2025 Enterprise AI Sourcebook

Features

AI and Data Governance: Ensuring Compliance, Security, and Trust

Data governance has evolved. What once meant checkbox compliance now demands fundamental organizational transformation. AI systems permeate every business function, and traditional frameworks cannot handle this reality.

Architecting a Modern Data Stack for AI Agents

Even if you've got a brand-new business model based specifically on the capabilities of a language-centered AI agent, you still have to deal with time-honored challenges such as disparate and scattered data, slow response, finding necessary information, and trusting that information.

Building Enterprise-Grade AI Applications

As the C-suite continues to marvel at AI, many companies are settling into the early stages of undertaking enterprise AI adoption in targeted areas now that the "winner takes all" rush to apply AI technologies to outpace the competition is mostly gone.

Fast, Accurate, Relevant, Intuitive: The Future of Search

What attributes come to mind when you consider a great search experience? You would probably say it is fast, accurate, relevant, and intuitive. You would focus on what the act of searching allowed you to achieve.

Making Data More Accessible and Usable: Knowledge Graphs, Semantic Layers, and Vector Databases

The collective fields of knowledge, data, content, and information management have experienced massive changes over the last several years. AI, not long ago a concept mainly reserved for science fiction, has become an everyday tool for information workers.

Sharing Knowledge at Speed and Scale: The Convergence of KM and AI

Instant answers and algorithmic insights have become a fact of life and are now expected when searching, problem-solving, and, well, working in general. Today's technology makes it very easy to mistake "fast" for "smart."

The AI-Driven Workforce: Transforming Organizations Through Arts-Based Interventions

In our rapidly evolving, AI-driven workplaces, organizations face unprecedented human resource challenges. The pace of change is creating exhausted and burnt-out employees. An energy, engagement, and productivity crisis is affecting AI-driven workforces worldwide. Rooted in industrial-age thinking, traditional approaches to workplace efficiency are proving inadequate for our volatile, uncertain, complex, ambiguous (VUCA) world.

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.

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.