AI Beyond the Hype; Practical Solutions for Real Businesses

AI is often associated with ChatGPT, self-driving cars, or highly complex research projects, which can make it feel distant or irrelevant to everyday business problems. This session breaks down those misconceptions and shows how AI is already accessible, practical, and valuable across almost every sector.

Through a series of clear, approachable demonstrations, attendees will see how different types of AI solutions can be applied to real business scenarios. We will showcase natural language processing, chatbots, and predictive models, using Azure AI Services, Copilot Studio, and Azure AutoML to demonstrate how these capabilities can be built and deployed without needing deep data science expertise.

Alongside the demos, the session explores real-world use cases across multiple industries, including Manufacturing, Retail, Leisure, Education, and Security, highlighting how similar AI techniques can solve very different problems. The focus is on understanding what each type of AI is good at, when it makes sense to use it, and how to choose the right tool for the job.

This session is aimed at data and technology professionals who want to move beyond hype and gain a clearer, more grounded understanding of how AI can deliver tangible value in real organisations.

By attending this session, you will learn how to distinguish between different types of AI solutions and their practical uses, understand how Azure AI Services, Copilot Studio, and Azure AutoML fit into the Microsoft AI ecosystem, see working demonstrations of NLP, chatbots, and predictive models, recognise where AI can add value across different industries, and gain confidence discussing and evaluating AI opportunities within your own organisation.

you will learn how to distinguish between different types of AI solutions and their practical uses, understand how Azure AI Services, Copilot Studio, and Azure AutoML fit into the Microsoft AI ecosystem gain confidence discussing and evaluating AI opportunities within your own organisation.