Agenda Day 1

In this session, John Adams, CFO, MIT Lincoln Labs, will share how they are using AI to analyze organization-wide spending and make strategic decisions about costs. This effort goes beyond identifying better spending opportunities, but explores how AI can be used to understand the cost implications of their operating decisions. In short, the session will examine:

• Using AI for spend analytics and financial decision making
• How to refocus on value-adding spend and take out waste
• Employing AI to make a smarter, next-generation finance function

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As a tool which can act independently and make decisions, Agentic AI has a big role to play in autonomous finance and can vastly improve the finance functions’ efficiency, effectiveness and value-add. In this session we examine this further, looking at:

• How Agentic AI fits into the autonomous finance puzzle
• Utilizing Agentic AI for intelligent decision-making and real-time responses
• Understanding how Agentic AI improves processes and customer experience
• Use-cases for Agentic AI in finance

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Gartner states that 64% of CFOs believe autonomous finance will become a reality within the next 5 years, but how do we get there? 

In this session we examine the building blocks we need to invest in, including:

·       Data: Utilizing your data to deliver insights and make decisions

·       AI: Examining your finance processes for AI opportunities

·       Cloud: Accelerating your journey to the cloud

·       Digitally enabled talent: Upskilling and new ways of working

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This session will be an exclusive tech-demo exploring how AI is being used within finance operations to enable STP (Straight though processing) and eliminate the need for human intervention. The session will deep-dive into how the tool is increasing efficiency, reducing errors and accelerating turnaround times without compromising on customer experience. 

• Optimizing operations with AI-enabled STP
• Implementation: The realities and timelines for implementation and getting started
• Innovation station: Exploring use-cases for those who’ve already adopted AI in their finance processes and examining lessons learned