AI LIVE

Maximising Business Impact from AI
Tuesday 5 September︱08.30-18.00︱15 Hatfields, Chadwick Court, London SE1 8DJ

 

Join us for a jam-packed LIVE programme of case studies and expert presentations to demonstrate the art of the possible. Hear from practitioners at different stages of their AI journey, from a variety of industry sectors, on how they navigated the challenges and enabled real business impact from AI.

 

08:30-09:25 Registration Opens, Breakfast, Networking and One-to-One Meetings

This session will explore:
  • AI Market overview including key players and developers, driving forces, latest trends, technologies, applications and advances
  • The implications of the democratisation of access to AI and insight; exploring the risks and opportunities of access and scale
  • The next wave in corporate AI; overview and examples of the main business use cases
  • How to evaluate the value of AI to your business, and to identify the areas where AI can have the most impact on your business

Speakers include:

Ben Dias, Data Science and AI Director, easyJet

Andrew Vasko, Chief Transformation Officer, Sella

Natalia Konstantinova, Architecture Lead in AI, BP

This session will explore:
  • Developing an AI strategy and roadmap that is aligned with your wider business strategy and objectives
  • Successful AI operating models: How do you effectively develop and deploy enterprise-wide AI tools and technologies?
  • Investing in AI technology that complements and integrates with your existing cloud and big data analytics, automation and API spending
  • Managing key business sponsors and stakeholders to ensure enterprise-wide buy-in 
  • Measuring the success of AI initiatives

Speaker:

Andrew McLennan, Managing Director, Nuveen Global

This session will explore:
  • Is AI a danger to society and if so, should we pause on further developments in advanced AI? 
  • The future of AI legislation, standards and regulation
  • Mitigating the risks of AI: what can organisations do?
  • The data security, ethics and privacy issues of large language models
  • The environmental, social and governance (ESG) and Diversity, Equity and Inclusion (DEI) implications of AI

Speakers include:

Andy Isaacs, Director of Data and Analytics, UKTV

Ivana Bartoletti, Global Chief Privacy Officer, Wipro

Carl Dalby, Head of Digital/AI, Nuclear Decommissioning Authority

11:00-11:45  Coffee, Networking and One-to-One Meetings

11:45-12:45
Exploring The Art of The Possible

Made up of a case-study presentation and expert panel, these sessions will take a deep dive at the key business objectives for investing in AI

Case-study presentations and expert panels covering the following areas:

  • Identifying the business priority for AI
  • Building the business case for AI
  • Testing and launching AI initiatives
  • Overcoming data quality / data complexity / scalability challenges / implementation / integration challenges 
  • Navigating the changes / challenges / overcoming resistance to change
  • Designing business processes and teams to enable effective deployment 
  • Measuring success
  • Next steps: What are the tools you can deploy straight away to enable business impact?

Speaker:

James Tomkins, CIO, MET Office

Case-study presentations and expert panels covering the following areas:

  • Identifying the business priority for AI
  • Building the business case for AI
  • Testing and launching AI initiatives
  • Overcoming data quality / data complexity / scalability challenges / implementation / integration challenges 
  • Navigating the changes / challenges / overcoming resistance to change
  • Designing business processes and teams to enable effective deployment 
  • Measuring success
  • Next steps: What are the tools you can deploy straight away to enable business impact?

Speakers include:

Barry Panayi, Chief Data and Insights Officer, John Lewis Partnerships

Dean Taylor, Director of Research and Insight, John Lewis Partnerships

Case-study presentations and expert panels covering the following areas:

  • Identifying the business priority for AI
  • Building the business case for AI
  • Testing and launching AI initiatives
  • Overcoming data quality / data complexity / scalability challenges/implementation/integration challenges 
  • Navigating the changes / challenges/ overcoming resistance to change
  • Designing business processes and teams to enable effective deployment 
  • Measuring success
  • Next steps: What are the tools you can deploy straight away to enable business impact?

Speaker:

Graham Ross, Head of Data Science, Centrica

Case-study presentations and expert panels covering the following areas:

  • Identifying the business priority for AI
  • Building the business case for AI
  • Testing and launching AI initiatives
  • Overcoming data quality / data complexity/scalability challenges/implementation/integration challenges 
  • Navigating the changes / challenges / overcoming resistance to change
  • Designing business processes and teams to enable effective deployment 
  • Measuring success
  • Next steps: What are the tools you can deploy straight away to enable business impact?

Speaker:

David Bullman, Former COO, Cambridge University Press

12:45-14:00 Lunch, Networking and One-to-One Meetings

14:00-15:15

 Early-afternoon Masterclass

Nothing beats the vivacity of an in-person discussion. Masterclasses allow attendees to dive into one of our streams and be guided by our speakers through keynotes, roundtable discussions, and a Q&A session.

AI and Data Analytics: Making Better Insight-Driven Decisions

AI-enabled data analytics can provides more granular insights into consumer behaviour and preferences, business processes and external market challenges; helping inform decision-making and, ultimately, enable innovation. However, foundation models require vast amounts of data to learn and, crucially, data quality directly impacts the performance, accuracy, and reliability of AI models. 

This makes solving the data challenge an urgent priority for every business. Organisations will need to develop an AI aligned data management strategy, encompassing data processing, analysis and storage, that enables them to collect enough high-quality data, and make that data available to the right people at the right time!

Join our masterclass for an interactive session exploring current approaches to AI and Data Analytics, common challenges and barriers facing organisations and the steps necessary to supercharge your AI-enabled data analytics. We will kick off with a fire-side chat exploring:

  • Developing a data strategy roadmap that enables AI
  • The data foundations necessary to maximise business impact from AI
    • Identifying trends, patterns and insights
    • Streamlining data analysis and build a more complete overview of  youdata
    • Developing forecasts and predictions and extrapolate potential scenarios
  • What’s in the modern data tech stack needed to enable success?
  • The importance of creating a data-driven culture to enable successful AI initiatives
  • Developing data governance to ensure responsible data analytics and enable trust

Following our scene-setter, we’ll be facilitating a breakout roundtable task to explore the challenges, solutions and opportunities organisations face when it comes to integrating, interpreting and using AI to drive informed decision-making across your business.

Speakers include:

Harsha Tharkabushanam, Head of Data Science and AI, BP

Shubham Agarwal, Machine Learning Engineer, Alliance Manchester Business School and Drug, Alcohol and DNA Testing & Expert Reporting

Dru Patel, Data Strategy Lead, Deltatre

Problem or Solution? Identifying AI Opportunities at Your Organisation

"Start with the problem not the solution". This old adage has been a common phrase at Chief Disruptor events focused on disruptive technologies. And arguably, with the hype, energy and buzz around AI at the moment, these words have never been more significant.

Join our masterclass for an interactive session exploring some of the key principles, common challenges and starting points for organisations to explore the potential business impact of AI. We will kick off with a fire-side chat exploring:

  • How do you identify and evaluate potential AI opportunities within your organisation? Are there specific frameworks or methodologies you follow?
  • What are the common barriers or challenges that organisations face when trying to implement AI solutions? How can those be overcome?
  • How do you measure the success or impact of AI initiatives within your organisation? Are there specific metrics or key performance indicators that you use?
  • How do you foster a culture of innovation and experimentation within your organization to encourage the identification and exploration of AI opportunities?
  • What advice would you give to organizations that are just starting to explore AI opportunities?

Following our scene-setter, we’ll be facilitating a breakout roundtable task to explore the steps organisations can make too explore the opportunities presented by AI.

Speakers include:

Sneha Ramamurthy, Innovation and Transformation, Rolls-Royce

Helen King, Head of Transformation, SAGE Publishing

Natalia Konstantinova, Architecture Lead in AI, BP

Pedro Rente Lorenco, Group Head of Data Science, Laing O'Rourke

15:15-15:45 Coffee, Networking and One-to-one meetings

15:45-17:00
Mid-afternoon Masterclass

Nothing beats the vivacity of an in-person discussion. Masterclasses allow attendees to dive into one of our streams and be guided by our speakers through keynotes, roundtable discussions, and a Q&A session.

15:45-16:15
How Will Workplace AI Transform the Future of Work?

Join our masterclass for an interactive session to explore how your organisation can successfully harness AI APIs and enable accessible and democratised access to AI. We will kick off with a fire-side chat exploring:

  • The Ethical and Social Implications of Workplace AI - The strategies to ensure responsible and fair implementation of AI technologies in the workplace.
  • Reskilling and Upskilling the Workforce - How can organizations proactively support employees in adapting to the changing landscape and foster a culture of continuous learning?
  • Collaborative Work Environment - How AI can facilitate collaboration, knowledge sharing, and cross-functional teamwork.
  • Redefining Job Roles and Work Structures - The emergence of new job roles such as AI trainers, data scientists, and AI ethicists, and the evolving dynamics of remote work influenced by AI technologies.
  • Building Trust and Adoption - Concerns related to job displacement, transparency of AI decision-making, and the need for effective communication and change management strategies to ensure the successful implementation of workplace AI initiatives.

Following our scene-setter, we’ll be facilitating a breakout roundtable task to explore the challenges, solutions and opportunities organisations face when it comes to workplace AI.

Speaker:

Bola Adesina, Programme Manager - Future of Work, LGIM

16:15-16:45
How to Leverage the Cloud and AI for Competitive Advantage

In our 2023 Disruptive Trends Report, AI and Cloud Computing were highlighted as key technologies that will disrupt business models in 2023. These disruptive technologies are key partners in driving efficient, strategic and insight-driven business transformation.

Combining AI and Cloud Computing helps democratise tech, enable agile development and experimentation, scale AI initiatives and automate more complex and intelligent workflows.

Join our masterclass for an interactive session to explore how your organisation can successfully nurture your AI capabilities in the cloud environment. We will kick off with a fire-side chat exploring:

  • The growth of cloud and AI in recent years
  • AI and cloud as natural partners that enable business transformation
  • Exploring the cloud AI marketplace; Cloud-based AI or AI solutions in the cloud?
  • Deep dive into how cloud and AI work together at each stage of the AI lifecycle?
  • The evolving role of AIOps as an essential role in cloud management and optimisation
  • How do you ensure that AI on the cloud is secure? 

Following our scene-setter, we’ll be facilitating a breakout roundtable task to explore the challenges, solutions and opportunities organisations face when it comes to integrating and using AI and Cloud Computing.

Speaker:

Dave McHugh, Chief Architect, Pinnacle Pet Group

17:00-18:00 Networking Drinks