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




Explore the Agenda

We explore topics that help their organisation maximise business impact from AI.


We will be joined by C-level/C-1 disruptors and innovators responsible for driving and creating change.


Our partners equip our members to explore AI and its transformative potential, both in terms of accessibility and creation of new applications.

AI is certainly disruptive and transformative and is changing every industry in ways we can barely even imagine. But contrary to what one might think with the explosion of hype around new tools such as ChatGPT, AI is not actually new to business and technology leaders. In fact, many organisations have been experimenting, developing and deploying AI in a variety of use cases for some time; from robotics to customer service platforms, predictive analytics to fraud management.

Experts agree that organisations that can successfully leverage AI will gain a significant competitive advantage. So why do so many organisations still struggle to deliver value from AI? And what can we learn from those who have been successful? And what will be the impact of generative AI and foundation models that are changing the AI game?

There’s no doubt that AI can be complex, evolving and often expensive, but there are a number of common reasons why businesses fail to deliver business value from AI initiatives. First and foremost the lack of clear business objectives makes it difficult for complex AI projects to remain focused or to demonstrate ROI to stakeholders. Challenges around data management, and in particular data quality, provide another common pain point for organisations. There are also exaggerated concerns and challenges if an organisation does not have suitable infrastructure to support AI initiatives or when organisations try to scale AI deployments across the business.

Join us at AI LIVE: Enabling Business Impact from AI on Tuesday 5 September 2023 and hear from experts and practitioners at different stages of their AI journey, across a variety of industry sectors, on how they navigated these challenges and have enabled real business impact from AI. 


Developing Your AI Business Strategy and Metrics

One of the main reasons why AI initiatives fail to deliver business value is down to a lack of clear business objectives. Leaders will need to consider carefuly the areas of the business where AI can have the greatest impact. To integrate AI into broader business and technology roadmaps, a clear understanding of success, embeded performance metrics and appropriate governance and compliance models.

AI Ethics, Regulation and Risk

Despite the excitement about the transformational capabilities of AI, concerns remain regarding trust, security, ethics and safety. This new era of generative AI raises particularly important questions about the responsible use and development of AI. Organisations will need to consider the risks of AI, fully understand their implications and explore how they mitigate them.

Scaling AI Initiatives

There’s no doubt that the value of AI is maximisied when at scale. However in practice, challenges arise when organisations attempt to operationalise AI. As AI is scaled, collaboration will be absolutely key, as will understanding how to structure teams and working practices that bring together different roles and skill sets. Beyond the soft skills, technology leaders must traverse the mindfield of tools and platforms that support and enable AI at scale and ensure these integrate with existing AI and technology infrastructure.

Exploring the Impact of AI on People and the Workplace

There’s no doubt that AI is going to have a revolutionary impact on the world of work, but its difficult to predict exactly what the future of work will look like. AI-enabled automation promises to free workers from monotonous tasks, leaving them free to innovate and disrupt. This will inevitably require the development of new working practices, job redesign and resource redeployment. But what does this mean for the low wage and skilled workforce? And how do you retain key talent required for the development and deployment of AI? Business leaders will need to consider now what the org chart of the future look like!


Evaluating the Disruptive Impact of Generative AI

Developments in generative AI are happening at a breakneck speed and early adopters are already incorporating the latest models and developing use cases that will provide competitive advantage. So what will be the impact on your industry? How should you go about identifying the best use cases for generative AI? How do you evaluate the risks in such a rapidly evolving environment? Which operating models will allow you to capitalise on the opportunities of generative AI? How should they go about experimenting with generative AI safely?

AI and Data Analytics: Making Better Insight-Driven Decisions

AI-enabled data analytics provides more granular insights which help inform decision-making and, ultimately, enable innovation. However, complex foundation models require vast amounts of data to learn and, crucially, data quality directly impacts the performance, accuracy, and reliability of AI models. To maximise value from AI, 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!


Natalia Konstantinova

Natalia Konstantinova

Architecture Lead in AI, BP

Helen King-1

Helen King

Head of Transformation, SAGE Publications Limited

Ben Dias

Ben Dias

Data Science and Analytics Director, easyJet

Andy Isaacs

Andy Isaacs

Director of Data and Analytics, UKTV


Dru Patel

Data Strategy Lead, Deltatre

Harsha Tharkabushanam-1

Harsha Tharkabushanam

Head of Data and AI, BP

Barry Panayi-1

Barry Panayi

Chief Data Officer, John Lewis Partnerships


Bola Adesina

Programme Manager, Future of Work, LGIM

Meet our speakers

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Senior Planning and Forecasting Manager, Royal London