Igniting Your AI Journey
In a world where everyone is talking AI, finding the clarity to take the first step to adopting it is a major challenge. Join Tom Ormsby, founder and CEO of Raiven – an AI Agency, to demystify the AI adoption process, and help you move forward with confidence.
Format
Event
Location
Virtual
Product Number
21032025-UK
Tom Ormsby, CEO, Raiven Ltd will discuss the transformation journey of adopting AI, and the steps organisations must tackle to get the most out of their AI projects. He will discuss some technologies to consider, sharing ideas to help you think about your own AI opportunities, and helpful tools to prioritise your use cases, leaving you with a clearer idea of where to focus your attention and how to start taking action.
For example:
- Understand the process of a standard Machine Learning project – Tom will cover the main stages of a machine learning project and what happens at each stage.
- Develop a thought process for identifying AI opportunities - discuss some broad AI technology areas and the types of challenges AI is often used to solve, encouraging you to think about challenges in your own businesses and where AI may be applied to solve them.
- Learn a Method for Evaluating and prioritising opportunities – We will discuss a methodology for evaluating use case ideas and deciding which ones to prioritise.
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Speaker
Tom Ormsby, Founder & CEO, Raiven Limited is is an experienced AI professional, having worked with Data Science and Machine Learning for 10 years, with industry experience in agencies, exciting tech start ups, and established multinational corporations. Having completed an MSc. in Artificial Intelligence in 2022, Tom went on to found Raiven, a West Midlands' based agency supporting organisations in understanding AI technology, as well as building solutions.
Raiven secured funding to work alongside tech start up OctaiPipe and consumer goods giants Proctor & Gamble in 2024 to work on the SAFER AI project, combining cutting-edge AI techniques with a challenging industry problem to build a software solution that represents a major leap forwards in risk forecasting for Health and Safety.
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