Remove Data Platform Remove DevOps Remove Natural Language Processing
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How IBM Consulting ushered the US Open into a new era of AI innovation with watsonx

IBM Journey to AI blog

This year, innovation at the US Open was facilitated and accelerated by watsonx , IBM’s new AI and data platform for the enterprise. . “We need to constantly innovate to anticipate fans’ needs and delight them with new experiences,” says Kirsten Corio, Chief Commercial Officer at the USTA.

DevOps 164
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Foundational models at the edge

IBM Journey to AI blog

Large language models (LLMs) are a class of foundational models (FM) that consist of layers of neural networks that have been trained on these massive amounts of unlabeled data. Large language models (LLMs) have taken the field of AI by storm. IBM watsonx consists of the following: IBM watsonx.ai

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Top Predictive Analytics Tools/Platforms (2023)

Marktechpost

A few automated and enhanced features for feature engineering, model selection and parameter tuning, natural language processing, and semantic analysis are noteworthy. The platform makes collaborative data science better for corporate users and simplifies predictive analytics for professional data scientists.

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Machine Learning Operations (MLOPs) with Azure Machine Learning

ODSC - Open Data Science

Data Estate: This element represents the organizational data estate, potential data sources, and targets for a data science project. Data Engineers would be the primary owners of this element of the MLOps v2 lifecycle. The Azure data platforms in this diagram are neither exhaustive nor prescriptive.

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Definite Guide to Building a Machine Learning Platform

The MLOps Blog

” — Isaac Vidas , Shopify’s ML Platform Lead, at Ray Summit 2022 Monitoring Monitoring is an essential DevOps practice, and MLOps should be no different. Checking at intervals to make sure that model performance isn’t degrading in production is a good MLOps practice for both teams and platforms.

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How Fastweb fine-tuned the Mistral model using Amazon SageMaker HyperPod as a first step to build an Italian large language model

AWS Machine Learning Blog

Claudia Sacco is an AWS Professional Solutions Architect at BIP xTech, collaborating with Fastwebs AI CoE and specialized in architecting advanced cloud and data platforms that drive innovation and operational excellence. Andrea Policarpi is a Data Scientist at BIP xTech, collaborating with Fastwebs AI CoE.