Finance 2.0: Building Trust in Data to Unleash the Power of AI and Analytics

 

As AI transforms global industries, finance is entering its most consequential shift yet. To move from hindsight to foresight, it must work across the enterprise and get data right. Without trusted data, AI stalls; but with it, finance becomes proactive and strategic.

This roundtable brings together senior finance leaders to examine how the function can harness data, analytics, and AI—and help CFOs grow into Chief Value Officers. That transition, however, hinges on one fundamental foundation: trusted data and insights that translate clearly into actionable steps and measurable value.

This edition of MIT SMR Connections, in partnership with Alteryx, will explore different perspectives on how CFOs can rebuild trust in data and what the implementation pathway entails.

Briefing Points

• A 190B Potential – Leaders can begin leveraging advanced algorithms, ML, and natural language tools as a starting point. With AI in finance projected to reach $190.33 billion by 2030, the technology’s potential is immense, including improved operations, reduced costs, enhanced fraud detection, and automated regulatory compliance.
  
• A Guardian of AI – One-third of businesses increased revenue and profits in 2024, thanks to GenAI, says PwC. AI adoption is essential, but leaders must adopt responsible AI to maximize benefits, mitigate risks, and maintain stakeholder trust.
  
• Becoming a Function of Its Own – To become an autonomous, value-driven function, CFOs must support upskilling their teams in key technical skills, such as data analysis, cybersecurity, and machine learning. The goal is to own and leverage data, rather than being controlled by it.
  
• Progress Pathway – Exploring strategies for modernizing finance as a driver of growth and innovation: What will AI in finance look like 10 years down the line? How do we achieve the goal, and what impact will it have on the masses?