Discover Sainsbury's journey of data democratisation through Snowflake's AI Data Cloud and how they're transforming analytics.

Discover Sainsbury's journey of data democratisation through Snowflake's Data AI Cloud and how, by embracing the modern data platform, the team is transforming analytics, ML and access to data. From generating insightful reports to crafting machine learning models, we're personalising experiences for both our customers and colleagues. Every day, thousands of decisions are enhanced by this data-driven approach, showcasing Sainsbury's commitment to harnessing the power of data for retail excellence. Join us to learn how Sainsbury's leverages Snowflake to inform decisions and shape the future of retail.

In this talk, we will examine how to decompose AI systems into more manageable parts that then can be independently developed and tested, and then easily be composed together into an AI system. We will present a unified architecture for building batch, real-time, and LLM AI systems around 3 classes of machine learning pipelines: feature pipelines, training pipelines, and inference pipelines.

Just like you can make great music with 3 chords, we will show tens of examples of great AI systems built with our 3 ML pipelines (and the truth!).

We will show how our 3-pipeline architecture helps align teams and accelerates time to value and quality.

In the era of artificial intelligence (AI), the data function within organisations plays a critical role in ensuring that AI systems are trustworthy, ethical, and aligned with business objectives. This panel discussion will delve into the essential responsibilities and contributions of data teams in the development and deployment of AI technologies, the success factors and the risk management required.

From a data perspective, an ideal scenario is one where practitioners can have a meaningful conversation with their data. In an era where data is both abundant and critical, the need for innovative methods to interact with and understand complex datasets has never been greater. Enter GraphRAG (Graph-based Retrieval-Augmented Generation), a cutting-edge approach that revolutionizes data interaction by seamlessly integrating graph theory with generative AI.

GraphRAG leverages the power of a knowledge graph to represent relationships within data, enabling more intuitive navigation and retrieval of relevant information. By augmenting these capabilities with state-of-the-art generation models, GraphRAG provides users with enriched, context-aware outputs that significantly surpass traditional query-response systems.

Attendees will gain insights into the underlying principles of GraphRAG, its architectural components, and practical applications across various domains, from healthcare to finance. We will demonstrate real-world use cases, showcasing how GraphRAG not only improves efficiency and accuracy in data handling but also democratizes access to complex insights, empowering users to reach their ideal state of conversing with their data. Join us to discover how GraphRAG is paving the way for the future of intelligent data interaction.

Join our session on GraphRAG, blending graph theory and generative AI for intuitive, enriched data interaction and smarter insights.

Discover how Dataiku's LLM Mesh empowers IT teams to create secure, scalable GenAI apps that align with operations and governance.

Goal misgeneralisation is one of the most critical challenges in the field of AI. At present, AI systems can?t generalise, instead degrading when operating on new, unseen data, and pursuing unintended goals. This hinders widespread, responsible AI adoption. Fortunately, Oxford-based AI startup Aligned AI is solving this problem by teaching AI systems to extrapolate concepts like humans do, enabling them to operate safely in environments they have not encountered before. In her presentation, Rebecca could speak about the game-changing 'Algorithm for Concept Extrapolation' (ACE) that Aligned AI have developed, which is self-governing and self-correcting, and enables an AI system to get better over time, instead of degrading.

Data Observability is the new frontier of modern data management. Leading enterprises rely on Acceldata to ensure data quality, streamline operations, optimize costs, and maintain compliance. Join us to discover how to implement Enterprise Data Observability across on-prem and cloud environments, creating a single source of truth for data leaders, engineers, scientists, and business users. Learn from a seasoned industry expert who has successfully operationalized data governance at petabyte scale and delivers reliable data for AI and analytics initiatives.

Lunar, a leading Nordic digital bank, successfully implemented a data governance framework to enhance data quality and secure C-level buy-in by using SYNQ, a data reliability and observability tool. 

Their framework focuses on data ownership, criticality, and monitoring. Lunar's data team, leveraging tools like SYNQ, ensures high standards against financial crime, personalisation through AI, and reliable reporting. 

They maintain oversight through automated monitoring, use of data products, and a robust ownership model, which enhances data quality and accelerates issue resolution for their reports to executives. 

This approach enables Lunar’s data engineering and data governance teams to work in harmony, and operate efficiently without having to increase headcount.

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.

There are many things to think about on your Generative AI journey, but in this talk we’ll focus on two key ones. Have you identified use cases that will solve real business problems? Secondly, is your data platform prepared? 

From this session, Cynozure’s Solution Architect, Tom Wilson will share his experience of what it takes to successfully integrate GenAI across your data platform, touching on data quality, governance and model management. With this, he’ll also share the practical applications of GenAI, both now and the near-future, that will positively shake up the way we do business and deliver value to organisations that embrace them.  

Join us to learn about: 

• The important role your data platform plays in unlocking GenAI’s potential 

• Lessons, experiences and watch-outs from doing this 

• Use cases GenAI is best suited to right now 

• The complex and evolved use cases we can expect to see going forward  

In an era where data is the lifeblood of innovation, building modular, distributed, composable, and sustainable socio-technological architectures is essential. Managing data alone is not enough; we must also manage the domain-specific knowledge required to interpret, use, and integrate it effectively to support business strategy objectives. This talk explores a paradigm shift that integrates advanced knowledge frameworks into data management practices, enabling organizations to transform raw data into actionable insights with unprecedented accuracy and speed.

We will will explore the core principles of knowledge-driven data management, including the utilization of artificial intelligence and machine learning to enhance data processing, the implementation of semantic technologies to improve data interoperability, and the adoption of knowledge graphs to create a more connected and intelligent data ecosystem.

Join us to discover how embracing a knowledge-driven approach to data management can empower your organization to harness the full potential of its data, driving innovation and achieving strategic objectives in today’s VUCA world.

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

Help us become the #1 Data Podcast by leaving a rating & review! We are 67 reviews away! Breaking into data is hard. But it doesn't have to be if you CAREER HACK. Simply find someone's journey you can relate to, and reverse-engineer their steps. 💌 Join 30k+ aspiring data analysts & get my tips in your inbox weekly 👉 https://www.datacareerjumpstart.com/newsletter 🆘 Feeling stuck in your data journey? Come to my next free "How to Land Your First Data Job" training 👉 https://www.datacareerjumpstart.com/training 👩‍💻 Want to land a data job in less than 90 days? 👉 https://www.datacareerjumpstart.com/daa 👔 Ace The Interview with Confidence 👉 https://www.datacareerjumpstart.com//interviewsimulator 🔗 CONNECT WITH AVERY 🎥 YouTube Channel 🤝 LinkedIn 📸 Instagram 🎵 TikTok 💻 Website Mentioned in this episode: Join the last cohort of 2025! The LAST cohort of The Data Analytics Accelerator for 2025 kicks off on Monday, December 8th and enrollment is officially open!

To celebrate the end of the year, we’re running a special End-of-Year Sale, where you’ll get: ✅ A discount on your enrollment 🎁 6 bonus gifts, including job listings, interview prep, AI tools + more

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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. 

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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.