Exploring the practical applications of generative AI in driving data-driven decision-making within our organisations. From simplifying marketing optimisation decisions to decentralising insights, this talk showcases how businesses leverage generative AI to innovate and adapt in today's dynamic landscape. So, join us to discover how this cutting-edge technology is revolutionising decision-making, driving growth, and providing a competitive edge in our business.

Generative AI (GenAI) has garnered significant attention for its potential to revolutionize various industries, from creative arts to data analysis. However, organizations are realizing that implementing GenAI is not as easy as just asking ChatGPT a few questions. Providing the most relevant and accurate contextual data to the LLM is critical if organizations are going to realize the full benefits of GenAI. Retrieval Augmented Generation, or RAG, is a well understood and effective technique for augmenting the original user prompt with additional, contextual data. However, many examples of RAG grossly oversimplify the reality of enterprise data ecosystems. In this session, we will examine how a Logical Data Fabric can make RAG a practical reality in large, complex organizations and deliver AI-ready data that make RAG effective and accurate.

"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.

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

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.

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.

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

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 

Discover the functionality of key GenAI models, including GPT, Gemini, and Open-source alternatives.

Learn how Ask ICIS combines the power of GenAI with ICIS trusted intelligence to transform how customers access vital data.

The success of AI initiatives hinges on DATA. According to recent research, only 10% of enterprises will achieve the expected ROI from their Generative AI deployments, with data quality issues being the most cited reason for failure. The core message is clear: 'You are as AI-ready as your data.' This session will explore practical approaches to overcoming common data challenges and ensuring your data meets the specific requirements of AI techniques.

Key Takeaways:

• Understanding AI Readiness & how to assess it?

• AI-Ready Data: Two core Foundations

• Build a scalable data infrastructure that accelerates AI deployment and innovation. DQLabs Framework & Practical Approaches to fix your data problems.

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.

Join our session on GraphRAG, blending graph theory and generative AI for intuitive, enriched data interaction and smarter insights.

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.