Agentic AI in Financial Services Online schedule

• How are autonomous AI agents transforming banking, wealth management, and fintech? 

• What are the biggest barriers to AI adoption in traditional financial institutions? 

• How much decision-making power should AI have in finance? Should AI be limited to assisting human professionals, or is full automation in areas like trading, credit scoring, and risk management a viable future? 

• What regulatory challenges arise as AI systems evolve? 

• What are the future innovations in AI-driven financial services? How will agentic AI transform areas such as automated wealth management, predictive analytics, algorithmic trading, and fraud detection? 

• How are AI-powered trading bots reshaping financial markets? 

• Can AI-driven trading cause flash crashes or amplify systemic risks? 

• What safeguards are needed to ensure ethical AI trading and prevent market manipulation? 

• How do regulators monitor and oversee AI-driven trading decisions? 

• Should there be limitations on AI autonomy in stock markets to maintain stability? 

• How can firms implement transparency and explainability in AI trading algorithms? 

• What role does AI play in democratizing trading for retail investors? 

• What emerging trends in AI-powered trading will shape the next decade of financial markets? 

Aditya Mehra, Staff Software Engineer, Bank of America 

Akhila Yellapragada, Software Engineer - Morgan Stanley  

• Discuss the rapidly evolving landscape of cyber security threats and their profound impact on business success.
• Highlight the transformational power of aligning technology risk with your core business strategy, creating a strong defence against emerging threats.
• Emphasise the importance of building and nurturing a resilient workforce, equipped to tackle the evolving challenges of the digital age.

• How can AI agents deliver hyper-personalized financial advice? 

• Can AI financial planners outperform human advisors? 

• What are the risks of AI-driven investment decisions? 

• How do we ensure fairness and bias mitigation in AI-driven financial planning? 

• What role does customer trust play in AI-powered financial services? 

With evolving Australian regulations, enterprises are facing stricter mandates for securing sensitive data. Protecting is no longer just a best practice—it’s a business imperative. This session will explore key data protection requirements, including enhanced encryption, stricter access controls, and stronger authentication mechanisms.

Join us to understand how to turn compliance challenges into security advantages while staying ahead of regulatory demands.

In the highly competitive age of digital transformation financial service organizations are facing accelerated urgency to improve their customer and employee experience while simultaneously reducing operating costs, and managing risk and compliance.

To meet these competing demands on their business, these organizations are racing to deploy deep learning to achieve a new competitive edge by optimizing their back office operations with intelligent document processing, personalizing their customer experience with cutting edge NLP models, and reducing fraud and risk using state-of-the-art deep learning.

AI is here and delivering new capabilities to help businesses solve large and complicated challenges. Join Bob Gaines to learn what that means for your business and how deep learning is helping organizations:

• Achieve higher compliance, faster and with lower costs • Dramatically improve Customer Experience • Reduce time to value from years to weeks

Sergio Rego is a customer engineer at SambaNova Systems where he helps clients deploy purpose-built, deep learning solutions in weeks rather than years. Sergio started his career in financial services, where he worked in strategy; active and index management; and product design and management. Sergio also served as a senior data scientist and team manager for a system integrator where he helped federal government agencies deploy ML and AI solutions.

• What are the next emerging trends in AI-driven finance? With rapid advancements in agentic AI, how will autonomous systems redefine areas like trading, lending, and risk management? 

• How will human-AI collaboration shape the financial sector? As AI takes on more decision-making, what balance should be struck between automation and human oversight to ensure responsible and effective financial operations? 

• What strategies will help financial firms successfully integrate AI? 

• How can AI adoption drive competitive advantages in banking and fintech? 

• What should financial leaders do today to prepare for AI’s future? 

• How will AI regulation impact financial innovation? As governments worldwide introduce stricter compliance frameworks, how can financial firms ensure their AI models meet transparency, accountability, and ethical AI standards?