AI Modeling ETL Metadata 
AI News
SEPTEMBER 29, 2024
Selecting a database that can manage such variety without complex ETL processes is important. AI models often need access to real-time data for training and inference, so the database must offer low latency to enable real-time decision-making and responsiveness.
IBM Journey to AI blog
MARCH 14, 2024
The solution: IBM databases on AWS To solve for these challenges, IBM’s portfolio of SaaS database solutions on Amazon Web Services (AWS), enables enterprises to scale applications, analytics and AI across the hybrid cloud landscape. This allows you to scale all analytics and AI workloads across the enterprise with trusted data.
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AWS Machine Learning Blog
JANUARY 7, 2025
It is critical for AI models to capture not only the context, but also the cultural specificities to produce a more natural sounding translation. When using the FAISS adapter (vector search), translation unit groupings are parsed and turned into vectors using the selected embedding model from Amazon Bedrock.
AWS Machine Learning Blog
OCTOBER 11, 2024
Analyze the events’ impact by examining their metadata and textual description. OpsAgent is supported by two other AI model endpoints on Amazon Bedrock with different knowledge domains. The ask-aws endpoint uses the Amazon Titan model and Amazon Kendra as the RAG source. The chatbot handles chat sessions and context.
IBM Journey to AI blog
JULY 3, 2024
By 2026, over 80% of enterprises will deploy AI APIs or generative AI applications. AI models and the data on which they’re trained and fine-tuned can elevate applications from generic to impactful, offering tangible value to customers and businesses.
IBM Journey to AI blog
JULY 17, 2023
is our enterprise-ready next-generation studio for AI builders, bringing together traditional machine learning (ML) and new generative AI capabilities powered by foundation models. With watsonx.ai, businesses can effectively train, validate, tune and deploy AI models with confidence and at scale across their enterprise.
DECEMBER 11, 2024
The SageMaker Unified Studio provides the following quick access menu options from Home : Discover : Data catalog Find and query data assets and explore ML models Generative AI playground Experiment with the chat or image playground Shared generative AI assets Explore generative AI applications and prompts shared with you.
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