Discover why everybody is talking about AI in finance – from commercial banking to insurance and investment, technologies such as RPA, NLP and ML are transforming internal processes and customer-facing activities alike. The Finance Summit is set to explore the most exciting AI use-cases from industry pioneers across the sector, delving into topics as varied as cybersecurity and customer personalization.

Key Themes
+ Augmenting process efficiency with RPA
+ NLU/NLP deployment for personalized banking experiences
+ Identifying and reacting to real-time insights powered by ML
+ Threat detection and prevention

Find out why AI is at the forefront of cutting-edge innovation in health and pharma – learn about trailblazing applications in disease diagnosis, drug discovery, patient care and more from the vanguard of the healthcare community.

Key Themes
+ ML and AI Enhanced Medical Image Analysis
+ Automating and Optimising Legacy Systems and Processes in a Clinical Setting
+ Precision Medicine and Personalised Patient Experience
+ Computational Drug Discovery and Drug Effectiveness

Bringing together both industry leaders and innovators, the AI Retail Summit with dive headfirst into the strategies and technologies setting the standard for transformation in the industry, from brick-and-mortar sites to the digital space.

Key Themes
+ Streamlining operations across the retail value chain
+ Future-proofing brick-and-mortar
+ Tools and strategies for next-gen ecommerce
+ Enhanced multichannel customer engagement

The Quantum Computing Summit London, co-located with The AI Summit, has been designed to provide business, technical, and academic insight, qualified via application-based quantum experiences to showcase how quantum is delivering real business value.

AI implementation in manufacturing is at an inflection point. The huge swathes of data owned by industrial organisations is providing AI and machine learning adopters with limitless opportunities to deliver new products, new business models, and greater insights into their business. This brand-new stage will be dedicated to AI the predictive, efficient, and intelligent future of the manufacturing industry.

Key Themes
+ Deploying and Monitoring The Impact of AI Prototypes in Live Production Environments
+ Building and Integrating Predictive Maintenance Capability for The Factory of The Future
+ Optimal Deployment of AI Models from Edge to Cloud in an Industrial Environment
+ Automating Product Quality Inspection and Optimising Resource Intensive Processes with ML

Find out why AI is at the forefront of cutting-edge innovation in health and pharma – learn about trailblazing applications in disease diagnosis, drug discovery, patient care and more from the vanguard of the healthcare community.

Key Themes
+ ML and AI Enhanced Medical Image Analysis
+ Automating and Optimising Legacy Systems and Processes in a Clinical Setting
+ Precision Medicine and Personalised Patient Experience
+ Computational Drug Discovery and Drug Effectiveness

Uncover why AI is instrumental for sales and marketing success as cross-industry experts share their solutions – whether it’s tailoring customer experience, supporting content generation, or enhancing sales strategy, there’s always room for better and faster.

Key Themes
+ Boosting sales and marketing team productivity with intelligent workflows
+ Leveraging data for targeted insights
+ AI as Creative Collaborator
+ Elevating and innovating customer interaction models

How is AI contributing to a better world? From healthcare and education, to energy and environmental policy, the Tech For Good stage will host businesses and governmental departments leveraging AI to make a positive difference to society.

Options for AI implementation range from network optimisation and predictive maintenance, to customer experience management and marketing chat bots. Join this one day training programme to understand the application and benefit of AI, predictive analytics, machine learning, etc. as a driver for business growth in marketing, sales, customer experience and Human Resources (HR) job functions.

One of the most compelling aspects of AI technology is its ability to enhance personalisation, to leverage deep data insights, as well as its predictive capabilities, and cognitive intelligence* (Ovum, Digital Consumer Insights Consumer AI report). This course offers attendees the right tools to understand the impact of AI and ML in marketing, sales, and CX and prepares them to harness AI to improve efficiencies across different business functions and help teams realise their full potential with new tech.

Python® has been around for decades, but it’s still one of the most versatile and popular programming languages out there. Whether you’re relatively new to programming or have been developing software for years, Python is an excellent language to add to your skill set. In this course, you’ll learn the fundamentals of programming in Python, and you’ll develop applications to demonstrate your grasp of the language. This course is designed for people who want to learn the Python programming language in preparation for using Python to develop web and desktop applications

This course will expose Telecommunications Service providers at the organisational level with the AI foundations, AI frameworks, and AI tools to craft their strategies to ensure delivery of some of their most pressing business concerns. Many Telecommunications service provider leaders already know that the classic approach to strategy – analyse, plan, execute – has lost relevance. But what is replacing it?

The course provides a practical guide to building a road-map for the delivery of your AI at scale transformation programme, through presentations, discussions and a close examination of relevant use cases from the financial services sector.

Python® continues to be a popular programming language, perhaps owing to its ability to get a lot of work done in few lines of code, and its versatility. Python is useful for developing custom software tools, applications, web services, and cloud applications. In this course, you’ll build upon your basic Python skills, learning more advanced topics such as object-oriented programming patterns, development of graphical user interfaces, data management, threading, unit testing, and creating and installing packages and executable applications.