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Databases
AI relies on data -- lots of it. As such, databases are essential for AI because all of that data needs to be stored, managed, and retrieved in a structured, scalable, and efficient manner. Databases support data preparation, integration, and real-time processing, as well as data quality, security, and governance. Succeeding with AI starts with the data. 

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Features

Upskilling and Reskilling in the Age of AI

The AI revolution is upon us. A tidal wave of AI technology is sweeping across businesses, fundamentally reshaping how employees, managers, and AI system developers approach their work.

The Future of Work Chatbots, Voicebots, and Virtual Assistants

Enterprises increasingly rely on chatbots, voicebots, and virtual assistants to service more customers without adding to their staff count. These devices can be connected by a single underlying software platform, although there are several companies that use these devices independent of each other.

Adding Meaning to Data: Knowledge Graphs, Vector Databases, and Ontologies

This article discusses the importance of context in enterprise data for generative AI (GenAI), and, in fact, for any AI initiative.

Developing a Strong AI Governance Framework

The exponential advancement of AI technologies necessitates the implementation of robust governance frameworks to guide their responsible development and deployment.

Enterprise AI Case Studies

Zuvu AI and Vana Collaborate on Decentralized AI in the Bittensor Ecosystem

Zuvu AI and Vana are announcing a strategic partnership to advance decentralized AI by integrating user-owned data, permissionless compute, and economic incentives.

Terra Quantum and BBVA Complete Pilot, Streamlining Pricing Tools with AI and Quantum Software

The two companies demonstrated the potential of AI-driven and quantum-inspired methods to enhance the speed and efficiency of exotic derivatives pricing.

SADA Earns New Google Cloud Specialization After Success with GenAI Experimentation

SADA reinforces its commitment to delivering transformative AI solutions that drive customer success.

Enterprise AI Whitepapers

The New Era of Gen AI: Enabled by Logical Data Management

Many organizations are still struggling to implement a data foundation that can scale across the increasing number of data sources and increasing volumes of data required by Gen AI; enable all Gen AI applications and other data consumers to access the data they need in real time, and in a safe and privacy-compliant manner.

2024 Enterprise AI Sourcebook

The Enterprise AI Sourcebook brings together the leading experts from across the industry to dive into the most important trends as the go-to resource for real direction on the risks, obstacles, solutions, and best practices. Download this special publication today.

The AI Security & Governance Report

Compliance, privacy, and ethics have always been top priorities for data-driven organizations. But as generative AI advances open new doors and opportunities for innovation, the stakes have never been higher than they are right now.

2024 State of Reliable AI Survey

Like any data product, when it comes to AI, garbage data in means garbage responses out. The success—and safety—of AI depends on the reliability of the data that powers it.

Databases Companies and Suppliers
Databases Directory