Schedule | AI in Finance Summit London 2023

Day 1 25 Apr
Day 2 26 Apr

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FOCUS SESSIONS BEGIN AT 13:30
AI INFRASTRUCTURE
13:30

Bridging the Gap: Harnessing AI to Drive Business Growth in Finance
- How to overcome the challenges of aligning business and engineering on the AI journey
- Unlocking the power of process optimization to drive sustainable profitability
- Strategies for building a bridge between process and delivery in ai finance
- Best practices for implementing ai solutions that deliver real-world results
13:55

How to Implement and Scale AI from Innovation Centers to Enterprise-Wide Solutions
- Identifying the use cases and business problems that are best suited for AI solutions, and how to prioritize them
- Developing an AI strategy and roadmap that aligns with the organization's overall business objectives
- Building a team and infrastructure to support the implementation and scaling of AI
- Addressing the technical and organizational challenges that arise when scaling AI from innovation centres to enterprise-wide solutions, such as data governance and security
- Measuring the business impact of AI solutions to key stakeholders and decision-makers, to secure buy-in and funding for further scaling
14:20

The Future of Financial Services - Enabling Competitive Advantage through MLOps

Jonathan Fry - Head of MLOps - LV=General Insurance
- How to adopt MLOps in your company and the ML lifecycle
- Reducing time on data collection with MLOps
- Understand the technical aspects of MLOps (Machine Learning Operations) and its importance in the financial services industry
- Learn about the latest MLOps practices and tools such as automated model selection, versioning, deployment, and monitoring
- Discover how to use MLOps to improve the development and deployment of machine learning models
- Explore the use of MLOps in various financial services applications, such as risk management, fraud detection, and customer service
14:45

Unlocking the Power of Natural Language Processing: Transforming Data into Meaning
- Are you making the most of your NLP programmes?
- Different Use Cases of NLP in Financial Services
- Learn how to harness the power of NLP to extract valuable insights from unstructured data
- Discover new ways to improve the accuracy of predictive models using NLP techniques such as sentiment analysis and topic modelling
15:10

Afternoon Tea & Networking in the Exhibition Area
CUSTOMER CENTRIC FINANCE
15:40

Predicting Consumer Financial Behaviour Using Artificial Intelligence and Machine Learning
- Utilizing predictive modelling to analyse historical data and identify patterns that can be used to predict future consumer behaviour
- Implementing customer segmentation using AI and ML algorithms to effectively target marketing and sales efforts
- Utilizing AI and ML algorithms for fraud detection, identifying unusual or suspicious behaviour
- Using AI and ML to assist in risk assessment of loans or investments, analysing creditworthiness and market stability
16:05

Delivering Hyper-Personalised Customer Experience at Scale
- How can we improve user experience and customer service with AI?
- Are there any drawbacks to hyper-personalisation?
- Capturing the right data to deliver a Hyper-Personalised Customer Experience
- Enriching customer behavioural data to add valuable context to customer profiles
- Ensure your content is being seen, and that your analytics are providing accurate engagement results
16:30

PANEL: Traditional VS AI Advantage
PANELIST
- What should be prioritised when it comes to changing the traditions in your organization?
- Pros and cons of AI vs traditional methods
- Convincing the board and higher ups of the value of AI
- Is AI worth it, will the benefits of adding AI to your organization outweigh the cost and risks?
17:00

Networking Reception in the Exhibition Area
18:00

END OF DAY ONE

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08:00

Coffee & Registration in the Exhibition Area
09:00

WELCOME NOTE & OPENING REMARKS
CONVERSATIONAL AI
09:15

AI-Powered Self-Service: Transforming the Financial Industry with Virtual Assistants
- How can you evolve your conversational agents for customer service?
- How Self-service allows for quicker resolutions
- Discussion of the benefits of using virtual assistants for customer self-service
- Best practices for designing and implementing virtual assistants in customer self-service
- How to measure the effectiveness of virtual assistants in customer self-service in the financial industry
09:40

Chatbots vs Fraud: How AI is Changing the Game
- Learn about the ways in which chatbots and AI are changing the game in fraud prevention
- Discover how chatbots can enhance the customer experience by providing 24/7 availability and quick resolution of inquiries and issues
- Understand how chatbots can assist in detecting and preventing fraud by analysing customer behaviour and identifying suspicious patterns
- Learn about the benefits of using AI-powered chatbots in fraud prevention, such as reducing costs and becoming more effective over time
10:05

Improving the Customer Journey with Conversational AI
- What are the Conversational AI systems that are worth your time?
- Would Conversational AI improve your customer’s experience?
- Increasing engagement and loyalty with Conversational AI
10:30

Mid-Morning Coffee Break in the Exhibition Area
AI SOLUTIONS FOR FINANCIAL SERVICES
11:00

Maximizing the Value of Your Data for AI Applications
- Understand the latest techniques for leveraging your existing data to train and improve AI models
- Learn how to use techniques such as feature engineering, feature selection, and data augmentation to improve model performance
- Discover how to use pre-training and transfer learning to leverage existing data for new tasks
- Explore the use of active learning and human-in-the-loop techniques to optimize the use of limited labelled data
11:25

How AI is Changing Underwriting and Claims Processing for Insurance Companies
- Understand how neural networks can be used to improve predictions and decision-making in underwriting, claims and pricing
- Understand the technical aspects of AI techniques such as Machine Learning, Natural Language Processing, and Computer Vision for underwriting and claims processing
- Learn about the latest AI-based underwriting and claims-processing models
- Discover how to use AI models for automated underwriting and claims processing
- Explore the use of AI-based techniques for fraud detection and claims triage, such as anomaly detection and unsupervised learning
11:50

Boosting the Power of RPA using AI and ML Technologies
- Best practices for organizations looking to implement AI-powered RPA in their operations
- Understanding and addressing the challenges and limitations of using AI in RPA such as data privacy and security concerns
- How can AI be integrated with RPA for tasks such as fraud detection, loan underwriting, and compliance management?
- What are the best practices for implementing AI-powered RPA in financial operations?
12:15

AI-Driven Portfolio Optimization for Investment Strategies
- Learn about the latest AI-based techniques for portfolio optimization and asset allocation
- Understand the benefits of using machine learning and deep learning methods for portfolio optimization
- Discover how to use techniques such as reinforcement learning, evolutionary algorithms, and Bayesian optimization to improve portfolio performance
- Explore the use of AI-driven portfolio optimization in various investment scenarios and market conditions
12:40

LUNCH

Focus Sessions schedule

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