Discover key insights into Aviva's ongoing journey of integrating data and AI more deeply into their business operations. This session will highlight the value created by their technical teams, address current challenges and business priorities, and outline the roadmap for enabling the democratization of data and AI within the organization. Attendees will gain practical knowledge and actionable strategies to apply in their own data and AI initiatives.

Explore Aviva's journey in integrating data and AI, the value created, challenges faced, and strategies for democratizing AI across the org.

Learn how Skyscanner develops and executes data strategies based on data reliability, trust and rapid data driven decision making.

From its founding in 2023, Skyscanner has leveraged analytical data to optimise business and traveler experiences. And with more than 110 million monthly users resulting in 30+ billion analytical data events per day, Skyscanner is an expert at managing data at scale.

Join Michael Ewins, Director of Engineering at Skyscanner, to learn how his team develops and executes data strategies centered on their core principles of data reliability, trust and rapid data-driven decision making. Michael will dive into the challenges his team faces navigating complex lineage, strategies for effectively combating data incidents, how they simplified their analytics infrastructure for a more practical approach to data governance, and their success in implementing impactful ML and AI business-critical use cases.

Big data means big implications in terms of the cost of infrastructure and the complexity of running in production. LiveEO sells a data product based on Satellite imagery—a dataset that’s notoriously huge. Because this product is used in critical conditions such as disaster response and supply chain compliance, efficiency is key for the product to be successful.

Every data request has serious cost implications, from fetching the raw image from space to actually processing it on thousands of GPUs. To maximize their first-run success rate and therefore efficiency, LiveEO built a composable data platform to minimize failure, expose new data products faster to dependent teams, and scale efficiently.

In today’s data-driven world, organizations are increasingly challenged to extract meaningful insights from both structured and unstructured data. Join Matillion and Snowflake in this exclusive session where we explore the transformative power of generative AI within data pipelines, leveraging Snowflake's robust platform and Cortex's advanced capabilities.

This session will guide you through practical use cases that demonstrate how to integrate unstructured and structured data to unlock new insights seamlessly:

Transforming Unstructured Data into Actionable Intelligence:

Discover how to convert customer reviews into structured data by labeling actionable items, extracting product names, and assessing sentiment. We’ll walk you through creating a BI dashboard and generating reports that highlight actionable defects and desired features, empowering your team to make data-driven decisions.

Generating Executive Summaries from Structured Data:

Learn how to generate insightful commentary from your existing structured data. We’ll show you how to create concise executive summaries and trend analyses, integrating contextual information such as competitor activities or regional updates. Imagine automating a weekly Slack message to your leadership team, complete with key sales trends and strategic insights.

Throughout this session, we will showcase the capabilities of Cortex, demonstrating how it can be seamlessly integrated into your data pipelines to enhance your data processing workflows. Whether you’re looking to improve customer experience, drive operational efficiency, or stay ahead of the competition, this session will provide you with the tools and techniques to harness the full potential of your data.

Join us to learn how to turn data into actionable insights that drive business success.

During his talk, Alex will discuss the value of moving from a batch-based architecture to a real-time, event-driven architecture with Apache Kafka®. He will then explain how you can build valuable data products with Confluent that unlock high-volume performance, data governance, and AI use cases. 

In the era of AI-driven applications, personalization is paramount. This talk explores the concept of Full RAG (Retrieval-Augmented Generation) and its potential to revolutionize user experiences across industries. We examine four levels of context personalization, from basic recommendations to highly tailored, real-time interactions.

The presentation demonstrates how increasing levels of context - from batch data to streaming and real-time inputs - can dramatically improve AI model outputs. We discuss the challenges of implementing sophisticated context personalization, including data engineering complexities and the need for efficient, scalable solutions.

Introducing the concept of a Context Platform, we showcase how tools like Tecton can simplify the process of building, deploying, and managing personalized context at scale. Through practical examples in travel recommendations, we illustrate how developers can easily create and integrate batch, streaming, and real-time context using simple Python code, enabling more engaging and valuable AI-powered experiences.

Big data has moved beyond being just a buzzword; it's now at the heart of modern business strategies. When used effectively and efficiently, data can open up new revenue opportunities, provide deep insights, and even drive social impact. As digital transformation accelerates, data is no longer just a tool—it's woven into the fabric of every part of an organization. Designing and maintaining a tier 1 data platform has become essential to staying ahead of the competition. 

Especially with AI-driven applications on the rise, the convergence of DevSecOps and DataOps is becoming increasingly critical. The recent global disruption caused by a security company's mistake was a wake-up call—highlighting just how high the stakes can be. Building and scaling data platforms isn't enough; security and scalability need to be integral to the entire data lifecycle. 

Bringing more than a decade of SRE experience to maintaining and managing top enterprise software, we will discuss how to tear down silos and encourage collaboration among development, security, operations, and data teams. By doing so, organizations can achieve unprecedented levels of reliability and security. Integrating DevSecOps with DataOps doesn't just automate and protect data operations—it also safeguards data integrity, privacy, and compliance, even as data environments expand in size and complexity. In today's competitive market, this proactive stance is what will set the leaders apart from the rest.

Main Actionable Takeaways:

• Cultivate a Collaborative Culture

• Prioritize Resilience and Recovery

• Integrate Security Seamlessly into Data Pipeline

Navigate the complexities of today's digital and data landscape in our panel discussion that underscores the essential role of data governance in the era of accelerating mis- and dis-information. As Big Data ceases to be a buzzword and transforms into the lifeblood of decision-making, governance is elevated from a regulatory compliance requirement to a differentiator and a beacon of trust. This session goes beyond exploration of governance as a data hygiene factor and delves into the relationship between governance, value creation, and elicitation of trust—particularly for decisions steered by AI as we travel into the world of automated risk management and decision making.

Curious about Data Observability or eager to leverage AI to its fullest potential? Join this session to explore what Data Observability is and how industry leaders leverage it for a competitive edge. Whether you're new to the concept or looking to deepen your knowledge, this session empowers you to excel in the AI age with trusted, high-quality data delivered by Acceldata, the All-in-One Enterprise Data Observability Platform.

Learn how AI is transforming the tech industry. 

Join us for a panel discussion where industry leaders will share insights on using AI to enhance business intelligence, drive innovation, and gain a competitive edge. 

Discover how AI can improve decision-making, personalise customer experiences, and boost operational efficiency. 

This session offers actionable insights for companies looking to harness the power of AI-enhanced analytics. 

Stop wrestling with unstructured data! In this session, discover how prompt engineering can effortlessly turn messy text into structured, machine-readable gold. We'll show you how to categorize news, social posts, and customer feedback, summarize lengthy emails and discussions, and even clean up messy data by fixing typos and inconsistencies. No coding skills are needed! You'll leave empowered to extract valuable insights from unstructured data, streamline your analysis, make faster decisions, and empower your whole team to work with AI.

Artificial Intelligence (AI) has well and truly landed in the boardroom, driven by the hype and clear potential that AI promises. For a select group, this has been an accelerator to performance, delivering operational and strategic improvements. For many, however, confusion and lack of certainty has crept in, creating overwhelm and indecision. In this session, Jason will talk about what’s been happening in the Boardroom and how you, as data leaders and professionals, can react and use this time as an opportunity. 

Ready to elevate your data game? Join us for an exciting session with Shiv Nayak from EasyJet! Discover how they’re transforming their approach with cutting-edge technology—natural language search, AI, and GPT—to make data insights faster and more accessible than ever. In a fast-paced world where speed and clarity are crucial, see how EasyJet is staying ahead of the competition by turning data into a powerful, self-service tool that drives their success. Shiv will be joined by James Smith, VP EMEA at ThoughtSpot. Don’t miss this chance to learn from the leaders shaping the future of data.

Join Nir Evron for an insightful session on the next wave of AI innovation. With Generative AI having revolutionized industries for nearly two years, we will explore emerging trends and ground breaking concepts that define the ‘Season 2 of AI’. Discover how these advancements are shaping the future of technology and driving unprecedented opportunities.

Industry leaders from Adaptavist and Givaudan will share insights into their data stack and maturity, the importance of data observability, and who should own it internally. They will discuss their journey to securing buy-in for data observability, offer advice for organizations beginning their journey, and explore the future role of automation and AI in this space.