Amazon framework would apply generative AI with pre-trained large language models (LLMs) to the process of database debugging.
Search Results: large language model (440)
Chris Monkman describes how Celonis decided to use machine learning and a large language model to gain insight on value improvement opportunities.
Organizations must consider the security and privacy implications around using generative AI apps and large language models.
IBM has introduced the latest version of its watsonx platform, adding large language models, information retrieval functionality, and robust governance.
Integrating generative AI, natural language prompts, large language models, and machine learning augments the power of customer experience applications.
Kieron Allen hosts C3 AI CEO Thomas Siebel who explains how generative AI and large language models are impacting enterprises and their workforces.
Analyst Toni Witt shares two real-world use cases demonstrating how large language models like GPT-4 enhance finance processes, reduce errors and biases, and boost efficiency.
Enterprise apps and AI software giant endorses AI standard, adding momentum and simplifying access to dominant database platform.
Workday earns ISO 42001 and NIST AI RMF accreditations, reinforcing its commitment to responsible, transparent, and trustworthy AI governance.
Market perceptions are shifting, valuing those who leverage AI effectively, with Oracle leading by example.
Why Oracle Chairman Larry Ellison is betting big on leading cloud databases, applications, and infrastructure — and why history suggests you shouldn’t bet against him.
Microsoft demos specific Purview functions that customers can tap into in AI use cases so they are protecting critical corporate data assets from both malicious external actors and insider threats.
Google reveals its bold vision for Gemini as a universal AI assistant capable of planning and simulating real-world experiences.
New functionality in Azure AI Foundry, Copilot Studio, and GitHub brings major advances in building and managing AI agents while selecting the optimal model for developer flexibility.
SAP’s AI-driven flywheel strategy connects applications, data, and AI to power agile, end-to-end enterprise operations and future-ready innovation.
Adam Lieberman details AI focus at financial software provider Finastra: enterprise efficiency, devleoper productivity, and client commercialization. He also outlines the firm’s work with Microsoft.
IBM’s latest Granite 3.3 model series introduces advanced AI-driven speech capabilities, marking another major step in its expanding suite of enterprise-focused AI tools.
Oracle EVP Chris Leone shares how tightly integrated AI agents and enterprise applications are transforming HR, supply chain, and operational workflows into autonomous, highly productive systems
Oracle’s new AI Agent Studio empowers businesses to build, customize, and orchestrate AI agents for advanced enterprise automation.
Oracle’s AI Agent Studio is reshaping the fusion of apps and AI agents for business growth.