This session will explore why everyone is always banging on about the importance of 1st party data by continuing to bang on about the importance of 1st party data. Join us to learn how you can harness the full potential of your 1st party data by bringing all your customer data together in one unified view with a Customer Data Platform. Gain insights on how to enhance the value of your marketing efforts and drive superior business outcomes. Discover the surprising amount of readily available data about individual customers and how to identify, isolate, and protect your 1st party data. Don’t miss this opportunity to unlock the power of your 1st party data with CDPs and safeguard your company's largest competitive advantage.

Now that the hype of Gen AI is slowing down, the data functions are expected to scale effectively and realise the value from a technology that is evolving even faster than it can be implemented. So how do data leaders ensure that the benefits are optimised, the risks reduced and that the reality is not overtaken by the hype?  

Beyond deployment and value creation, there is the issue of trust-in the tools, the data and the outputs. To say nothing of the fear of people that their roles will be replaced! What are the skills that the ‘new’ data leader needs to perfect to manage teams, stakeholders and growing expectations?  

Hear from the lived experience from 2 of the industry’s leading proponents as they discuss their journeys and share their knowledge.

Hear how JCDecaux, the market leader in out-of-home advertising, utilize advanced analytics to drive brand growth and maximize marketing ROI for clients.

You’ll learn how JCDecaux:

• Drive sales uplift: Use Alteryx to analyse data from Nielsen to drive +18% sales uplift for advertisers near Tesco and Waitrose stores, with an 80% reduction in analysis time.

• Boost ROI: Enhance marketing mix modelling accuracy, resulting in +42% ROI for out of home campaigns

• Leverage AI tools: To identify patterns in marketing results data, optimize results in real time and make more strategic budget decisions.

• Increase brand awareness: Use data to measure the impact of out of home advertising across different geographies, resulting in +19% brand awareness uplift

How about a workplace where generative AI accelerates every data management task, transforming routine into innovative experiences? A vision which can be in production for the AWS customers in just 60 days through a combination of Amazon Bedrock, which enables rapid development and deployment of AI applications, and Stratio Generative AI Data Fabric, which provides accurate output based on quality data with business meaning. Join us to learn how a combination of these products is empowering data managers and chief data officers to drive innovation and efficiency across their organizations. 

As generative AI ramps up, there is a new urgency for database and analytics modernisation as the most popular and impactful AI innovations can be found in the cloud. Learn how to build a modern, cloud-based data foundation for data-driven applications, real-time analytics, and high-performance, immersive gen AI experiences.

This talk will explore a platform strategy that emphasizes the decentralization of data and analytics, aiming to achieve an optimal balance between autonomy and governance, thereby increasing iteration and innovation speed while ensuring compliance with regulations. Attendees will learn how to support the entire data product lifecycle, enabling teams to operate independently while adhering to governance and architectural standards. 

The discussion will highlight the following key areas:

1. Autonomy and Innovation: How decentralized data platforms empower teams to innovate faster by reducing dependencies and bottlenecks. Examples of successful implementations will be provided, illustrating how autonomy can lead to increased iteration and innovation speed.

2. Governance and Compliance: Strategies for maintaining robust governance frameworks that ensure data quality, security, and compliance with regulations such as GDPR and HIPAA. The talk will cover tools and best practices for monitoring and enforcing compliance in a decentralized environment.

3. Data Product lifecycle: A comprehensive approach to supporting the data product lifecycle, from data product prototyping to the data product operations, monitoring and change management. 

4. Adoption: Real-world scenarios where organizations have navigated the trade-offs between autonomy and governance, creating the right condition for platform adoption.

How do you unlock siloed data across and within international geographies to enable tangible business value and promote a data-centric culture?

Hear this journey of walking a tightrope of technological development, immediate value creation and compliance to empower business users to make data-informed decisions. The role of data domains, functional engineering, ML/AI & automation in driving innovation, adoption and efficiencies are explored as well as broader cultural impacts that fostered a data-centric mindset across the organisations.

Join us as we dive deep into the world of spatial analytics and discover how to leverage location data to its fullest potential. Whether you're working with massive datasets in a Spark environment, harnessing the power of cloud data warehouses like Snowflake, Redshift, or BigQuery, or analysing live data feeds in real time, this session will equip you with the tools and knowledge to:

• Uncover hidden patterns and trends in your data that traditional analytics might miss.

• Gain a deeper understanding of your customers and their behaviours.

• Optimise operations and improve efficiency.

• Make data-driven decisions with confidence.

Don't miss this opportunity to learn how spatial analytics can revolutionise your data platform and drive your business forward.

How do GDPR and the EU AI Act impact creative data use? The author of 'How to Use Customer Data' and Acxiom’s European Privacy Officer shares her insight into best data governance practices for building great customer relationships using a CDP to create an effective data-driven business.

The topics will include:

Embracing the 'personalization paradox' and its benefits for marketing data scientists.

Devising GDPR-powered data use strategies to empower both customers and brands along the way.

Tips for data scientists to kick start with AI governance

Like many large businesses Maersk relies on a centrally managed Data Lake to deliver customer insights and business reports. But in today's fast-paced business environment, timely and accurate decision-making relies heavily on the ability to access and analyse data at will. Opening up your Data Lake and allowing business users the ability to query the data directly, could bring major benefits; but also brings with it technical and security challenges. 

Join Graham and Julian as they explore how Maersk has used Dremio software to deliver Self Service Analytics and their checklist of the essential ‘must have’ technical capabilities.

According to a recent EY survey, 53% of Retail & CPG executives rank changing consumer preferences as a top pressure, even above profitability and margin concerns. Customer Data Platforms (CDPs) are vital in this scenario, enabling brands to understand, predict customer needs and offer hyper personalized experiences. Despite the recent surge in CDP investments, many marketers still grapple with achieving meaningful ROI. In this session, we will demonstrate through live examples how to extract actionable insights from your CDP, prioritize efforts, and drive actions to boost your marketing ROI.

Logical representations of data rather than a deep technical understanding of a database or dataset are key for the democratisation of, and ease of access to, data going forward. In this session, Steve will give his thoughts on what is driving this need and how organisations can approach it in a pragmatic way, focusing on the links between good data governance, good data tech, good data analytics and ultimately good data-led decision making.

If data is the new oil - why is it still so hard to get leadership buy in? What does it take? Where do you start? Hear from both business and data leaders on what works to overcome resistance, get momentum building and how to keep it going. Our panel brings both sides together for insight on how to crack that all important exec buy-in activity, to get your leaders invested in data and investing in your initiatives.

As Generative AI continues to revolutionize industries, having high-quality, well-prepared data has never been more crucial. In this session, Emma McGrattan, SVP of Engineering & Product at Actian, and Guillaume Bodet, CPTO at Zeenea, will explore how Zeenea's cutting-edge Data Discovery Platform, now part of Actian, is poised to play a pivotal role in achieving data readiness for GenAI. Attendees will discover how Zeenea’s metadata management solutions, including its comprehensive data catalog, lineage insights, quality index, business glossary, and data marketplace, empower organizations to truly know and trust their data. Join us to learn how to leverage these tools to mitigate risks, ensure compliance, and confidently unlock the full potential of GenAI in your organization. Don’t miss this opportunity to prepare your data for the next wave of AI innovation! Speaker Bios: Emma McGrattan, SVP of Engineering & Product, Actian Emma is SVP of Engineering and Product at Actian leading global research and development. She is a recognized authority in data management and analytics technologies and holds multiple patents. Emma has over two decades of experience leading a global software development organization focused on innovation in high-performance analytics, data management, integration, and application development technologies. Prior to joining Actian, Emma was Vice President for Ingres at Computer Associates. Educated in Ireland, Emma holds a Bachelor of Electrical Engineering degree from Dublin City University.

The developer experience, or DevEx, has become an essential pillar in data product development. It not only facilitates the work of the development team but also drives innovation and efficiency.

During this session we will learn from IDC award winning data platform consultant Paul Rankin how some of Switzerland's top companies are turning their attention to the developer experience in combination with true DataOps principles to increase productivity and accelerate data product development cycles.

The success of any AI strategy hinges on the quality, accessibility, and relevance of the data that powers it. Data products play a crucial role in this context by transforming raw data into valuable, trusted, and purpose built data assets that fuel AI-driven innovation and decision-making.

By integrating data products into our AI initiatives, we can:

- Accelerate AI Development

- Enhance Decision-Making

- Foster Innovation

- Ensure Data Quality

Join us to learn how Starburst Data Products are feeding data hungry AI strategies across the enterprise to improve productivity, unlock new opportunities, drive competitive advantage, and lead in the era of intelligent business.

As organisations shift from generative AI proof of concepts to building production ready applications, the requirements for efficiency, monitoring, safety and governance become critical to both trust and success.

You will learn:

Key design patterns and methodology for evaluating, experimenting and monitoring enterprise gen AI apps to address common failure modes

The role of iteration and improvement as part of ongoing delivery

Practical considerations for implementation using examples from Snowflake’s Cortex Analyst, Cortex Search and TruLens, an open source project.

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.