3015: Real-World AI Solutions: Appian’s Path to Enterprise Innovation

In this episode of Tech Talks Daily, Adam Glaser from Appian shares how generative AI is transforming enterprise technology and redefining how businesses operate. As the global appetite for AI grows, Appian’s low-code platform stands out by making AI more accessible, allowing enterprises to build and deploy AI-powered applications without requiring extensive data science resources. Adam dives deep into how generative AI serves as a force multiplier across the board—from developers building and testing applications faster to end users interacting directly with AI-driven chat interfaces.

A key focus of the conversation is Appian’s patented data fabric, a virtualized data layer that addresses fragmented enterprise data. This architecture provides the foundation for AI to operate efficiently, pulling together disparate data sources into a unified system. Adam explains how this approach enables businesses to unlock the full potential of AI, helping enterprises tackle complex tasks such as document extraction, PII detection, and real-time data analysis.

Throughout the episode, Adam presents several real-world examples where Appian’s AI-enhanced solutions have delivered measurable results. From automating the accounts payable process for a U.S. fire protection company to improving student advising through AI chatbots at a large university, these stories reveal how businesses are achieving significant productivity gains and cost savings. In particular, the episode highlights how AI has revolutionized document processing, customer service, and data management, reducing errors and improving accuracy across industries.

Adam also addresses the barriers to AI adoption, including common concerns around data privacy, job displacement, and unrealistic expectations. He offers practical advice for business leaders looking to integrate AI effectively, urging them to focus on tangible business outcomes and view AI as a tool to augment human capabilities, not replace them.