Remove Automation Remove Data Platform Remove Prompt Engineering
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Generative AI use cases for the enterprise

IBM Journey to AI blog

Automate tedious, repetitive tasks. While advanced models can handle diverse data types, some excel at specific tasks, like text generation, information summary or image creation. The result will be unusable if a user prompts the model to write a factual news article. Best practices are evolving rapidly.

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Advancing AI trust with new responsible AI tools, capabilities, and resources

AWS Machine Learning Blog

With the launch of the Automated Reasoning checks in Amazon Bedrock Guardrails (preview), AWS becomes the first and only major cloud provider to integrate automated reasoning in our generative AI offerings. Click on the image below to see a demo of Automated Reasoning checks in Amazon Bedrock Guardrails.

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Exploring the AI and data capabilities of watsonx

IBM Journey to AI blog

IBM software products are embedding watsonx capabilities across digital labor, IT automation, security, sustainability, and application modernization to help unlock new levels of business value for clients. Automated development: Automates data preparation, model development, feature engineering and hyperparameter optimization using AutoAI.

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Build generative AI–powered Salesforce applications with Amazon Bedrock

AWS Machine Learning Blog

Salesforce Data Cloud and Einstein Model Builder Salesforce Data Cloud is a data platform that unifies your company’s data, giving every team a 360-degree view of the customer to drive automation and analytics, personalize engagement, and power trusted AI.

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LLMOps: What It Is, Why It Matters, and How to Implement It

The MLOps Blog

Tools range from data platforms to vector databases, embedding providers, fine-tuning platforms, prompt engineering, evaluation tools, orchestration frameworks, observability platforms, and LLM API gateways. The quality and structure of prompts significantly influence LLMs’ output.

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Delight your customers with great conversational experiences via QnABot, a generative AI chatbot

AWS Machine Learning Blog

Enterprises want to automate frequently asked transactional questions, provide a friendly conversational interface, and improve operational efficiency. Lastly, if you don’t want to set up custom integrations with large data sources, you can simply upload your documents and support multi-turn conversations.

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The Future of Data-Centric AI Day 2: Snorkel Flow and Beyond

Snorkel AI

Snorkel AI wrapped the second day of our The Future of Data-Centric AI virtual conference by showcasing how Snorkel’s data-centric platform has enabled customers to succeed, taking a deep look at Snorkel Flow’s capabilities, and announcing two new solutions.