Artificial Intelligence (AI) has become a strategic imperative in a rapidly evolving business landscape. However, the rush to embrace AI comes with risks, as illustrated by instances of AI-generated content with fake citations and potentially dangerous recommendations. The critical factor underpinning trustworthy AI is data integrity, ensuring data is accurate, consistent, and full of rich context.

If doubts about data integrity are slowing down AI projects in your organisation, join this session where Precisely and Generali will share real-world successes and the three critical factors you must address to ensure that your data minimises AI bias and hallucination while producing nuanced, coherent, and contextually relevant responses.

During this presentation you will:

• Understand the impacts around delivering data that is not AI-ready.

• Hear real world considerations in bringing accuracy, consistency, and relevance to your AI models.

• Uncover practical solutions to common AI challenges such as AI bias, and lack of contextual relevance.

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

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.

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.

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.

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

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.

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.

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

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 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.