FSI & AI Singapore Summit
The Financial Service Industry is an early adapter with AI. Early use cases have been deployed in numerous cases including customer experience, fraud detection, investment selection, KYC, onboarding, personalization, security, GRC, operational efficiency, credit and underwriting decisioning and ESG.
Nonetheless, trust, ethics, compliance, governance, and scaling at speed remain challenging to AI and Data leaders in FSI. With fairness and privacy under scrutiny, AI models must be robust, explainable, and validated.
The FSI & AI Singapore Summit aims to provide a platform for AI & Data leaders in the Banking, Financial Services, and Insurance industries to explore the way forward. The Summit, which will feature a blend of insightful presentations and panel discussions, aims to accelerate AI adoption responsibly to maximize business impacts securely in a heavily regulated environment.
This Summit is for all professionals involved in digital, data, cybersecurity, transformation, and IT, including:
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Chief Data Officers
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Chief AI Officers
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Chief Analytic Officers
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Chief Digital Officers
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Chief Information Officers
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Chief Technology Officers
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Chief Transformation Officers
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Chief Innovation Officers
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Chief Customer Officers
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Chief Compliance Officers
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Heads of AI
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Heads of Data Science and Analytics
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Heads of Governance, Risks and Compliance
AGENDA
AI has become mission critical for leading banks, financial service firms, and insurance companies. With the potential to revolutionize traditional operating models, AI is expected to enhance engagement, boost efficiency, and refine decisioning. in multiple areas across financial institutions. An AI leader will illustrate his/her vision of AI in FSI, and the challenges we need to overcome to realize its potential.
Whether your business-critical challenges are in customer analytics, trading, AML, underwriting, or customer experience, AI could be the solution. Yet for BFSI firms to deploy AI solutions efficiently, they need a simplified set of capabilities for security, privacy, access and secure data collaborations. Find out how a Financial Service Data Cloud can help you craft a better-connected data ecosystem and what use cases it helps to enable.
AI is expected to have significant impact on the financial services landscape, revolutionizing operations and processes on multiple fronts. While some concepts have been proven and use cases have been launched, the shadow of failed hypes from blockchain is creating doubts for some. This panel will explore the opportunities, hurdles, solutions and use cases in various areas primed for AI including:
- Customer experiences, marketing, and personalization
- Operational efficiency and automation
- Governance, risk, compliance, fraud detection, and security
- Credit score and underwriting decisioning
- Investment, trading, and portfolio optimization
- Sustainable finance and ESG
Moderator:
Financial services leaders increasingly use advanced technologies to engage customers better and meet today’s industry challenges. They are investing time and money in modernizing their legacy applications, analytics, and data infrastructure to drive business growth and increase wallet share. These same forward-looking organizations also find that leveraging clean, accurate, fit-for-business-use data as fuel for AI and machine-learning-powered analytics is key to reaping benefits from their digital investments. High-quality data that fills their modern cloud data lakes and platforms is helping to strengthen risk management and supports the adoption of open API standards to improve business agility. Employing data governance and data lineage capabilities enables them to comply with industry regulations, from BCBS and GDPR to the latest ESG reporting requirements.
In this session, you will learn how financial services trailblazers accelerate their business goals and surmount data challenges by leveraging Informatica’s Intelligent Data Management Cloud™ (IDMC) for Financial Services. This comprehensive, AI-powered, end-to-end data management platform natively includes industry-specific extensions.
Financial institutions have a fiduciary duty to ensure fairness, accuracy, and reliability in their business dealings, which impact the lives of their clients significantly. Thus, addressing the ethical gray areas and regulatory uncertainties of AI is essential. But are we ready to judge and regulate? This panel debates:
- Developing Theory of Mind AI
- Establishing a responsible and explainable AI culture and structure
- Navigating AI bias vs. human bias: who judges what is bias-free?
- Preventing AI hallucination and adopting Casual AI
- Accelerating the development of AI regulatory regimes with concrete practical guidelines
- Aligning AI regulatory standards across jurisdictions
Panelists:
The banking, financial services and insurance industries stand at a crossroads, confronted by a perfect storm of technological disruptions, tightening regulations, and evolving customer expectations. Success necessitates the integration of new and old – legacy data platforms with cutting-edge AI solutions, as well as meeting the needs of customers from different eras.
This roundtable will look at how BFSI firms can leverage the data they have with the power of AI to get ahead. James Berrocal Sizemore, Informatica's Chief Strategist for Insurance will share his experiences about what top insurers and banks around the globe are doing to step up and deliver exceptional business outcomes.
Key Takeaways:
- Enabling innovation through interoperability: Discover how the insurance and banking sectors can enhance data interoperability with their core systems to empower the next wave of innovation.
- Doing more with MDM: Understand the crucial role of Master Data Management (MDM) and how it allows companies to leverage AI and advanced analytics to make better and faster decisions.
- The customer experiences of tomorrow: Discover how AI is the missing link to delivering frictionless, hyper-personalized customer experiences across the generations.
As a leader in Singapore's vibrant financial services industry, you know AI's transformative impact. Yet, the recent emergence of generative AI (GenAI) introduces unprecedented opportunities and challenges, particularly regarding regional scaling and regulatory compliance.
This exclusive roundtable will delve into these critical issues with fellow FSI IT, digital, and AI leaders. This is your chance to:
- Share insights: Discuss the current state of AI adoption within FSI and your organization's specific experiences.
- Decipher GenAI's true value: Cut through the hype to identify tangible GenAI use cases in the financial services industry and understand the obstacles to implementation.
- Discover fresh use cases: Learn where AI holds untapped potential to revolutionize financial services.
- Consider AI beyond LLMs: Explore alternative AI models that might be more cost-effective and purpose-driven for specific tasks.
- Grasp the role of process intelligence: Understand how process mining and automation can enhance GenAI deployments for maximum impact.
SPEAKERS
