Agenda
Welcome Breakfast & Networking (8 am - 9 am)
Breakfast
Opening Address (9 am - 9:05 am)
Opening Address
SPEAKER:
Main Stage Morning Sessions (9:05 am - 10:30 am)
FIRESIDE CHAT
9:05 am - 9:30 am
Planning your organisation’s AI strategy was a daunting process even before we surpassed AI’s hype stage, and these tools proved their immense value to business. Now the pressure to get your strategy right has ramped up, with every business keen to unlock AI’s benefits before their competition. Providing the insight to set your plans on the right track is a renowned leader reflecting on their personal AI journey to date, sharing both success stories and costly and progress halting pitfalls to avoid.
SESSION KEY THEMES:
- Expert insight for your AI strategy
- AI mistakes to avoid
- AI transformation planning
- AI budget allocation
SPEAKERS:
PANEL
9:30 am - 9:55 am
It’s no secret that building impactful AI tools for your business is hard - it’s recently been reported that just 11% of businesses today have actually adopted Generative AI at scale. This number is easier to understand when you consider how many factors there are inhibiting development including unforeseen costs, ethical concerns and data complexity. With the aim of breaking down these barriers, our panel share their experiences of moving from pilots to large-scale implementation and what they are prioritising to spike the success rate of their early-stage AI projects.
SESSION KEY THEMES:
- Advancing beyond AI pilots
- Training early AI tools
- Decreasing scaling costs
- Increasing speed of AI development
- Driving ROI by focussing on what is valuable to your employees
SPEAKERS:
PANEL
9:55 am - 10:30 am
Hallucinatory gen AI tools, instances of bias and vulnerability to misuse have placed the integrity of AI firmly on the agenda of technology leaders. With the consequences of rapid development without due diligence becoming increasingly scrutinised and widely publicised, programmes are now firmly in motion to create both technical and human checks on these negative aspects. This expert panel assess how these can be combined to establish robust governance frameworks.
SESSION KEY THEMES:
- Built-in responsible AI
- AI governance frameworks
- AI councils for development oversight
- Preventing cases of bias and misuse
SPEAKERS:
Interactive Hour Sessions (11 am - 12 pm)
ROUNDTABLE 1
11 am - 12 pm
Perhaps the most exciting feature of Gen AI is its ability to near instantly create images, suggest a strapline and even mock up music and sound samples to complement your marketing campaigns. This session is a deep dive into all that’s possible using the Gen AI tools at your disposal, enabling you to create the most engaging, exciting and critically, unique campaigns possible.
SESSION KEY THEMES:
- Generative AI
- AI for productivity
- Personalised marketing campaigns
- Increasing consumer engagement
SPEAKER:
ROUNDTABLE 2
11 am - 12 pm
This roundtable will explore strategies to accelerate experimentation of generative AI projects. Firstly, understand how industry leading enterprises have dedicated their time and resources to overcome the pilot hurdle and equip their workforce with timesaving and cost-cutting AI tools. Beyond this learn how to achieve a sustained impact from generative AI, by installing measures that capture model accuracy and reliability both pre- and post-deployment.
SESSION KEY THEMES:
- What are the biggest barriers to enterprise-wide adoption of gen AI?
- What can be done to accelerate time to value in adopting new gen AI projects?
- What measures & tools should you use to ensure that your AI models are accurate and reliable before and after deployment?
- How can organisations effectively transform data into deep, impactful insights by integrating business intimacy and rich contextual understanding?
SPEAKERS:
ROUNDTABLE 3
11 am - 12 pm
Two different approaches to curb AI misuse, bias, and harmful outcomes have been put in place. The EU has enacted a first-of-its-kind law for AI, the EU AI Act, whereas the UK has put in place a principles-based safety, transparency, and fairness pro-innovation approach to be overseen by its regulators. Attain in-depth detail on these approaches, the effects of these two approaches on your business moving forward and crucially, how to remain compliant as a company operating within both the UK and the EU.
SESSION KEY THEMES:
- Responsible AI
- Ethical AI
- AI regulation
- EU AI act
- Innovation vs. privacy
SPEAKER:
Lunch (12 pm - 1 pm)
Lunch
Main Stage Afternoon Sessions (1 pm - 3:10 pm)
FIRESIDE CHAT
1 pm - 1:25 pm
With Generative AI agents demonstrating the ability to increase productivity by as much as 40% by automating more menial tasks, the potential now exists for your staff to solely focus on impactful, revenue-generating activity. Many leaders have made significant progress towards this goal, but challenges persist. How do I mould AI agents to benefit my business? Once the technology is ready, what is the best approach to drive widespread adoption? Discover answers to these questions and more from leaders for whom an AI-powered office is fast becoming a dream within reach.
SESSION KEY THEMES:
- Building and training AI agents
- Change management
- Personalising AI agents to suit your business needs
- Deploying LLM’s for business impact
SPEAKERS:
FIRESIDE CHAT
1:25 pm - 1:50 pm
Machine learning models are responsible for Marriott recording a 5% revenue increase per room and UPS saving $300 million annually on driver fuel costs. Machine learning’s remarkable ability to rapidly and accurately analyse all available enterprise and market data, has taken subjective judgement calls out of financial decision-making . This session explores how a forward-thinking business has implemented ML that recognises and flags patterns in the data most important to them, providing the insight required to de-risk critical decisions and help futureproof their business.
SESSION KEY THEMES:
- Data informed decision making
- Real time market data monitoring
- Training Predictive AI for continuous improvement
- Leveraging siloed data sets
SPEAKERS:
FIRESIDE CHAT
1:50 pm - 2:15 pm
Consumers have now come to expect a personalised and convenient experience from their choice of bank, insurance provider, retailer and even healthcare provider. Organisations most attuned to market demands have quickly stepped up to deliver this service by heavily investing in customer experience enhancing AI tools. Hear how our experts have seen early pay off on their investment and most importantly, their plans to sustain it long-term by adapting AI tools to evolving consumer demands.
SESSION KEY THEMES:
- AI consumer profiling
- Leveraging next-generation chatbots
- AI product/package recommendations
- Maximising consumer engagement
SPEAKERS:
PANEL
2:15pm - 2:45 pm
The current demand for AI technology drastically outpaces the supply of humans with the necessary skills to operate it. With corporate businesses globally competing for a finite resource, pioneering leaders seek to gain an advantage by focusing on reskilling, upskilling and positioning their companies as the destination for ambitious AI talent. Our speakers share their separate approaches to building the talent centric culture that is essential for contemporary corporate business to achieve their AI ambitions.
SESSION KEY THEMES:
- AI-ready workforce
- Workforce upskilling
- Workforce reskilling
- AI talent retention
SPEAKERS:
FIRESIDE CHAT
2:45 pm - 3:10 pm
The resources available today to dream up innovative new products and services are as plentiful as ever. The data insights AI can pull together from a wealth of sources can help validate the idea you hope to bring to market and even suggest ideas that your team may have overlooked. The challenge now is harnessing this insight to produce a product or way of working that is truly ground-breaking. Hear from a prominent innovation leader sharing her approach to this challenge, as well as key considerations for others turning to AI as a means to separate their offerings from that of their competition.
SESSION KEY THEMES:
- AI for innovation
- Automated design support
- AI for consumer feedback
- Machine Learning market trend analysis
SPEAKERS: