Building visualizations in a BI tool is just the beginning. To create truly innovative data products, we must blend BI and data pipelines into a reactive, composable end-to-end system. Such a system adapts to changing business conditions, evolving technologies, and increased scale to meet customer needs. Join us to explore why “Analytics as Code” is the future of BI and learn how to make it a core component of your analytics engineering strategy.

Across multiple industries, time and again Data and Analytics teams find it difficult to setup and execute experimentation programs at scale in order to drive sustainable, data-driven growth. A significant challenge we have identified is the limited time teams have to focus on new ideas, challenges and R&D, with BAU responsibilities often taking priority. In this panel, we will explore ways that both Twenty First Group and Motorway have tried to address this issue by giving their Data and Analytics teams protected time, spaces and roles to enable these longer term development goals. In partnership with Women in Data we will explore how to best identify that critical (female) talent that can help facilitate these kinds of initiatives and how we can continue to empower our teams to succeed in an ever-changing industry.

We’ve never had more data, and we’ve never had more immediate access to data thanks to the success of the Kafka protocol. But what use is data if you can’t process it quickly enough to make a difference? Or can’t handle the scale with which it’s being generated? Or can’t make robust ACID-grade decisions if the situation requires it? 

Volt Active Data is a real time decisioning platform that’s been around for a decade now, and plays a silent role in the lives of over a billion people every day. It’s used to run the prepaid mobile phone system for over 700 million end users, control millions of energy meters in Europe, and provide real time user analytics for over 500 million video game users worldwide. 

In this session we’ll show how Volt’s new Stream Processing component allows you to connect the most powerful information pipeline (Kafka) to the most powerful real time decision engine (Volt).

Why does this lead to value? The Kafka-verse is very good at telling us about disjoint events in the recent past, but is short of tools to turn all that raw data into a clear understanding of what’s happening right now. Volt is excellent at the kind of tasks you need to solve if you want to get to ‘right now’. Complex aggregations, joining streams of imperfectly related data, enrichment, filtering, routing and other aspects of ‘Data Plumbing’ are easy with Volt. Once you have a clear and robust view of ‘right now’ you can get Volt to make real time decisions, at scale and with 100% ACID consistency that allow you to make the most of your newfound understanding.

Volt is more than just a stream processing platform. It started out as a performant, scalable and 100% ACID in memory database before evolving into a real time decision engine. Now, thanks to our new Stream Processing module you can get Volt to operate at the scale of your business, with the response times needed for success and the reliability your customers and stockholders expect.

Everything has changed in the last year with Generative AI entering onto the scene. This means a re-shuffling of priorities and budgets, putting AI-enabled Data & Analytics right back at the top of the agenda. In this session we will discuss: 

• That there is no Generative AI without data – but it has to be the right data 

• The importance of being able to bring together organised and trusted data 

• Why your data integration strategy is the foundation to successfully using AI

Discover how D&G's diverse leadership has unified our data team by leveraging advanced tools and AI technologies. Learn how we foster a collaborative culture that drives innovation and impactful outcomes through state-of-the-art strategic analytics and AI-driven insights. Join us to explore strategies for integrating cutting-edge tech with diverse perspectives to enhance team performance and achieve impactful business and customer outcomes. 

Overcome the limitations of your legacy data warehouse or BI systems and reap the benefits of a cloud-native stack with LeapLogic, Impetus’ automated cloud migration accelerator. Join our session to explore how LeapLogic’s end-to-end automated capabilities can fast-track and streamline the transformation of legacy data warehouse, ETL, Hadoop, analytics, and reporting workloads to the cloud. Gain actionable insights from real-world success stories of Fortune 500 enterprises that have successfully modernised their legacy workloads, positioning them at the forefront of the GenAI revolution. 

Join us at the Gen AI theater for an exclusive fireside chat with Matthew Thomson, Nokia’s head of data and digital, and Marianne Taudiere, Quid’s vice president of EMEA. Delve into how predictive analytics is revolutionizing strategic functions, explore the pivotal role of data in Nokia’s operations, and discover compelling case studies showcasing the transformative impact of Generative AI. Don’t miss this engaging session to learn how Gen AI is shaping the future of business!

Improve your data infrastructure with governance and security, using proven methods and best practices. Break down data silos, foster collaboration, and optimise data accessibility, empowering your business units with the data and technologies they need. Learn how AI improves efficiency and streamlines data product development. And see how Microsoft Fabric simplifies data estate modernization with a focus on unifying your data in an open and governed foundation.

Premier Foods wanted to modernize its approach to data, building an architecture that would provide actionable insights, unlock vital data from business systems to simplify processes, and reduce risk.   

Join this session to learn now Premier Foods, working with Snap Analytics, implemented Matillion to deliver 15 different data solutions across the organization, including plastics reporting, customer service, manufacturing, sales reporting, procurement and product development.

Find out how they saved over 500 days of manual work and hundreds of thousands of pounds through decommissioning unnecessary data activities.

For decades, data modeling has been fragmented by use cases: applications, analytics, and machine learning/AI. This leads to data siloing and “throwing data over the wall.”

With the emergence of AI, streaming data, and “shifting left" are changing data modeling, these siloed approaches are insufficient for the diverse world of data use cases. Today's practitioners must possess an end-to-end understanding of the myriad techniques for modeling data throughout the data lifecycle. This presentation covers "mixed model arts," which advocates converging various data modeling methods and the innovations of new ones.

Many people call AI, "the biggest technology change in their lifetime". The race is on for data & analytics leaders to turn this hype into business outcomes. What can we learn from the early adopters of AI? How do we avoid their mistakes and maximize the value of AI? This session will explore common failure points in data leaders' adoption of AI and provide actionable advice for how to ensure your AI roadmap is successful.

As many organizations strive to harness the transformative power of Generative AI, implementing a data fabric has emerged as the solution of choice to manage and leverage vast amounts of data effectively.

Join Kaycee Lai, Founder of Promethium, and Matt Clark, who leads data at National Grid Energy Transmission (NGET), as they explore how National Grid is deploying a data fabric to accelerate time-to-insight, enhance data value, and empower AI initiatives. They will discuss the specific challenges their team aimed to address, the strategic approach they took to implement the data fabric, and the critical role that data products play in delivering rapid analytics and enabling Generative AI.

Don’t miss this insightful session to learn how the company is pioneering data fabric technology to drive innovation and efficiency in the energy sector.

High-performance analytics can be a game-changer, but the infrastructure to support it often comes with a hefty price tag. In this talk, I'll share strategies to build a cost-effective sub-second analytics platform using open-source tools and lessons learned from cloud services. I'll cover the trade-offs between self-hosting and managed offerings and discuss ways to optimize infrastructure costs — from maximizing cloud 'nuggets' to ensuring your engineering team is right-sized and focused on solving important business challenges. Drawing from patterns, caveats, and success stories observed with our clients, the goal is to power lightning-fast analytics without breaking the bank.

Have you ever received 50 emails from an Executive asking why a number changed on a business reporting dashboard? Come and hear how Databricks customers are experimenting with Gen BI to explain “The Why”.

• IT and data teams build dashboards, the business continues to use Excel - the last-mile problem

• Our analytics tools don’t explain “The Why”

• GenAI allows us to blend context and semantics in a way we could never previously scale

We call this Generative BI, enabled by the Databricks Data Intelligence Platform.

To stay competitive in the current economy, businesses need to use data democratisation to gain insights through BI and analytics.

Breaking data silos, deriving 360° insights, blending data across business functions, and empowering everyone with insights can truly transform business outcomes.

Artificial intelligence is now augmenting every layer of business intelligence to be more powerful, democratising access to insights. By adopting a modern BI and analytics platform, businesses can unlock transformative potential and uncover growth opportunities.

Join us to start your BI journey and learn how AI is evolving in the data and analytics domain to meet emerging business needs.

Here's what you can expect from this session:

• The state of data and analytics adoption

• Data and analytics challenges faced by businesses

• How generative AI is reshaping analytical insights

• Guide to transforming outcomes by adopting a modern AI-driven BI platform

Electric vehicles produce billions of diagnostic data points, combining these data with advanced cloud-based battery models we can use software to unlock longer battery lifetimes, increased range, faster charging and predict safety issues. 

Elysia Battery Intelligence from Fortescue Zero is built on over 15 years of experience in electric motorsports. Elysia provides battery manufacturers and owners with actionable battery insights using Snowflake’s data platform as the backbone of their AI-driven battery analytics. In this session, Pezhman Zarabadi and Matt Clarke will demonstrate how Elysia are leveraging Snowflake to scale Elysia, enabling seamless conversion of innovative battery research to new features. They will also discuss Elysia’s recently announced collaboration with Jaguar Land Rover to monitor their entire portfolio of electric vehicles.

The analytics field has grown increasingly complex, leading to an 'analytics debt' that hinders strategic focus and burdens businesses. This talk will dissect analytics debt and its impact on scaling operations. We'll showcase how MicroStrategy AI can streamline analytics by reducing the need for extensive reporting with AI chat and applications simplification. Features like Auto Answers, Auto Dashboards, Auto SQL and Auto Expert not only speed up development but also democratize data expertise, making vast resources accessible to all. Discover how these innovations can redirect efforts towards business growth, improve margins, and empower stakeholders with smarter, user-friendly analytics tools. Join us to unlock your data's true potential and eliminate analytics debt.

Key business metrics, like Annual Recurring Revenue (ARR), are the lifeblood of every company, but calculating and aligning on these critical metrics can be a daunting task. Inconsistent definitions, siloed data, and lack of collaboration between teams often lead to confusion, inefficiencies, and suboptimal decision-making.

In this session, we'll take you on a journey of how a rapidly growing SaaS unicorn tamed the metric beast by leveraging Sightfull's central store of governed metrics and integrated semantic layer.

You'll discover how this company transformed its approach to business metrics from a tangled web of spreadsheets and disparate data sources into a streamlined, transparent, and democratized process accessible to the entire organization.

We'll also demonstrate how business users, such as sales operations analysts and finance teams, were able to ask questions using natural language to perform ad-hoc analysis on the fly without relying on technical experts or complex queries.

By the end of this session, attendees will understand the value of having a central store of governed metrics and an integrated semantic layer, enabling self-service analytics, consistent metric definitions, and effective collaboration between data teams and business users.

You are under relentless pressure to prepare for massive data growth, empower end users, and reduce application sprawl, all while building the infrastructure needed for AI adoption and securely sharing data across entities. The urgency to cut the overhead of delivering data products has never been greater, demanding a unified approach to these challenges.

See how Sigma and Sigma's customers have consolidated and even eliminated applications, built highly leveraged data products and, most importantly, put self-service data in the hands of everyone at the enterprise.

Join us as John Readman, Founder & Product owner of ASK BOSCO®, unveils how their cutting-edge AI Marketing Platform is revolutionising the industry with ThoughtSpot’s powerful TSE solution. From overcoming frustrating limitations with previous platforms to embracing AI for explosive growth, John will share their exciting journey and vision. Don’t miss this chance to see how ASK BOSCO® is setting new standards and why ThoughtSpot is their game-changer. Be part of this transformative session and witness the future of analytics in action! John will be joined by Cindi Howson Chief Data Strategy Officer at ThoughtSpot and Host of award winning The Data Chief podcast.

As technology evolves and organizations shift from digital to AI-native, data becomes the cornerstone of innovation. AI both relies and thrives on data, transforming raw information into valuable insights. This session explores how empathy—through trust and openness—plays a crucial role in creating resilient data, analytics, and AI platforms. Join us to examine emerging trends and technologies that can unlock the full potential of your data. We will discover why embracing empathy in your technological infrastructure fosters more adaptable, reliable, and effective data-driven solutions. Additionally, you'll learn how your technological infrastructure can ensure a stronger path to success in the AI era.

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. 

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.

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