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Hardware and Chips
Hardware and Chips are fundamental to the development and deployment of AI technologies. They provide the computational power, efficiency, and scalability needed to train and run complex AI models. Advances in hardware drive innovation, enable new applications, and make AI technologies more accessible and effective.

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Features

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.

Elevating Enterprise Search With AI, ML, NLP, and LLMS

Information retrieval, now more commonly known simply as search, is one of the earliest manifestations of using AI. Consequently, enterprise search is inseparable from AI and one of the most meaningful beneficiaries of the exponential advancements recently achieved by machine learning (ML)—the most accomplished expression of statistical AI.

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.

Transforming Customer Service with AI and Knowledge Management

Customer service and customer support operations are no strangers to AI technologies. AI has long been embedded in the interactions between companies and their customers.

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.

iGenius Deploys One of the World’s Largest NVIDIA DGX AI Supercomputers, Targeting Highly Regulated Industries

iGenius, a pioneer in AI models for highly regulated industries, is announcing its deployment of NVIDIA DGX SuperPOD with NVIDIA Grace Blackwell Superchips.

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.