secrets that are hard-coded within.

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Foundational models at the edge

IBM Journey to AI blog

These include data ingestion, data selection, data pre-processing, FM pre-training, model tuning to one or more downstream tasks, inference serving, and data and AI model governance and lifecycle management—all of which can be described as FMOps. IBM watsonx consists of the following: IBM watsonx.ai

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AI Factories Are Redefining Data Centers and Enabling the Next Era of AI

NVIDIA

Storage and Data Platforms Data fuels AI applications, but the rapidly growing scale and complexity of enterprise data often make it too costly and time-consuming to harness effectively. To thrive in the AI era, enterprises must unlock the full potential of their data.

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