"Are you ready to revolutionize how you handle data? Join us to discover how the Workspace

Group, a leading provider of flexible office spaces in London, transformed their data processes to create and enhance marketing materials more efficiently and cost effectively. As Workspace Group’s portfolio has expanded, they faced growing challenges in managing their property and unit information accurately and timely. To address these challenges, they have used FME to support data integration, automation, digitisation and standardisation. Recently, the combined power of FME and Generative AI have helped to transform the way digital assets are attributed and marketing materials are created. Learn how they have automated manual tasks to improve efficiency, freeing up time for their team to focus on more important projects. Join us to learn how FME can transform your data processes, connect diverse sources, and automate workflows. Don’t miss this chance to see how your organisation can achieve similar success and optimise your data workflows with AI and FME.

Join us to learn how Workspace Group combined Generative AI and FME to transform their data processes and improve efficiency.

Explore common failure points in data leaders' adoption of AI and provide actionable advice for how to ensure your AI roadmap is successful.

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.

As many organizations strive to harness the transformative power of Generative AI, implementing a data fabric has emerged as the solution...

This presentation will explore the cutting-edge applications of generative AI within the highly regulated landscape of pharmaceuticals, highlighting the potential benefits for patient care while addressing the challenges of compliance and ethical standards. At the heart of this discussion lies Novo Nordisk's pioneering work in constructing a multi-modal clinical data platform designed for the secondary use of data. This platform is particularly crucial for the cultivation of high-quality datasets that are integral to the success of generative AI. The presentation will introduce the concept of AI agents - intelligent systems equipped with the capabilities of planning, utilizing tools, and accessing memory. Moreover, the session will highlight the crucial role AI agents play in bridging the data literacy gap among teams within the pharmaceutical sector. By facilitating a deeper understanding of data, these agents empower professionals across disciplines to collaborate more effectively and make strides towards transformative healthcare solutions. 

Attendees will gain valuable perspectives on how to responsibly harness the power of generative AI to accelerate clinical breakthroughs, ensuring that ethical considerations and regulatory requirements are met.

Are you struggling to gain leadership support, craving stakeholder engagement, and begging for proper funding? Even though you may create analytic Gen AI wonders with your data, it won’t matter unless you explain the value in practical business terms. Join The Data Whisperer’s rollicking and riotous review of current buzzwords and some practical tips to help you bridge the story gap between data and the business. n this session, you’ll learn:

• How to differentiate between a data management narrative and other data storytelling efforts 

• Strategies to secure executive sponsorship and ongoing funding 

• The 3Vs of Data Storytelling for effective Data Management

In this session we will discuss Gen AI and the issue we face in regards to cognitive biases. 

What are cognitive biases and how do they relate to Gen AI?

Personality traits for tech professionals in the world today, and how that has impacted the industry. 

How being an ‘other’ can be a USP and an advantage. 

We’ll look as diversity and how diversity drives innovation. 

We’ll take a look at Bootcamps and Apprenticeships in the UK, and how this can bring in more diversity without breaking the budget. 

Gen AI has been the sole talk of the town since last 18 months and leaders across the world are feeling the heat to leverage its benefit. However, is simply adding Gen AI to the work solving the problem or creating future Tech Debt. Can Gen AI supplement or (even) replace data professionals?

How do you build your data strategy around Gen AI with limited early experience and knowledge. Join this talk to find out.

From the perspective of a multidisciplinary professional (tech/law/change management) “How to get fired by ignoring AI Governance” is for CDOs & CDAOs, those leading AI Governance, business executives & product owners with products that might fall within the new EU Artificial Intelligence Act (“EU AI Act”) passed in March 2024. 

Starting with an overview of the current global regulatory landscape with a focus on the EU AI Act, the talk dives into the most relevant impact, actionable takeaways, and strategic questions to reflect on.

Leveraging customer data is essential for improving customer experiences and creating competitive advantage. However, many organizations struggle with fragmented data infrastructure, limited flexibility, and high costs associated with traditional customer data platforms (CDPs).

In this fireside chat, Steven Collings, Data Platform Engineering Lead at Zoopla, and Eric Omwega, Chief Operating Officer at RudderStack, will discuss how Zoopla tackled these challenges by adopting a warehouse-native approach to customer data with RudderStack.

Steven will share insights into Zoopla's journey, including:

• The challenges that prompted Zoopla's switch from Segment to RudderStack
• How RudderStack enabled Zoopla to regain control over their data while leveraging existing infrastructure investments
• The importance of flexibility and control in a customer data platform
• Zoopla's innovative use cases for customer data, including website personalization, email marketing, and advertising
• Future plans for advanced data applications, including building an identity graph, anonymous user personalization, and AI-driven recommendations

In this session, we delve into the compelling intersection of artificial intelligence (AI) and data management.

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

Elysia provides battery manufacturers and owners with actionable battery insights using Snowflake's AI data 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.

In this session, Chad Sanderson, CEO of Gable.ai and author of the upcoming O’Reilly book: "Data Contracts," tackles the necessity of modern data management in an age of hyper iteration, experimentation, and AI. He will explore why traditional data management practices fail and how the cloud has fundamentally changed data development. The talk will cover a modern application of data management best practices, including data change detection, data contracts, observability, and CI/CD tests, and outline the roles of data producers and consumers. 

Attendees will leave with a clear understanding of modern data management's components and how to leverage them for better data handling and decision-making.

The quality and usability of data determine the success of data-driven projects, and it has never been more critical to establish an operational pipeline of high-quality data that is both secure and accessible. Once distinct disciplines, Data Governance, Master Data Management, and Generative AI have converged to deliver data that is insight- and AI-ready in record time. Join our experts for practical examples and actionable advice you can use to get started.

Most organizations are using GenAI in hopes of gaining easy access to information needed by their users to enable greater productivity. At the same time, it's also well-documented that LLMs can deliver inaccurate information. To be of value, users need to be able to trust that the answers presented to them are correct.

This is a key issue at the center of AI adoption and its applications in the real world. For example, many organizations are beginning to develop, test, and implement chatbots for internal and external use to provide answers to questions by using natural language. When those chatbots do not produce the right answers, all the time and effort put into creating them ends up wasted.

Join David Jayatillake, Cube's VP of AI, for an in-depth discussion on the current state of GenAI and the rise of the semantic layer.

In this talk, you will learn about:

The current state of GenAI

The rise of the semantic layer in modern data stack with AI

The significant differences between an AI chatbot with and without a semantic layer