Topic(s)
- Technology
AI-based technology has been a fundamental component in the ongoing pursuit of manufacturing excellence. Starting with basic programmable logic abiding by human-defined flowcharts and decision trees, the earliest automation was capable of “deciding” what actions to take based on simple inputs. Jump to the modern day, where production at scale has become an exercise in JIT manufacturing: AI now fills a vital role in learning production trends on a facility-by-facility basis and directs either automated systems or humans-in-the-loop to act in accordance with established lean methodologies. That said, it would be wrong to assert that all businesses are at the same place in their AI journey, and so this talk serves to highlight just what it will take to cross the AI adoption gap. This includes a candid conversation about the critical role of data in training ML-based AIs, what kinds of systems can be entrusted to AI entirely and how to build coalitions around moving toward useful AI integrations without getting caught up in the hype.
In much the same way that automation requires an up-front investment, so too does AI. By the end of this presentation, you should be able to identify the majority of hurdles to crossing the AI adoption gap and be armed with what you need to lead AI transformation conversations that make meaningful contributions to operational excellence and consistent value delivery.
Key learning objectives
- How to understand what data is required for bespoke AI applications.
- How to identify systems that are best suited for AI applications.
- How to build consensus around AI applications with leadership.
Company
Creme Global is a scientific modeling, data analytics and computing company committed to helping organizations protect their reputation using data. The company is the data and technology partner of many of the biggest companies in the world. It helps organizations understand the context of their data, and its solutions bring its clients along the journey from data management to data visualization, advanced analytics and predictive modeling. https://www.cremeglobal.com/
Presenter
William O’Sullivan is the head of data science at Creme Global, a trusted provider of scientific exposure modelling software and data aggregation and analysis software. Coming from a background in astrophysics and high-performance computing, O’Sullivan is responsible for designing and implementing systems to tackle challenges in the food safety space using data.
Leading a team with diverse expertise, O’Sullivan brings advanced machine learning and analysis techniques to the world of food safety, specialising in approaches that meet the joint needs of regulatory and industrial clients. Accordingly, he has most recently been focusing on the unique benefits and challenges associated with collecting and sharing privacy-sensitive industrial data.
O’Sullivan's leadership has been instrumental in several high-impact projects, including collaborative efforts with regulatory bodies, research institutions and industry partners. His expertise in predictive modeling and his commitment to advancing data science applications in public health make him a valuable thought leader in his field. 
