Name: How to Use AI to Drive Value in Insurance: Lessons From Zurich Insurance UK
Start: 2024-08-20T10:00:00Z
End: 2024-08-20T10:00:29.000Z
Location: BrightTALK
Rating: 4.7

Data is the foundation of any organization and therefore, it is paramount that it is managed and maintained as a valuable resource. 

Subscribe to this channel to learn best practices and emerging trends in a variety of topics including data governance, analysis, quality management, warehousing, business intelligence, ERP, CRM, big data and more.

In a world where AI, automation, and digital systems are advancing faster than most organizations can keep pace, the real differentiator isn’t the technology itself, it’s the culture behind it. Innovation cannot thrive in environments where teams are overwhelmed, siloed, or unclear about how to adapt. In this session, Theo Harvey reveals how leaders can build a foundation for continuous innovation, enabling teams to navigate uncertainty with confidence and creativity.

Drawing from his two decades as a senior engineering leader at Cisco and his current work as CEO & Co-Founder of SynsorMed—a Google-backed digital health company—Theo shares practical frameworks for cultivating accountability, adaptability, and human-centered innovation. Attendees will learn how to shift from reactive problem-solving to proactive idea generation, fostering a culture where creativity is an everyday practice rather than a special event.

Whether your organization is scaling AI adoption, modernizing information systems, or leading large-scale transformation, this session provides actionable strategies for aligning people, processes, and technology. The result: teams that are more engaged, more empowered, and more equipped to turn complexity into opportunity.

Attendees will learn:
- How to build a culture where innovation is habitual, not hierarchical.
- The connection between accountability, adaptability, and creativity.
- Frameworks for driving progress amid uncertainty and rapid technological change.
- How to inspire teams to turn ideas into implementation with speed and clarity.

Innovation Starts With You: Building a Culture of Creativity in the Age of AI

Healthcare organizations are generating more data than ever before, yet meaningful insights remain out of reach due to siloed systems and fragmented infrastructures. In this session, Anita Nayak, Founder and CEO of ClinDCast, explores how interoperability is transforming healthcare analytics from reactive reporting to real-time intelligence. She’ll reveal how breaking down data silos across EHRs, labs, and payer systems can dramatically enhance decision-making, predictive accuracy, and patient outcomes.

Through real-world examples, Anita will share how ClinDCast has helped healthcare networks unify disparate data sources using HL7 FHIR, API orchestration, and master data mapping frameworks. Attendees will gain a practical understanding of how integrated data models reduce manual reporting, strengthen clinical insights, and enable proactive care delivery.

Participants will leave with actionable strategies to:
- Build interoperable data architectures that scale analytics.
- Overcome technical and organizational barriers to data integration.
- Champion a culture of data ethics, integrity, and shared accountability.

Join this session to learn how interoperability is not just a technical goal—but a strategic pathway to better care, smarter operations, and a truly connected healthcare ecosystem.

Bridging Data Silos: How Interoperability is Shaping the Future of Healthcare Analytics

In the world of business analytics, technical accuracy does not equate business impact. Without the trust of leadership, even the most sophisticated analytics models fail to translate data into action. Data managers must recognize the critical gap is not in the data, but in the narrative they present. 

In this session, Google’s Jiaxi Zhu will introduce a four-part, narrative-driven analytics framework for bridging the divide between analytics and real-world business outcomes. 

Through in-depth examples, he will demonstrate how to:
- Design analytics models with action in mind.
- Frame outputs in a decision-ready context. 
- Shape complex insights into coherent, compelling stories that drive action.

From Insights to Impact: Building Narrative-Enabled Analytics to Drive Executive Decision-Making

By 2026, most organizations aren’t struggling with a lack of data — they’re struggling with turning that data into something leaders can actually use. The gap between “collecting data” and “making decisions with it” has never been wider. This session will help you to close that gap.

Tune into this webinar from CEO and industry thought leader Eugina Jordan to learn:
- What’s changing in 2026: the rise of governed AI access, unified metadata layers, predictive correlation engines, and analytics workflows that run continuously instead of once a quarter.
- A clear, step-by-step architecture for building analytics that scale — from data ingestion and quality controls to semantic layers and real-time operational dashboards.
- How to govern AI and analytics together, so insight generation doesn’t outpace your security or compliance posture. RBAC/ABAC integration, auditability, data lineage requirements, and context-aware access policies. 
- How to enable self-service analytics while protecting quality and preventing shadow AI or shadow dashboards.
- How to prove ROI, with simple ways to tie analytics outcomes to operational efficiency, revenue lift, or risk reduction.
- Case studies showing how companies reduced insight lag, increased forecast accuracy, and improved decision velocity by fixing just a few critical parts of their data pipeline.

If you want a session that gives you frameworks you can implement immediately, this is it. You’ll leave with a checklist, a reference architecture, and actionable steps to build a data organization that finally produces insights leaders trust — and use.

2026 Data Insights Playbook: How to Build It, Govern It, and Prove ROI

Organizations are investing more in data than ever, yet many still struggle to translate those assets into clear, actionable insights. In this session, industry thought leader Farid Sheikhi will explore practical strategies to eliminate data chaos, strengthen governance, and build an insights-driven enterprise equipped for 2026 and beyond.

Attendees will learn:
- How to eliminate data chaos by strengthening governance, definitions, and data visibility across the enterprise.
- A practical blueprint for becoming an insights-driven organization, including the maturity stages that matter in 2026.
- How to operationalize analytics and GenAI so insights move beyond dashboards and drive real decision-making.
- Actionable strategies to convert data investments into measurable business impact, including culture, process, and technology enablers.

From Data Chaos to Clarity: Building an Insights-Driven Enterprise in 2026

The customer journey doesn't live in one department. It stretches across marketing, sales, finance, and support — and along the way, manual processes, disconnected tools, and slow handoffs create gaps that frustrate customers and weaken business performance. From invoices that go unpaid, to limited visibility into cash flow, to rising churn, enterprises are feeling the impact of these disconnects in tangible ways that affect the bottom line.

This session cuts through the GenAI hype to focus on practical, safe, and measurable implementation across end-to-end customer process flows. You'll discover methodologies for identifying which problems are worth solving first, how to integrate manual and digital steps into one intelligent workflow, and where human oversight remains essential to prevent costly mistakes. We'll also dig into real-world strategies for managing GenAI's inaccuracies — ensuring invoices are correct, forecasts are reliable, and customer interactions build trust instead of risk.

Join Eugina Jordan, CEO and Co-Founder, YOUnifiedAI, as she reveals proven approaches to GenAI implementation that deliver measurable business outcomes across critical enterprise functions.

- Identify high-ROI opportunities for GenAI implementation across three critical workflows: invoicing, cash flow management, and customer retention
- Implement effective human-in-the-loop protocols that mitigate GenAI hallucinations while maximizing automation benefits
- Design cross-functional workflows that eliminate departmental silos and create seamless customer experiences
- Develop practical metrics to measure GenAI's impact on revenue acceleration, operational efficiency, and customer satisfaction
- Apply a strategic framework for scaling successful GenAI implementations across your organization

Transforming the Customer Journey with GenAI Across the Enterprise

Support teams are at a critical inflection point, with GenAI reshaping customer expectations overnight. While automation promises efficiency, it often creates impersonal experiences that damage loyalty. The most successful organizations are discovering that GenAI's true power lies not in replacing human interactions, but in strategically enhancing them at every touchpoint.

Generative AI offers transformative potential for support experiences, but only when implemented with a human-centered approach. This session defines GenAI specifically within the support context and explores practical applications that benefit both end-users and support agents. You'll discover how intelligent automation can scale operations while simultaneously improving satisfaction metrics across your support ecosystem.

Join Phyllis Drucker (Influencer, EZ2BGR8 Service Management) to explore proven frameworks for implementing GenAI solutions that put people first while driving measurable business outcomes.

Key Takeaways:

- Find the right balance between scaling support operations and maintaining customer satisfaction
- Implement GenAI-powered chatbots that deliver near-human experiences through contextual understanding
- Create customized, tailored responses that increase satisfaction and engagement 
- Establish measurement systems that quantify GenAI's impact and inform future initiatives
Develop a practical roadmap for implementing GenAI in support functions, regardless of your starting point

Human-Centered GenAI Support: Winning Customer Loyalty in the Automation Era

Despite massive investment and executive enthusiasm, most organizations implementing GenAI remain stuck in perpetual pilot purgatory. Behind the headlines and hype, a select group of companies has quietly crossed the chasm from experimentation to enterprise-wide transformation—achieving what their competitors merely discuss in boardrooms. Their secret isn't better technology, but rather a systematic approach to implementation that balances ambition with pragmatism.

GenAI's true power lies in enterprise-wide applications—reimagining customer experiences, supercharging product innovation cycles and transforming operational efficiency across every business function. The question isn't whether to implement GenAI, but how quickly you can transition from experimentation to organization-wide transformation while balancing innovation with responsible governance and ethical considerations.

Join Pankul Chitrav (Application Release Engineer, TD Bank) to discover how your organization can build an actionable GenAI roadmap that delivers immediate business impact while positioning you for sustainable competitive advantage.

Key Takeaways:

- Explore how leading organizations are applying GenAI to create tangible business value across functions
- Learn specific strategies to expedite product development, content creation, and decision-making through GenAI implementation
- Master techniques for streamlining operations while delivering hyper-personalized services at scale
- Gain actionable insights on governance frameworks, ethical considerations, and sustainable GenAI adoption strategies

Unleashing Generative AI: Transform Business Strategy from Concept to Competitive Edge

With AI tools exploding, organizations today are bombarded with new technical tutorials and prompt engineering tactics. But they often become obsolete within weeks. While competitors chase fleeting GenAI techniques, the true competitive advantage lies not in mastering specific tools, but in cultivating something far more fundamental. This presentation reveals the missing catalyst that transforms GenAI from a specialized technology into an organization-wide force multiplier.

The challenge isn't in teaching your teams how to use GenAI—they're already adopting it in their personal lives. It's in creating an environment where innovation flourishes organically across all levels of your organization. Brian Kirsch demonstrates why empowering employees to apply their unique job expertise to GenAI implementation delivers more sustainable results than top-down technical approaches. Learn how to establish the right framework that enables continuous innovation without requiring constant retraining as the technology evolves.

Join Brian Kirsch, IT Instructor and Industry Expert, to discover the one evergreen principle that drives successful GenAI adoption across organizations of all sizes.

Key Takeaways:

- Understand why traditional GenAI implementation approaches fail to deliver lasting competitive advantage
- Learn to empower employees at all levels to become drivers of AI innovation without technical expertise
- Discover a sustainable framework for GenAI adoption that remains effective despite rapid technological changes
- Gain practical strategies for fostering an environment where AI-driven innovation flourishes organically
- See real-world examples of how simple ideas can create profound change across departments

Unlocking the Secret to Sustained Innovation with GenAI

Generative AI is rapidly transforming collaboration by enabling capabilities such as summarization, workflow automation, translation and more. Generative AI offers the potential to fundamentally transform how teams and individuals collaborate and create, eliminating mundane activities and fostering innovation.

In this session, we’ll explore how Generative AI is changing the workplace collaboration landscape, including availability of tools within collaboration applications, third-party tools, and studios enabling custom AI tool creation. We’ll look at organizational strategies and share real-world examples of approaches that achieve measurable success. We’ll also look at security, compliance, and governance concerns to minimize risk.

Key Takeaways:

- Learn how to identify and implement the right Generative AI tools for your team's specific needs, whether that means using built-in features in existing applications, integrating third-party solutions, or building custom tools for unique workflows.
- Understand how to create a foundational strategy for introducing Generative AI into your organization, including understanding which collaborative tasks can be automated to free up time for strategic work.
- Gain knowledge to evaluate and address security, compliance, and governance risks associated with Generative AI, enabling you to implement these tools responsibly and minimize potential liabilities.
- Discover how to measure the success of Generative AI initiatives by measuring before and after improvements resulting from implementation.

Leveraging Generative AI to Improve Collaboration

Storytelling is one of humanity's oldest tools—yet in the corporate world, its power remains largely untapped. Every day, brilliant business ideas die silently, buried beneath technical specifications and corporate jargon. The result? Missed opportunities, disengaged stakeholders, and strategies that never reach their potential. What if you could break this cycle and transform how your ideas are received and implemented?

With GenAI, business leaders can go from dense and technical business language to persuasive narratives that connect and convert. By leveraging AI-powered storytelling techniques, operations leaders, IT professionals and transformation executives can overcome the traditional disconnect between technical teams and business decision-makers, creating alignment that accelerates adoption and drives measurable outcomes. For professionals working in enterprise processes, AI operations, and digital transformation, this capability isn't just nice-to-have—it's essential for ensuring your initiatives receive the right support and resources.

In this session, Inigo Antolin (Head of Data Management and Governance at The British Council) reveals how to harness GenAI to transform your business communication from forgettable presentations into strategic narratives that drive action and results.

Key Takeaways

- How the storytelling gap is undermining enterprise process improvements and technology adoption in data-driven organizations
- Practical frameworks for using GenAI to translate complex technical concepts into compelling business narratives
- Techniques to customize your storytelling approach for different stakeholders across the enterprise
- Ready-to-implement GenAI tools and prompts that enhance communication effectiveness without requiring creative expertise
- Measurable business outcomes achieved by organizations that have mastered GenAI-powered storytelling in process transformation initiatives

GenAI Storytelling: Turning Technical Complexity into Business Impact

Customer retention has never been more important - or challenging. With rising acquisition costs, keeping the customers you already have is paramount, but they're constantly bombarded with competing offers. The key to standing out and fostering loyalty lies in delivering personalized experiences that make them feel valued and understood. Are you truly leveraging your customer data to create these stickier relationships?

The surge of customer data coupled with fragmented digital touchpoints presents a complex challenge. Many companies are overwhelmed - struggling to translate raw data into actionable insights and personalised experiences that resonate with individual customers. Traditional marketing tactics fall short, leading to missed opportunities to build lasting relationships, drive loyalty, and achieve sustainable growth. This is precisely why embracing a connected customer strategy has never been more critical.

Join Anna Samkova, Co-Founder & Strategic Advisor at Albany Advisory, for this session to explore how to unlock exponential growth by turning customer data into personalized experiences with the C.L.I.E.N.T. Growth Framework.

Key Takeaways:

- Implement the C.L.I.E.N.T. Growth Framework to transform raw customer data into a powerful engine for personalization
- Discover proven strategies to activate data in ways that feel personal, purposeful, and commercial
- Gain actionable insights into what truly meaningful personalization looks like in 2025 and beyond – and how to deliver it effectively
- Identify and avoid common personalization pitfalls that can damage customer trust and undermine your ROI
- Understand how to build a connected customer strategy that drives customer lifetime value, loyalty, and sustainable revenue growth

The C.L.I.E.N.T. Growth Framework: Your Roadmap to Personalized CX Success

Sustainability has become a defining element of modern customer experience (CX), shaping how companies build trust, deliver value and foster long-term relationships. Today’s stakeholders expect more than responsiveness and services; they want transparency, environmental accountability and data-driven insights.  

CHEP's transformation from traditional platform provider to data-driven sustainability partner illustrates how organizations can turn environmental commitments into competitive advantages. By embedding circular economy principles into customer touchpoints, companies create dual value: reducing environmental impact while enhancing customer relationships through transparency, efficiency and shared purpose. This approach transforms sustainability from a compliance exercise into a powerful engine for customer loyalty and operational excellence.

Hear from CHEP leaders on how sustainability is reshaping customer experience expectations across industries.

Key Takeaways:

- Insights for embedding sustainability metrics and circular innovation across customer touchpoints 
- How transparent environmental reporting strengthens customer relationships and reduces friction points
- Techniques for leveraging digital systems to enable circular business models and quantify sustainability impact
- Methods for integrating self-service platforms with predictive analytics to deliver more sustainable, responsive service

Accelerate Loyalty Through Circular Innovation in Today's Sustainability Market

Customer conversations contain strategic revelations that most executives never hear, yet these unfiltered moments often predict market shifts before formal data ever could. Although 84% of CX leaders advocate for bringing these insights to the executive table, many organizations still treat customer interactions as operational noise rather than the strategic signal they actually represent. 

Although 48% of companies now employ interaction analytics, many struggle to effectively distribute these insights beyond the contact center. Additional advantages come fromsystematically analyzing customer interactions to inform product development, marketing strategies, and executive decisions; creating a unified approach to customer experience that drives measurable business outcomes and strengthens customer loyalty across the entire journey. 

Join Robin Gareiss, CEO of Metrigy, as she shares research-backed strategies that transform conversation data into business value. 

Key Takeaways: 

- Discover which conversation metrics deliver the most substantial business intelligence and how to capture them effectively 
- Learn practical frameworks for distributing interaction insights across departments to create organization-wide customer-centricity 
- Understand how to quantify the ROI of conversation intelligence through improved business metrics and enhanced customer satisfaction 
- Gain actionable implementation strategies that work regardless of your current analytics maturity

Conversation Intelligence: The Hidden Gems that Impact all Business Decisions

Your customer just spent 15 minutes navigating your support portal only to end up exactly where they didn't want to be: on hold with your call center. This all-too-common scenario reveals the main flaw in how organizations approach digital self-service: designing for scale rather than CX success. 

Unfortunately, customer portals are often designed primarily to eliminate contact via more costly resources. When designed solely to scale support, they fail to meet the CX mark. The best portals humanize the digital experience by understanding the customer's journey and anticipating needs before frustration sets in.

This session examines the critical need to balance operational efficiency with customer-centered design principles that transform portals from necessary evils into preferred channels.

Join Phllis Drucker (Influencer, EZ2BGR8 Service Management) to explore how to achieve great CX results through innovative portal design that puts customers first while still delivering operational benefits.

Key Takeaways:

- Identify common pitfalls that typical portals fall into and how to avoid them
- Apply customer journey mapping techniques to create intuitive, emotionally intelligent digital experiences
- Implement a practical roadmap for designing and innovating a new portal experience
- Measure the true ROI of your portal beyond call deflection metrics
- Balance automation with human touchpoints to create meaningful digital interactions

Humanizing Digital Portals: Transform Self-Service in the Age of CX Expectations

The AI implementation paradox haunts contact centers everywhere. With sophisticated technologies being deployed and substantial investments made, the promised revolution in efficiency and experience remains frustratingly slow. This disconnect between expectation and reality has left many CX leaders questioning whether their AI strategy has missed the mark.

 

The challenge lies not in the technology itself, but in how it's implemented and aligned with broader business objectives. As contact centers evolve into multi-channel customer engagement hubs, simply layering AI onto existing processes isn't enough. Success requires thoughtful integration that considers both customer and employee perspectives, proper design principles and strategic alignment with business goals.

 

Join Catriona Howell, CX Consultant, for an insightful case study exploration that reveals how to bridge the gap between AI implementation and meaningful business outcomes in the modern contact center.

 

Key Takeaways:

 

Identify common pitfalls that prevent AI and automation from delivering expected results in contact center environments
Discover practical strategies for aligning technology implementation with both customer and employee experience goals
Learn how to design AI solutions that enhance rather than hinder the human elements of customer service
Understand how properly implemented contact center AI can generate broader business value through customer insights and engagement

Beyond Automation: Unlocking Real Value from AI in the Contact Center

The AI implementation paradox haunts contact centers everywhere. With sophisticated technologies being deployed and substantial investments made, the promised revolution in efficiency and experience remains frustratingly slow. This disconnect between expectation and reality has left many CX leaders questioning whether their AI strategy has missed the mark.

The challenge lies not in the technology itself, but in how it's implemented and aligned with broader business objectives. As contact centers evolve into multi-channel customer engagement hubs, simply layering AI onto existing processes isn't enough. Success requires thoughtful integration that considers both customer and employee perspectives, proper design principles and strategic alignment with business goals.

Join Catriona Howell, CX Consultant, for an insightful case study exploration that reveals how to bridge the gap between AI implementation and meaningful business outcomes in the modern contact center.

Key Takeaways:

- Identify common pitfalls that prevent AI and automation from delivering expected results in contact center environments
- Discover practical strategies for aligning technology implementation with both customer and employee experience goals
- Learn how to design AI solutions that enhance rather than hinder the human elements of customer service
- Understand how properly implemented contact center AI can generate broader business value through customer insights and engagement

Beyond Automation: Unlocking Real Value from AI in the Contact Centre

Small and medium enterprises are drowning in data while starving for insights. With unstructured data projected to represent up to 90% of all enterprise data by late 2025, and only 35% of SMEs leveraging cloud-based analytics, there's an enormous untapped potential for competitive advantage. In today's AI-driven landscape, the ability to transform raw data into actionable intelligence isn't just beneficial—it's essential for survival and growth.

While large enterprises deploy specialized teams and substantial budgets to tackle data challenges, SMEs face unique obstacles in extracting value from their information assets. Without proper frameworks for data cleansing, integration, and governance, organizations risk making critical decisions based on flawed insights. This session delivers practical, cost-effective strategies specifically designed for businesses without enterprise-scale resources, helping you navigate regional compliance variations and integrate data across disparate systems to drive measurable ROI.

Join Eugina Jordan (CEO and Co-founder of YOUnifiedAI) to explore proven methods for converting data chaos into strategic advantage.

Key Takeaways:
- Practical frameworks for effectively managing both structured and unstructured data sources
- Step-by-step methods for ensuring data quality and integrity across your organization
- Integration strategies that bridge legacy systems with modern platforms without breaking the budget
- Governance approaches that address regional compliance variations while maintaining data accessibility
- Real-world examples of SMEs that have successfully converted disparate data into revenue-driving insights

From Data Chaos to ROI: Practical Frameworks for SMEs

IT departments in financial institutions have a lot on their plate. From a heightened focus on digitization to increased market diversity, there are a variety of trends testing the strength of those teams and their organizations.

But regardless of what’s going on in the world, one thing remains the same: the highest performing financial institutions are those that focus on resilience, commit to cost reduction, and put servicing current customers at the heart of every decision. To achieve that state of business, you need to unlock a level of scalability and fault tolerance that legacy applications can’t deliver.

In this webcast, you’ll gain practical guidance for moving to a new paradigm with the cloud. Register for free now to join industry experts and CFOs as they explore the challenges and opportunities for financial institutions in the cloud era.

Cloud and Hybrid Identity Solutions for Financial Services

Join us for an in-depth webinar where we will explore the transformative power of generative AI in the highly regulated financial services industry. This session will delve into the technical and business aspects of AI and cloud integration, with a focus on compliance, talent development, data quality and accessibility, and practical implementation.

Topics:
1. Integrating GenAI in Financial Services: Understand how generative AI models can enhance financial operations within regulatory frameworks, including detailed use cases and implementation strategies.
2. Developing AI Talent: Explore approaches to building and nurturing AI expertise within your organization to maximize its potential while adhering to industry standards.
3. Data Accessibility and Security: Learn how to manage and secure vast amounts of data in the cloud (private or public), ensuring efficient, compliant, and secure AI implementations.

Key Takeaways:
1. Strategic AI Integration: Gain deep insights into effectively incorporating genAI, enhancing capabilities such as risk assessment and customer service while navigating regulatory challenges.
2. Talent Development: Discover actionable strategies for training and retaining AI talent to drive your organization’s transformation within a regulated environment and ready for the future.
3. Data Management and Security: Learn best practices for managing data in the cloud, ensuring both accessibility for AI applications and stringent security to protect sensitive information and comply with regulations.

This webinar is designed for financial professionals, IT leaders, and business strategists eager to leverage AI and cloud technologies within the confines of a regulated industry. Attendees will walk away with actionable insights and practical knowledge to implement AI solutions, ensuring their financial services are at the forefront of innovation while remaining compliant.

Harnessing AI in the Cloud Era: Transforming Finance with Gen AI

Is traditional payment processing becoming obsolete? If you think it might be, this session is for you! We'll explore the transformative impact of Generative AI (GenAI) and other cutting-edge technologies on the payment industry, focusing on creating new revenue streams and enhancing customer experiences. This session covers the fundamental elements of leveraging GenAI in payment solutions and how these emerging trends are reshaping the financial landscape.

Key topics and takeaways include:
- Utilizing GenAI algorithms like GANs, VAEs, RNNs, and CNNs to revolutionize payment processing.
- Seamless payment mechanisms for mobility and transportation.
- Ensuring safe online transactions for gaming.
- Expanding real-time digital payments globally while reducing fraud.
- Creating end-to-end digital experiences for loan approvals.
- Enhancing transaction safety across all networks using advanced authentication methods.
- Optimizing account-to-account transactions for cost and latency.


As participants will learn, GenAI is set to transform every aspect of the payment industry. Discover how to harness these technologies from an expert in the field who focuses on innovative solutions to real-world financial challenges!

About the Speaker 
Sandhya Kapoor, VP of Technology at PayPal, is a fintech and e-commerce expert with over 20 years of global experience in product development. She specializes in leveraging advanced AI/ML techniques and cloud computing to architect and deliver innovative solutions across various industries, including insurance, banking, supply chain, and logistics. Sandhya has a proven track record in improving performance at scale and driving technological advancements in the financial sector.

Innovations in Payment Industry using GenAI: Reimagining Financial Transactions

Quantum computing stands at the forefront of technological innovation, promising to revolutionize various industries, with financial services being one of the most significant beneficiaries. From automating complex trading strategies to optimizing risk management and portfolio diversification, quantum computing is set to revolutionize financial decision-making processes. Also, by leveraging the power of quantum algorithms, financial institutions can achieve unprecedented computational speeds and accuracy, enabling them to solve problems previously deemed intractable.  

In this session, Youssouf Traore (Deeptech Investor, MARTRAM Ventures) delves into the core principles of quantum computing and its applications within the financial sector. He shares real-world examples and case studies, illustrating how quantum computing is being used to enhance predictive analytics, improve fraud detection, and streamline regulatory compliance.  

Topics for discussion include: 
- The basic principles of quantum computing and how it differs from classical computing. 
- Use cases of quantum computing to transform decision-making in financial services. 
- Insights from case studies demonstrating how quantum algorithms can be leveraged in financial institutions. 
- The advantages of quantum computing in financial services and the technological and operational challenges involved in its adoption. 
- The future of quantum computing in finance and how to prepare for the technological shift. 


About the Speaker
As an early-stage investor in Deep Tech, I am an Adjunct Professor at IE Business School and IE School of Science and Technology, where I lead the "Deep Tech Venturing and Investment" elective course. I also serve as a Leadership Team Member at the Entrepreneurship Forum Spain and Board Member at the MIT Club of Spain, dedicated to fostering innovation and entrepreneurship.

Optimize Decision-Making Outcomes in Financial Services with Quantum Computing

In the finance sector, AI is revolutionizing tasks such as credit scoring, fraud detection, chat box, algorithmic trading and risk management. However, the complexity of AI models necessitates explainability to ensure transparency, compliance, and customer trust. Without clear insights into AI decisions, financial institutions risk regulatory penalties and eroded customer confidence.

Achieving explainability cannot only be an after-though with post-hoc explanation techniques like SHAP and LIME. While these methods clarify complex AI outputs, ensuring stakeholders understand and trust the decision-making process, they are not enough. A robust framework is required to secure appropriate transparency and explainability. It starts on day zero and needs to include planning, documentation, monitoring and modelling choices as well as the use of readily available validations further enhance transparency and ultimately 

Join us to explore how leading financial institutions can successfully implement AI explainability, improving compliance, risk management, and customer trust. Learn best practices and practical techniques to make AI-driven decisions clear and accountable.

Key Takeaways
- Regulatory Compliance: Meet requirements and avoid penalties.
- Risk Management: Identify and mitigate AI-related risks.
- Customer Trust: Enhance confidence with transparent AI decisions.
- Model Development and Validation: Facilitate thorough audits and validations.
- Best Practices: Monitor continuously, train staff, and foster transparency.

AI Explainability in Finance: Why and How

As cloud computing continues to integrate with traditional IT operations, a closer look at the true cost of digital transformation has uncovered some unfortunate truths – some cloud services are more expensive than they were expected to be. 

This is especially true for Infrastructure-as-a-Service (IaaS) and cloud storage in particular. The majority of IaaS providers, the global hyper scalers, include a plethora of miscellaneous fees that results in double or triple the list price. As datasets grow 20-40% year over year and utilization bounces from quiescent to very active, the result is an unpredictable billing that breaks budgets and forces decisions between meeting retention compliance requirements and long term retention of data assets that could prove valuable in an AI-driven future. 

We will explore the fee problem, typical for the hyper scalers offerings, and shape a framework for evaluating alternative offerings. Ultimately, we’ll define an ideal cloud storage offering that provides a predictable cost to support the goals of innovation and discovery for enterprises need to drive to gain a competitive advantage in their respective industry. 

Join this session to understand - 
- What IS the fee problem prevalent with IaaS 
- What the leading marketing survey shows about cloud costs 
- How to find a predictable IaaS cloud storage offering that helps drive innovation and discovery 

Speakers:  
- Drew Schlussel, Senior Director of Product Marketing, Wasabi Technologies

Maximize Your Cloud Storage ROI, Minimize Excess Fees

The advent of cloud computing has ushered in a new era of financial services, characterized by unprecedented levels of innovation, agility, and scalability. As the finance sector grapples with the dual challenges of increasing regulatory scrutiny and rapidly changing consumer expectations, the cloud emerges as a pivotal force for transformation. This presentation aims to dissect the multifaceted impact of cloud technology on the finance industry, highlighting key strategies for leveraging cloud computing to foster innovation and competitive advantage.

We will delve into the core aspects of cloud-powered financial innovation, beginning with an exploration of how cloud technology is reshaping traditional banking, investment, and insurance models. We will examine case studies of fintech startups and established financial institutions that have successfully harnessed the cloud to launch innovative services, improve operational efficiency, and enhance customer experience.

Furthermore, the presentation will address the critical role of security, compliance, and data governance in cloud-based financial services. With the increasing frequency and sophistication of cyber threats, we will discuss best practices for securing sensitive financial data in the cloud, ensuring compliance with global financial regulations, and building trust with customers.

Navigating the Cloud: Driving Financial Innovation for Tomorrow’s Economy

If you work for a financial services firm or as a supplier, it is imminent you are familiar with forthcoming regulations impacting global cloud providers in 2025. These new regulations, based upon operational resilience, help prevent service failures that could lead to a ﬁnancial crisis.  

These new regulations will take effect within the European Union in January 2025 and for the U.K. in March 2025. A long time in the planning, the EU Digital Operational Resilience Act (DORA) and the UK Bank of England (BoE) Operational Resilience Policy may introduce stresses for customers and suppliers but in the long-term, offers relievers to help mitigate service disruptions. 

Tune into this session presented by business continuity, disaster recovery, cyber resilience and major incident expert Steve Yates, as he shares his views to transform ﬁnance in the cloud era. Yates will explore current global operational resilience regulations, whilst exploring the beneﬁts to cloud users and suppliers such as no need for “lock-in” contracts. In addition, he’ll provide real case studies supporting the need for such changes, and why this compliance is the only way forward. Viewers are encouraged to share, in conﬁdence, their major concerns before the presentation if they wish to gain the most from this session. 

By the end of the session, you will be able to understand:
- The scope of the changes being made and benefits they will bring.  
- Operational resilience framework to support business operations.
- How this new regulation aims to create a formal partnership between the customer and supplier.

Transforming Finance in the Cloud Era: What are the Stresses and Relievers?

Transforming Finance in the Cloud Era

AI is set to revolutionize how we work, but delivering value with it can be challenging especially in a large organization. From navigating complex data landscapes to addressing regulatory concerns and overcoming resistance to change, the path to successful AI implementation isn’t easy. 

In this session, Jonathan Davis (Head of Data Science, Zurich Insurance UK) shares how he and his team have been navigating this challenge and what they’ve learned in terms of culture, skills and technology. 

Join the session to discover: 
- How to set up a central data science team with a focus the skills and culture required to make a success of AI initiatives.
- Strategies to find the right projects and what a successful one looks like. 
- Examples of where Zurich UK has been using AI to drive value.
- Predictions for the future of AI in insurance and how to prepare for it. 
- And more...

How to Use AI to Drive Value in Insurance: Lessons From Zurich Insurance UK

Artificial Intelligence

Data Science

Insurance

AIOps

Strategic Planning

Business Intelligence

Enterprise applications have become a crucial piece of infrastructure for many businesses. The enterprise applications community on BrightTALK features the latest insights in enterprise application integration, enterprise application architecture and EAS software. Join the community to gain access to thousands of videos and webinars presented by recognized enterprise information systems experts and arm yourself with the knowledge you need to succeed.

Enterprise Applications

Practicing business intelligence allows your company to transform raw data into sets of insights for targeted business growth. The business intelligence and analytics community on BrightTALK is made up of thousands of data scientists, database administrators, business analysts and other data professionals. Find relevant webinars and videos on business analytics, business intelligence, data analysis and more presented by recognized thought leaders. Join the conversation by participating in live webinars and round table discussions.

Business Intelligence and Analytics

Welcome to the big data and data management community on BrightTALK. Join thousands of data quality engineers, data scientists, database administrators and other professionals to find more information about the hottest topics affecting your data. Subscribe now to learn about efficiently storing, optimizing a complex infrastructure, developing governing policies, ensuring data quality and analyzing data to make better informed decisions. Join the conversation by watching live and on-demand webinars and take the opportunity to interact with top experts and thought leaders in the field.

Big Data and Data Management

As an IT professional, many of the problems you face are multifaceted, complex and don’t lend themselves to simple solutions. The information technology community features useful and free information technology resources. Join to browse thousands of videos and webinars on ITIL best practices, IT security strategy and more presented by leading CTOs, CIOs and other technology experts.

How to Use AI to Drive Value in Insurance: Lessons From Zurich Insurance UK

Presented by

About this talk

Business Intelligence and Analytics