Winning the AI Race: Practical Advice for Financial Services Leaders

From fraud detection to automated payments, AI is having a moment in financial services. Customers are demanding faster, more seamless experiences. At the same time, they’re putting even greater pressure on financial institutions to protect customer data and transactions.

In this second LinkedIn Live event in our series, “Talking AI With Teradata and Accenture,” industry experts from Accenture, Microsoft, and Teradata will discuss the unique opportunities and challenges of implementing AI within the highly regulated industry of financial services.

Join our speakers for tips on:

  • Where to invest your AI resources for maximum results
  • Managing risk, compliance, and trust in a customer-driven business
  • Four key ingredients to successful AI implementation
  • Making the leap from generative AI pilot to payoff

In addition, they’ll share real-world use cases showing how innovative solutions from Microsoft and Teradata are enabling top financial institutions to realize true value from Trusted AI at scale and gain a competitive advantage. 


Vedat Akgun, PhD
Vedat Akgun, PhD
Vice President, Data Science & AI, Teradata  

Vedat is Vice President of Data Science & AI in the marketing organization at Teradata. In his role, he uses his depth and breadth of experience in AI/ML to plan, implement, and manage Teradata's overall AI marketing strategy and leads AI thought leadership. Akgun has more than two decades of hands-on practitioner experience in AI/ML, delivering actionable, intuitive, and impactful advanced analytical capabilities in major industries, including finance, telecommunications, supply chain, pricing and revenue management, retail, and transportation and logistics. He holds a PhD in industrial engineering with a specialization in operations research from the University at Buffalo.

Guest speakers

Tony Cyriac
Tony Cyriac
Data & AI Lead for North America Banking and Capital Markets, Accenture

Tony joined Accenture in April of 2024 as Data & AI Lead for North America Banking and Capital Markets. Tony is one of the world's leading enterprise data leaders, with expertise in data and AI strategy, governance, cloud technology, business analytics, data engineering, data science, and product management.

Previously, as Chief Data & Analytics Officer at Charles Schwab, Tony drove the evolution of Schwab’s scalable data, analytics, and AI capabilities. He implemented data and analytics roadmaps for all its business and functional areas, co-led a firm-wide generative AI strategy, and spearheaded the build and delivery of high-impact AI products that improved client experience and service agent efficiency while cutting costs, and boosting revenue.

Prior to that, Tony served as the Enterprise Chief Data & Analytics Officer at BMO Financial Group, where he played a key role in ensuring BMO met its U.S. regulatory obligations. He also was a member of the World Economic Forum’s Steering Committee for AI in Financial Services.

Amie Fleming
Amie Fleming
Azure Data & AI Director, Microsoft

Amie Fleming is currently a Director of Azure Data & AI at Microsoft, where she leads a high-performing team of data & AI cloud architects working with leading global financial institutions to solve complex problems using the Microsoft Cloud. She is a global leader with experience leading teams in the U.S., Asia, and EMEA. She has expertise in developing strategies and partnerships with the world’s largest companies and startups across multiple regions. Amie holds an MBA from Columbia Business School and is based in New York.

Erkunden Sie weiter