PAC Leadership Session
Financial Services Industry – AI Adoption
The right focus. The right approach. The right results.
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Validate Success

Activate Portofolio

Leverage Brand

Utilize Sales
Optimizing financial operations through intelligent automation
European financial fervices firms face mounting pressure to optimize risk management, enhance customer experience, and streamline compliance processes. Machine learning and deep learning are increasingly applied to detect fraud, predict credit risk, and automate regulatory reporting, while advanced analytics drive personalized product recommendations.
This session equips IT solutions and services leaders with insights into AI-driven financial operations, highlighting real-world use cases, technology adoption trends, and strategic opportunities to better engage buyers and stand out in a competitive, data-driven market.
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1.5-hour webinar

2-hour workshop

1-hour in-person presentation at an event
| Price €9,950 |
Designed for Your Business Goals
Market Intelligence Team
Analyst Relations Team
CEO/COO
CIO/CTO
Strategy Team
Sales Team
Marketing Team
Partnership Management Team
Chief Digital Officer
Product Management Team
Your Challenges
- Identifying clients’ AI and analytics needs across financial services operations.
- Managing complex data, regulatory requirements, and technology integration challenges.
- Delivering measurable outcomes like fraud reduction, risk mitigation, and customer personalization.
Your Benefits
- Leverage insights to align client needs with AI/ML solutions and simplify adoption.
- Access PAC’s research, case studies, and analyst guidance on AI trends.
- Improve client engagement, differentiate offerings, and enhance solution credibility.
- Reduce time and uncertainty in assessing market trends and technology priorities.
Session Agenda
- Assess end-customer demand for AI-driven innovations in financial services.
- Explore how customer expectations influence technology adoption and market trends.
- Interpret trends to guide solution positioning and engagement strategies.
- Recommend actionable approaches for aligning services with evolving buyer requirements.
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Meet Your Lead Analyst

Spencer Izard
Principal Analyst
Spencer Izard is a Principal Analyst at PAC, based in London, UK. He is the PAC research cluster lead for AI & Analytics, as well as Digital Customer Engagement (DCE). His primary research focuses on all forms of existing and emerging AI from a global perspective, aiming to support enterprise leaders in strategic decision-making and help software and services firms enhance client engagement and support their clients.
He is also part of PAC’s cloud and security clusters, where he focuses on the role of AI within these domains. From an industry perspective, he leads research and client engagements in the retail and banking sectors, drawing from his extensive experience in both.
Due to his 25+ years of career experience as a senior leader in enterprises, strategic advisor in software firms, and senior analyst, Spencer leads consulting engagements and creates research content that is focused on how enterprise leaders need to navigate technology change cycles to assist business outcomes and adoption patterns to aid in strategy creation and purchasing decisions. This perspective provides invaluable insight for software and services companies, helping them create effective strategies and engage with customers. It also assists senior leaders in enterprises in developing their digital strategy and preparing for RFI/RFP purchasing decisions.
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