Everyone wants to utilise AI, but not everyone knows how. This talk unpacks what it takes to become 'AI Ready' with some relevant examples.

Some of the world's leading financial institutions use ClickHouse for real-time financial analytics use cases, including fraud detection, risk modeling, and stock price reporting. To demonstrate how ClickHouse delivers unparalleled performance and ease of use for financial analytics, we'll walk through ingesting live stock ticker data from a Kafka stream into ClickHouse to power a real-time web application. 

Snowflake had a big challenge: How do you enable a team of 1,000 sales engineers and field CTOs to successfully deploy over 100 new data products per week and demonstrate every feature and capability in the Snowflake AI Data Cloud tailored to different customer needs?

In this session, Andrew Helgeson, Manager of Technology Platform Alliances at Snowflake, and Guy Adams, CTO at DataOps.live, will explain how Snowflake builds and deploys hundreds of data products using DataOps.live. Join us for a deep dive into Snowflake's innovative approach to automating complex data product deployment — and to learn how Snowflake Solutions Central revolutionizes solution discovery and deployment to drive customer success.

Why Attend? You'll walk away with a comprehensive understanding of various GenAI models, their practical applications, and the strategies to harness their full potential responsibly.

• Discover the functionality of key GenAI models, including GPT, Gemini, and Open-source alternatives. 

• Learn how AI assistants, business process automation, co-pilots, and autonomous agents can work for your business. 

• Understand what each model excels at and where improvements are needed. We’ll provide a clear, comparative analysis to help you understand their capabilities and limitations. 

• Learn how we can ensure we are following responsible AI principles

• Explore the services and techniques that enhance the capability of GenAI. 

• Learn how to get AI to work for you and identify the skills your workforce needs going forward to excel in the era of AI.

In this talk, Pete from Penguin Random House will introduce his 3 E's theory, highlighting the critical steps of Establishing a data structure, Enabling teams, and Exploiting results for optimal impact. He'll delve into how trust in both data and process, underpinned by data observability, is essential for transforming data skepticism into meaningful collaboration.

Join Chris Maydom (Data Scientist, BT) and Helen McKenzie (Geospatial Advocate, CARTO) as they explore how mobility data can reveal deep insights into UK road usage. Learn how hyper-local mobility data can be leveraged to unlock a wide range of insights, and hear how CARTO’s cloud-native technology facilitates this advanced analysis at scale. 

Explore the symbiotic relation- ship between AI and data products. Discover how these advancements democratize data access, empowering Data Leaders to bridge the gap between IT, Data Owners, and Business Users. Gain insights on how to convert raw data into actionable insights for enterprise-scale operations. Learn strategies to leverage data as a strategic asset, overcoming challenges like data silos, guiding organizations towards sustainable data use, and unlocking transformative power in the AI era.

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.

With the growing need for organisations to become data-driven, Data Governance is still a trending topic in the market, although it is only part of the ultimate answer.

Join this session to hear from Precisely and Entain on what is resonating at the strategic level that empowers teams to become more data-driven.

In this session you will learn:

•Why strategic leaders feel data governance is not enough

•The guiding principles for delivering a successful data program

•How you can break down silos with a one-stop shop for data

Xinran and Shachar are veteran Data Engineers, and will share secrets for building a more successful career in Data Engineering.

They will share real-world examples and stories, and talk about some of the biggest challenges and questions Data Engineers face in their career, including:

1. Why is it so difficult to get a seat at the table?

2. How to connect your work to your impact, and make your work more visible?

3. How to choose the right company for you - MAANG vs. small companies vs. startups?

4. What path should I take - individual contributor (IC) vs. manager/leadership?

5. What makes a great Data Engineer?

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.

Join Nicky Furlong from SAS and Jacqui Leggetter from DWP to explore the real-life transformational benefits of data and analytics within Government departments.

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.

Looking to deliver safe, scalable, cost-effective, and future-proof LLM applications aligned with your operations and governance principles? Enter: The LLM Mesh. In this session, we’ll explore how Dataiku equips IT and Data teams to build secure, enterprise-ready GenAI applications, ensuring maximum control while delivering the high performance your business demands.

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.

Snowplow has been a leader in developing first-class support for data lakes and modern day open table formats. In this talk, Jordan will discuss the most popular data lake formats, why they have grown in popularity in the last 12-18 months, and best practices when deciding to adopt open lake formats.