The Evolution of ERP with AI | Jim Snabe Keynote 

The speaker expresses enthusiasm for AI development at the company. Reflects on the past year, noting the intensity of crisis management. Emphasizes the shift from tactical to strategic thinking in the AI industry. Mentions the importance of predicting the future using AI tools. Discusses the potential of AI to transform boardroom conversations. Shares the idea of using AI to predict, explain, and recommend actions. Presents a vision of a boardroom without traditional PowerPoints, leveraging AI-generated insights. Highlights the need for AI implementation in the current IT landscape. Outlines five steps to implement AI, starting with analyzing potential AI value areas. Advocates for the use of AI to predict future scenarios in areas like forecasting, supply chain, asset performance, and ESG. Proposes the creation of an internal AI platform for application development. Introduces the concept of generative AI for the enterprise, enabling everyone to ask future-focused questions. Concludes with the idea that AI can transform companies and facilitate strategic conversations amid crises.

The speaker emphasizes the transformative potential of technology in shaping companies, industries, and value chains. Reflects on the challenges faced in the past year, highlighting the shift from tactical crisis management to strategic thinking. Draws inspiration from Formula One leadership principles, emphasizing continuous improvement and the need for constant reinvention. Critiques the traditional boardroom approach of focusing on past performance through PowerPoints and rear-view mirror analysis. Advocates for the integration of AI and predictive analytics to enable forward-looking strategic discussions in the boardroom. Describes a vision of a boardroom without PowerPoints, using AI-generated insights to discuss and plan for the future. Presents a five-step approach to implementing AI, starting with analyzing potential value areas and progressing to building a platform for AI applications. Gives examples of how AI can be applied to forecasting, supply chain management, asset performance, and ESG (Environmental, Social, Governance) reporting. Highlights the importance of generative AI for the enterprise, enabling everyone to ask future-focused questions. Concludes with a call to lead by technology and transform industries for a more sustainable and innovative future.