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!

Matthew Thomson (Nokia) and Marianne Taudiere (Quid) reveal how predictive analytics are revolutionizing strategic decision-making.

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.