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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

Vibe Coding: When Intent Becomes the Interface

For the last 40 years, the history of enterprise software has been a history of translation. Business leaders had intent; engineers had the syntax. The gap between them was bridged by requirement documents, product managers, Jira tickets, and the inevitable friction of misinterpretation.

AI Across Markets and Industries

With all the noise around generative AI (GenAI) since the advent of ChatGPT, has the signal gotten lost? Are we missing the one "killer app" that will make GenAI indispensable? What is more likely is that multiple killer apps will surface across many markets and industries.

The Rise of Agentic AI: Why Your AI Agent Is Clueless

Enterprises are rushing to adopt so-called "agentic AI," systems that promise to not just answer questions, but also take actions, automate tasks, and drive decisions. In theory, these agents can draft emails, update records, generate product specs, or flag anomalies without human involvement. In practice? Most deployments don't make it past the demo.

The Power of RAG

Think back a few years to OpenAI's initial introduction of its generative AI (GenAI) chatbot—the excitement, the promise of marvelous opportunities, the sense of a change for the better. It wasn't long before the euphoria of GenAI wore off and people started noticing that large language models (LLMs) could produce absolutely fabulous results, but they could also deliver flawed information that looked plausible but was untrue.

Enterprise AI Case Studies

Kocho Selects Zadara to Enable Efficient Sovereign AI Clouds

The partnership enhances Kocho's agility and security while supporting data sovereignty, AI readiness, and its Microsoft-first cloud strategy.

Accuris’ Built-in Research Agent, Co-Developed with Databricks, Enhances Supply Chain Management

New generative AI technology, developed with Databricks, accelerates component discovery and sourcing through natural, conversational search.

Databahn Joins Wiz Integration Network to Supercharge Enterprises with AI-powered Security Data Management

The collaboration enables CISOs to unify security telemetry, automate data routing and tiering, and simplify operations while preparing for the AI-driven security operations center (SOC) of tomorrow.

Enterprise AI Whitepapers

Building an AI-Ready Enterprise: Governance as the Foundation for Scalable AI

Solving the 95% Blind Spot

Solving the 95% Blind Spot: How to Find the Issues Your Contact Center Doesn't Know It Has Your Contact Center Is Flying Blind on 95% of Customer Data Most teams analyze only 5%—manual tags and sampled data. The rest stays hidden in transcripts, chats, and surveys. What This Costs You: Reacting weeks after problems start Missing emerging issues with outdated taxonomies Never catching the "unknown unknowns" that drain revenue Why AI deflection fails (and what works instead) The Avoidance Imperative—eliminate issues at the source How autonomous taxonomy delivers 100% coverage Get the Ebook

Spiral by UJET - The AI Issue Hub for Decision-Grade Data

What if anyone in your entire company—from an engineer to a marketing leader—could instantly ask a plain language question and get a definitive, quantified answer from 100% of your customer conversations? This datasheet shows you how. Learn how Spiral’s easy-to-use AI agent autonomously analyzes every call, chat, email, and review to find the ultra-specific root cause of every customer issue—transforming 100% of your customer conversations into actionable, predictive insights. Go from 'What if?' to 'Here's how.' Trusted by innovative teams at Turo, Owlet, and Whitepages

Tipping the Scales: AI-led or Human-led CX in 2025 and Beyond

When should AI handle the interaction—and when should humans step in? Watch this on-demand session with CCW Digital and UJET experts to find out. What You'll Learn: 2025–2026 AI predictions and emerging CX capabilities Strategies for seamless AI-to-human escalation Which use cases need AI vs. where humans are essential A framework for balancing AI-led and human-led experiences Featuring Brooke Lynch (CCW Digital), Matthew Clare (UJET), and Dave Michels (TalkingPointz) Watch On Demand Now!