Our Keynote Panel brings together three Gold Medal Olympians to discuss how they overcame personal challenges and use data to achieve success at the highest levels of sport.

Moderated by Clare Balding, the conversation will delve into how data analytics has transformed their training and competition strategies. They’ll share insights on how data is used across different sports to optimize performance and gain a competitive edge. The discussion will highlight the balance between analytical approaches and the instinctive, experiential aspects of competition.

Attendees will hear inspiring stories of triumph over adversity and gain a deeper understanding of how data is driving success in elite sports today. 

This session offers valuable perspectives on the future of sports analytics and its impact on athletic performance.

Big data means big implications in terms of the cost of infrastructure and the complexity of running in production. LiveEO sells a data product based on Satellite imagery—a dataset that’s notoriously huge. Because this product is used in critical conditions such as disaster response and supply chain compliance, efficiency is key for the product to be successful.

Every data request has serious cost implications, from fetching the raw image from space to actually processing it on thousands of GPUs. To maximize their first-run success rate and therefore efficiency, LiveEO built a composable data platform to minimize failure, expose new data products faster to dependent teams, and scale efficiently.

Big data has moved beyond being just a buzzword; it's now at the heart of modern business strategies. When used effectively and efficiently, data can open up new revenue opportunities, provide deep insights, and even drive social impact. As digital transformation accelerates, data is no longer just a tool—it's woven into the fabric of every part of an organization. Designing and maintaining a tier 1 data platform has become essential to staying ahead of the competition. 

Especially with AI-driven applications on the rise, the convergence of DevSecOps and DataOps is becoming increasingly critical. The recent global disruption caused by a security company's mistake was a wake-up call—highlighting just how high the stakes can be. Building and scaling data platforms isn't enough; security and scalability need to be integral to the entire data lifecycle. 

Bringing more than a decade of SRE experience to maintaining and managing top enterprise software, we will discuss how to tear down silos and encourage collaboration among development, security, operations, and data teams. By doing so, organizations can achieve unprecedented levels of reliability and security. Integrating DevSecOps with DataOps doesn't just automate and protect data operations—it also safeguards data integrity, privacy, and compliance, even as data environments expand in size and complexity. In today's competitive market, this proactive stance is what will set the leaders apart from the rest.

Main Actionable Takeaways:

• Cultivate a Collaborative Culture

• Prioritize Resilience and Recovery

• Integrate Security Seamlessly into Data Pipeline

Navigate the complexities of today's digital and data landscape in our panel discussion that underscores the essential role of data governance in the era of accelerating mis- and dis-information. As Big Data ceases to be a buzzword and transforms into the lifeblood of decision-making, governance is elevated from a regulatory compliance requirement to a differentiator and a beacon of trust. This session goes beyond exploration of governance as a data hygiene factor and delves into the relationship between governance, value creation, and elicitation of trust—particularly for decisions steered by AI as we travel into the world of automated risk management and decision making.

Details to be confirmed soon

In this flagship Big Data LDN keynote debate, conference chair and leading industry analyst Mike Ferguson welcomes executives from leading software vendors to discuss key topics in data management and analytics. Panellists will debate the impact of Generative AI, the implications of key industry trends, how best to deal with real-world customer challenges, how to build a modern data and analytics (D&A) architecture, how to manage, produce, share and govern data and AI, and issues on-the-horizon that companies should be planning for today.

Attendees will learn best practices for data and analytics implementation in a modern data-driven enterprise from seasoned executives and an experienced industry analyst in a packed, unscripted, candid discussion.

In today’s fast-evolving big data landscape, having a solid data strategy is crucial. Our session will explore how leaders develop and execute data strategies, and whether these strategies are still essential in 2024. We will cover the key elements of a successful data strategy, the necessity of adapting to technological advancements like AI and evolving data privacy regulations, and provide insights from industry leaders who have effectively navigated these changes. We'll discuss the future trajectory of data strategies, questioning if traditional approaches still hold value or if new paradigms are emerging. This session is perfect for technology leaders, data professionals, and anyone keen on harnessing data for business success.

Join us as we unlock the secrets of data-driven strategies that drive profit, loyalty, and hyper-personalised experiences, with Capgemini and a Women in Data leadership panel.

At this year’s Big Data London, Women in Data & Capgemini are back with another must-see panel, featuring a diverse and engaging group of female data leaders and their allies from across the Retail & CPG worlds. Last year’s session was one of the most oversubscribed events of the day, with standing room only, thanks to its thought-provoking and honest discussions. This year’s panel promises the same dynamic as they tackle the conundrum of balancing margin focus with rewarding customer loyalty and how data plays a key role. 

The panellists, as well as sharing their own career journeys and experience, will explore how they’ve approached bold strategies that move beyond immediate profits to emphasise the long-term value of customer data and loyalty. They’ll explore how data, analytics & ai can uncover deep insights into customer behaviours and preferences, enabling brands to create personalised experiences and loyalty programs that boost engagement and build lasting trust. 

The discussion will highlight the importance of seeing customer data as a strategic asset. By investing in data collection and analysis, companies can identify trends, predict future behaviours, and tailor their offerings to meet evolving customer needs. This approach can drive repeat business and increase customer lifetime value, ultimately leading to higher margins over time. 

This year’s panel will explore the how data and boldness are key for a balanced strategy that blends margin management with a robust focus on customer loyalty. Using data smartly is key to achieving sustainable profit growth and strengthening brand loyalty. Don’t miss out on what promises to be an inspiring and insightful discussion! 

Our panel discussion explores the transformative potential of big data and AI across diverse industries. We will address key technical challenges such as data management and model scalability, along with ethical and privacy concerns, including data utilization and algorithmic biases. Looking ahead, we will discuss future trends and emerging AI breakthroughs. Emphasizing interdisciplinary collaboration, we advocate for diverse teams to ensure fairness and innovation in AI solutions. This dialogue aims to illuminate the complexities and opportunities in big data and AI.

In this short presentation, Big Data LDN Conference Chairman and Europe’s leading IT Industry Analyst in Data Management and Analytics, Mike Ferguson, will welcome everyone to Big Data LDN 2024. He will also summarise where companies are in data, analytics and AI in 2024, what the key challenges and trends are, how are these trends impacting on how companies build a data-driven enterprise and where you can find out more about these at the show.