Accor, a world-leading hospitality group offering experiences across more than 110 countries in 5,500 properties, 10,000 food & beverage venues, wellness facilities or flexible workspaces, relies on its more than 45 hotel brands from luxury to economy and its most awarded traveler loyalty program to connect deeply with customers and increase their lifetime value. With a rich store of data centralized in Snowflake, the team set out to enable their marketing and business teams with a platform that would allow them to autonomously deliver hyper-personalized experiences and campaigns.

Join the session to learn about Accor’s CDP journey and how Hightouch, as their Composable CDP, helps them drive customer engagement, loyalty, and revenue.

In a world of fractured data, heroes rise to build bridges of standardisation, unlocking collaboration, innovation, and a future where information flows freely and connections empower change. Beyond the technical, it's a tale of human spirit and the power of unity.

Data-driven decision making remains at the forefront of every data transformation programme under the sky.Join this session to hear from seasoned practitioners on how obstacles of the past were turned into great opportunities, through a modern approach to building and deploying a data platform.This talk will explore how scalability, integrity and resilience was embedded into a data platform design upfront to unlock value through multiple use cases and customer journeys. It goes on to demonstrate how a modern data platform can be instrumental in unlocking a far-reaching impact across tens of thousands of tenants enabling a step change in organisation's operational efficiency, winning the Board support for further initiatives and maturing the organisation’s data culture along the way.Design patterns that ensured the data platform could deliver value at scale for one of the biggest housing providers in the UK will be shared.This talk, presented by The Dot Collective and Places for People, is based on a recent real world case study.

Join Reema Vadoliya as she explores the transformative potential of inclusive data practices in shaping a more equitable future. Reema delves into the challenges faced across the data industry and society, drawing from her personal experiences and insights. Through practical examples and case studies, she demonstrates how challenging bias in AI begins with fostering inclusivity and representation in data collection. By envisioning a future where data is crafted with inclusivity in mind, Reema inspires participants to embark on a journey towards building a more ethical and inclusive AI ecosystem. Key Takeaways: - Empowering Data Practices: Reema highlights the transformative potential of inclusive data practices, empowering organisations to challenge bias in AI through prioritising inclusivity and consent in data collection - Insightful Data Insights: Reema demonstrates how inclusive data practices lead to impactful insights, showing attendees how embracing diversity in data collection results in higher response rates and deeper audience understanding. - Vision for Ethical AI: Reema inspires attendees to envision a future where data is crafted with inclusivity, fostering fairness and transparency in data-driven decision-making to drive towards an ethical and equitable AI ecosystem.

The Good, the Bad and the Ugly Amy is a Senior Data Solutions and Integration Manager at Bay Wa r.e. Her responsibility was enabling Data Governance, Data Products and Data Mesh. The challenge was building a unified data decentralization framework for dozens of organizations that historically used different stacks, metrics, and processes. Data Mesh is a complex concept, and every organisation views it differently. Amy will share the framework she had implemented for which her team gained leadership buy-in. She will discuss what Amy?s team managed to execute, what they've achieved, and what's on their roadmap. She will also share her learnings from this exciting journey, including securing buy-in from different business units. At 'Journey Building Data Mesh: The Good, The Bad, and The Ugly,' Amynwill focus on: Why Data Mesh, and when it is the right time to start prioritizing it? How did they implement data contracts at the scale, and what is the current progress? What Amy?s team would do differently today on their journey to Data Mesh.

This talk will share lessons learned from building an internal data platform to support several Cybersecurity SaaS applications. At Tenable, we have put the data model at the centre of our platform. A centralised data model provides consistent data experience for your application builders and customers alike and provides a focus for discussion and standardisation.

The discussion will highlight the following key areas:

1. Choose cloud: Cloud will accelerate your rate of delivery and reduce cognitive load for your team

2. Get started: Platforms need users and their feedback should drive the evolution of the platform.

3. Maintaining a product mindset: Treat your data platform like a product by maintaining a backlog while working towards longer term vision.

4. Structure your team for success. Using lessons learned from Team Topologies, structure your team to reduce cognitive load and keep the team focussed on delivering value.

5. Making it easy for teams to onboard onto the platform.

Join Experian, Sainsbury’s, The Nottingham, UST and British Business Bank discuss how better data quality and better data governance leads to improved AI. Hear real business examples of how AI is being implemented and the lessons our panellists wished they’d known sooner. Also learn key takeaways on how to have a better Data Governance strategy and why having trust in your data is more important than any new emerging technology.

As organizations transition from digital to AI-native, data becomes the linchpin of innovation, empowering AI to turn raw information into actionable insights. Cloudera hybrid data platform brings all data to modern use cases including Generative AI. This session explores how Cloudera can help your organization deploy robust AI use cases to production faster, without compromising performance, accuracy, and security.

Learn about IBM InstructLab, which streamlines the fine-tuning of AI models through knowledge distillation. Discover how this cutting-edge technology can transform your AI projects and make them more efficient and effective.

In addition, we’ll delve into the latest trends in Large Language Models (LLMs), highlighting the benefits of enterprise-ready models such as IBM Granite. We’ll discuss key considerations such as model size, purpose, and the debate between open-sourced and closed models.

In the world of GenAI, advancements are happening at a crazy speed. These advancements concern not only the algorithms but also the operations side of things. In this talk, we will go back to the basics, discuss the main principles of building robust ML systems (traceability, reproducibility, and monitoring), and explain what types of tools are required to support these principles for different types of applications.

Buckle up and join Tomas Trnka, Chief Data Officer at Carvago, as he unveils the journey behind Carvago’s rapid rise as a leading online marketplace for used cars. Discover how Carvago built a production-ready solution in just 3 months using the Keboola platform. Tomas will dive into the architecture “under the hood”, showing how they process over 5 million car classifieds daily and iteratively develop new data products. Part of the presentation will be dedicated to Data Mesh, with real-world examples of its implementation. Finally, learn about Carvago’s unique approach to AI, blending classic machine learning with AI enhancements. Attendees will gain practical insights and recommendations for accelerating data initiatives and building scalable, cutting-edge solutions.

Join this unique interactive session blending the analog art of puppetry with digital data storytelling. Through video clips, behind-the-scenes anecdotes, special guests, and the world premiere of new content, follow the CDO (Chief Dog Officer) and the IT Bee as they battle legacy opposition, CAT-sultants, and ANT-alysts in their quest for a data-driven utopia. This entertaining and insightful presentation offers humor, creativity, and actionable takeaways to transform the way you think about data management and inspire you to tell better data stories at your organization.

Top Takeaways:

• Analog Meets Digital: Discover how puppetry can convey complex digital concepts in a relatable and engaging way.

• Entertaining and Educational: data narratives come to life through a unique storytelling approach.

• Real-World Reflections: puppet adventures reveal the challenges of modern data management.

How the development of GenAI affects representation and diversity Based on the work around moral usage of AI and wider themes of diversity and inclusion in data and SaaS companies, I'll be looking at current trends in the space and how to help establish better practice around representation.

Step into the dynamic world of data governance, business operations, and artificial intelligence (AI), where the unsung hero, metadata, takes center stage. Just like the perfect sandwich relies on clear definitions of its ingredients, this talk unveils the indispensable role of metadata in defining and organizing data. George will share captivating real-life stories and examples on how clarity in definitions and metadata not only streamlines operations but also empowers decision-makers with invaluable insights. Explore the backbone of AI advancement through essential data management tools: the Business Glossary, Data Dictionary, Data Catalog, and Machine Learning Metadata Store. Let's embark on a journey where unified interpretations pave the way for accuracy, efficiency, and success in the data-driven era.

In his keynote talks at the Snowflake and Databricks Summit this year, Jenson Huang, the Founder CEO at NVIDEA, talked at length about how, to compete today, organizations have to build data flywheels: where they take their proprietary business data, use AI on that data to build proprietary intelligence, use that insight to build proprietary products and services that your customers love and use that to create more proprietary data to feed AIs to build more proprietary intelligence and so on.

But what does this mean in practice? Jenson's example of NVIDEA is intriguing - but how can the rest of us build data flywheels in our own organizations? What practical steps can they take?

In this talk, Yali Sassoon, Snowplow cofounder and CPO, will start to answer these questions, drawing on examples from Snowplow customers in retail, media and technology that have successfully built customer data flywheels on top of their proprietary 1st party customer data.

The ability to access, analyze, and leverage diverse datasets is a competitive advantage for any senior leadership team. Imagine if these capabilities could extend more broadly across the organization, beyond the analyst team. This session will explore the use of data marketplaces— where datasets can be shopped, shared, and compared — and their transformative potential for a data-driven organization. We will delve into how data marketplaces facilitate access to high-quality, diverse datasets, enabling more comprehensive analyses and richer insights. Attendees will learn about the benefits of participating in these marketplaces, including the enhancement of decision-making, the acceleration of innovation, and the potential for new revenue streams through data monetization.

As data becomes the currency of the modern economy, the ability to build and scale high-performance data capability is essential to set businesses up for their transformation journey. Yet, the average tenure of a data professional is less than 2 years. Join a panel discussion led by Anush Newman, CEO of JMAN Group, where a broken excel sheet led to a 400 person data business with an~80% retention rate at 2 years. 

He will draw out the perspectives and lived experiences of this esteemed panel of data practitioners representing a breadth of disciplines and seniorities, who face in to this challenge. They will delve into best practices for engaging diverse talent from a range of backgrounds, driving continuous learning, career transition and implementing frameworks that enable teams to adapt to rapidly changing demands and technologies. This session will look to share actionable strategies to transform your data capabilities into a powerful engine for innovation and growth.

The introduction of Generative AI in the enterprise heralds a new era of advanced analytics and operational efficiency. By harnessing the sophisticated capabilities of Gen AI, businesses can significantly accelerate their decision-making processes and empower their employees across multiple dimensions. Gen AI enables intricate data analysis, natural language processing, and decision-making with just a few prompts, facilitating faster innovation and competitive advantage.

However, implementation and optimization of Gen AI for enterprise analytics use cases present several challenges. Gen AI is hard to put into production, due to the complexities associated with data integration and secure data access. Additionally, enterprises struggle to tune and deliver consistently high quality and compelling responses to AI-driven questions.

Join this session to learn how implementing a data fabric can help accelerate time to value and enable Generative AI.

Crafting Tech Stacks to Embrace Traditional and Generative AI in Enterprise Environments In this talk, Bas will present a reference architecture for machine learning systems that incorporates MLOps standards and best practices. This blueprint promises scalability and effectiveness for ML platforms, integrating modern technological concepts such as feature stores, vector stores, and model registries seamlessly into the architecture. With a spotlight on emerging generative AI techniques like retrieval-augmented generation, attendees will gain valuable insights into harnessing the power of modern AI practices. Additionally, Bas will delve into the aspects of MLOps, including feedback loops and model monitoring, ensuring a holistic understanding of how to operationalize and optimize ML systems for sustained success.

We have a hypothesis, that 90% of people doing Gen AI today weren’t doing it two years ago. The landscape is full of people stumbling their way through it, from the AI academics learning that code for papers is not software development ready, all the way to data experts suddenly needing to learn a new skill.

In this talk, we'll go through what data engineers need to know to help get those AI projects off the ground. Starting with picking the right projects, execution plans, through to toolsets and skills that will make you shine.

Join this session to discover how Natwest approaches governance, security & privacy controls, focusing on how they've designed & implemented a framework that balances control with agility. We will dive into NatWest's journey to establish a robust foundation for federated governance using a hub-and-spoke model. Attendees will gain insights into how NatWest enables a scalable governance structure that empowers individual teams while maintaining centralised oversight. Additionally, NatWest will share their roadmap for building a modern data architecture, guided by Data Mesh principles, that ensures flexibility, scalability, and alignment with the evolving needs of the organisation. This session is a must-attend for those looking to modernise their data strategies with a focus on governance and architectural innovation.

In wholesale banking and many other industries, data can be a critical advantage in better understanding customers and streamlining workflows. Speeding access to this data and federating usage across teams is key to delivering on this data investment.

At a major wholesale bank, it was taking too long to build the data assets needed by the business while demand for new data continued to grow. To unlock access to data, the team focused on enabling citizen data engineers in the business with self-service tools to federate not just data access but data transformation.

Using Prophecy Data Transformation Copilot, the team has been able to reduce complex pipeline development times and bring business subject matter experts into the process, scaling the resources for data transformation and capturing valuable business insights in standard, reusable code.

Join us for this session to:

• Learn about the key role data transformation plays in unlocking data
• Hear how speeding data transformation is key to better serving customers
• How taking a new approach to data transformation with Prophecy can speed access to data by up to 10x

In the rapidly evolving world of enterprise AI, traditional monolithic approaches are giving way to more agile and efficient architectures. This session will delve into how Multi-Agent Retrieval-Augmented Generation Systems (MARS) are transforming enterprise software development for AI applications. Learn about the core components of AI agents, the challenges of integrating LLMs with enterprise data, and how to build scalable, accurate, and high-performing AI applications

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