Organizations are struggling with a lack of usage and low ROI for their BI practices. Users are overwhelmed with too much information, and they don’t know what they can trust. Attend this session to see how Metric Insights’ BI Portal works by integrating all your BI tools, reporting, and metrics into a single, consolidated catalog of governed BI assets that users can access, knowing it contains content they can trust.

In this insightful fireside chat, Yusen Logistics shares their transformative journey towards embedding a data-driven culture across their organisation, emphasising the pivotal role of analytics in their operational success. The discussion highlights the critical milestones, tools, and strategies that empowered Yusen to evolve from an initial finance automation use case to a company-wide data-driven powerhouse.

Key discussion points include how Yusen:

• Went from a centralised data analytics team to a decentralised model that empowered wider departments.

• Reduced reliance on IT to speed up decision making and scale across the organisation

• Leveraged Alteryx as a catalyst for change, gaining buy in from senior stakeholders and proving value quickly.

In today's data-driven world, data mastery is crucial for success. Enter Data Observability, a revolutionary approach that tackles complex challenges and unlocks new possibilities in the age of AI. This session explores the transformative power of Data Observability through compelling use cases across various industries, including retail, finance, manufacturing, healthcare, and more.

As a leader in Data Observability, Acceldata will showcase how organizations can:

Detect and resolve data issues in real-time

Ensure data integrity throughout complex transformations

Maintain consistent data quality across diverse systems

See how retail giants optimize supply chains and enhance customer experiences, how financial institutions achieve superior compliance and risk management, and how manufacturers leverage data for efficiency and innovation.

This presentation goes beyond theory, showcasing the immense potential of Data Observability.

Many companies are under pressure to implement Gen AI ASAP, but not everyone sees the risks clearly. New Actian research shows nearly 80% of respondents think their data quality is up to the task. But real data prep takes more work than most business leaders think. How can you avoid the data prep pitfalls that can tank a Gen AI initiative? How can you move quickly—and confidently—into the Gen AI era? Actian’s SVP of Engineering & Product, Emma McGrattan and CMO Jennifer Jackson will share research and customer perspectives to explain true data readiness and how to optimize your Gen AI journey.

In the last decade data has served as a guide to learn from the past, make decisions in the present and the drive insights for the future. The Art of possible that ChatGPT demonstrated in 2023 Channeled investments towards improving data capabilities. Peer competition, emergence of challenger organisations, advance analytics has increased customer expectation and exerted increased pressure on data analysis and exploration . 

These increased expectations has translated into new way of working with data and has demanded teams to be more data driven. This has resulted in emergence of data risk. No matter the expectation there is always a boundary on what data can deliver and cannot deliver. This boundary is directly related to the original intent of data collection and organisational data policies, risk policies and risk appetite. As all part of the organisation touch data and it has become increasingly challenging to mitigate data risks. Acknowledging this major Banks have elevated data risk to Principle risk. This has allowed data office to have more control on how data is being used and accessed within an organisation and most importantly embed business accountability for data as required by most regulations such as BCBS239, GDRP expect. 

In this 30 minutes we will explore 

• What is Data Risk? 
• How to identify Data Risk and design Data Risk Taxonomy? 
• Who are the key stakeholders within an organisation responsible to mitigating data risk? 
• How to design risk appetite for Data Risk? 
• Explore how key data risk controls should look like?

As data volumes multiply, business budgets shrink, and the data industry changes, relying on the old ways of executing can hold you and your team back. By embracing scalable, future-ready strategies, data engineers can shift focus to high-impact projects like AI and GenAI, helping your personal growth and your business stay ahead of the curve.

Join our session to:

• Learn how evolving your data architecture paves the way for AI and next-gen workloads

• Balance the trade-offs between building in-house and adopting modern tools for efficiency and scalability

• Discover how to transition to an AI-ready architecture, unlocking time for more innovative, revenue-generating projects.

When introducing new technologies into any business, resistance is often unavoidable. Connecting the people to the platform & accepting change is a journey Chaucer are very familiar with. Discover how they overcame resistance to change and are implementing Snowflake as their core platform. During this fireside chat, Marion will emphasise the importance of training and development in driving transformation and her passion for empowering girls and women in data. Join us to learn how aligning people with the right platforms can drive meaningful transformation and build a more inclusive future in the data industry.

Learn how Striim helped National Grid set up for rapid delivery of high-quality insights through transformation of its data operating model, which enabled the creation of domain-oriented data products on a business wide-data mesh.

While Generative AI has dominated technological discussions since the release of ChatGPT, it represents just a fraction of the broader AI landscape. Many organizations are still struggling to harness its potential. In this session, we’ll explore the key challenges that successful companies have overcome in their AI journeys and highlight the major opportunities for leveraging the full spectrum of data and AI technologies.

As organizations are exploring and expanding on their AI capabilities, Chief Data Officers are now responsible for governing the data for responsible and trustworthy AI. This session will cover 5 key principles to ensure successful adoption and scaling of AI initiatives that align with their company?s business strategy. From data quality to advocating for ethical AI practices, the Chief Data Officer?s mandate has expanded to compliance of new AI regulations. Peggy Tsai, Chief Data Officer at BigID and adjunct faculty member at Carnegie Mellon University for the Chief Data Officer executive program, will provide insights into the AI governance strategies and outcomes crucial for cultivating an AI-first organization. Drawing on her extensive experience in data governance and AI, this session will be an invaluable guidance for all participants aiming to adopt industry-leading practices.

Rapid AI advancements are pushing businesses to rethink their data strategies, aiming to equip every employee with actionable, predictive insights on demand. However, innovation at speed comes with risks like unreliable data, trust issues, and change management obstacles. CEOs need these risks addressed before backing such initiatives. This session will guide you on enabling AI-driven transformation, managing risks, scaling efficiently, and achieving meaningful business results. It will also provide pointers to build a compelling business case to secure adequate funding for such initiatives. Uncover the roadblocks and essential fundamentals for driving innovation.

Explore a transformative shift in healthcare with Ranjit Gill, CIO of the AAH (Hallo Healthcare Group) and Pete Lydon, Director Sales Engineering at Actian. This session highlights Hallo's adoption of a cloud-first strategy, effectively managing over 21 million billing entries and thousands of daily orders. Learn how cloud analytics has not only streamlined massive data flows but also significantly enhanced patient service delivery, establishing new benchmarks in healthcare efficiency and responsiveness.

Telenet, an affiliate of Liberty Global, is a market leading telecom known for its continuous customer-centric innovation using AI and data analytics. As an early adopter of Snowflake, they use data to drive cutting edge innovation such as hyper personalized customer services and privacy compliant data sharing with networking and broadcast partners. To further spur innovation, Telenet wants to make it easier for analysts and AI engineers to find and access data. In this session you will learn how Telenet is using Snowflake, AWS and Raito to give data analysts and AI engineers access to data in a fast and secure way.

How can the public sector thrive without data clarity and security?

Join Professor Vishnu Chandrabalan, Director and Chief Clinical Information Officer of the Lancashire and South Cumbria Secure Data Environment (SDE), as he shares his team’s journey towards securing NHS data to enable better research outcomes and patient care.

Have you ever wondered how to build trusted data products without writing a single line of code? Do you know how to do that for a Snowflake Native App? Learn how to cut your development loop short with DataOps.live. Iterate on your implementation without ever setting up a local development environment, test it before sharing it with your team members, and finally, use CI/CD to operationalize the result as a data pipeline. Automated tests establish trust with your business stakeholders and catch data and schema drift over time in your scheduled data pipeline.

Do 70% of data transformations fail? Pass, it is dubious stat. But it is certainly true that most organisations are only achieving a fraction of what they could with their data

Join former Benny Benford, Datent founder and former CDO of JLR as he shares as much actionable advice as we can in the time. This isn't a pitch – it's a practical session in real-world data transformation challenges from why and how to measure data ROI to managing data culture as a product.

All slides will be emailed to attendees afterwards for you to reuse. No catch. This is all part of our goal to open source our data transformation toolkit and enable data intrapreneurs to materially improve the outcomes that matter to their organisations.

The gender disparity in the technology and data sectors is a pressing issue, with women significantly underrepresented in these fields. Research indicates that gender biases and societal stereotypes influence career interests from a very young age, diverting many girls away from STEM-related subjects long before they make crucial educational choices. In this talk, we will explore the data-driven insights that led to the creation of the Girls in Data charity, which is committed to addressing this imbalance by fostering an early interest in data and technology among young girls.

By analysing extensive data on educational choices, societal expectations, and gender representation in tech, we reveal the critical points at which interventions can have the most impact. We will discuss how these findings have shaped our targeted curriculum, designed to inspire, educate, and empower girls to pursue careers in data and technology.

Join us to discover how you can contribute to this mission and learn how your company can partner with Girls in Data to build a more diverse and inclusive future workforce by engaging the next generation of female data professionals.

For over a decade organisations have been managing their most valuable data assets with Cloudera. That means that the most valuable data under management has never been accessible to the latest wave of AI. Now is the time to unlock the potential of Enterprise AI. Let's make data more accessible than ever before, let's lower the bar to access and bring data, analytics and augmented business intelligence to the whole Enterprise.

In this session, we'll explore how to translate all the latest data management trends: actionable data governance, generative AI, semantic ontologies, knowledge graphs, metadata management, into the business language and demonstrate the value of data initiatives quicker. For business users it's not just about keeping up with the latest tech trends. It's about the fundamental goals of lowering costs, increasing profitability and reducing time to value.

While digital transformation has made data essential for growing and improving your business, influencing change still means winning your coworkers' and executives' hearts and minds. This requires more than dashboards and spreadsheets. In this session, Adam Greco, an analytics industry veteran, will share real-world stories of how organisations like Salesforce and others have combined analytics data and storytelling to influence change.

As data technologies and products rapidly evolve, the complexity of data pipelines can quickly escalate, challenging even the most experienced teams. In this session, we’ll dive into how the Data Team at Jamf embarked on a transformative journey to modernise and accelerate their data platform. Learn how Jamf adapted to evolving industry demands, reduced latency, and streamlined processes to stay ahead. This session offers a behind-the-scenes look at the strategic decisions and innovations that enabled Jamf to build a scalable, future-ready data infrastructure.

Travel Management Companies (TMCs) are specialist travel providers that manage the business travel requirements of corporations of all sizes. They book and manage air travel, hotel stays, car hire, rail and other trip components for companies with varying budgets, traveller populations, policy requirements and service expectations, and deliver value in being able to control travel spend through policy management (e.g. class of travel), profile management (e.g. individual preferences), traveller tracking and delivering centralised booking and invoicing solutions.  

A standard, linear model of data provision exists ubiquitously in the corporate travel industry whereby TMCs provide reporting to analyse and consolidate spend and adjust policy. Data is provided in standard formats, with little focus on specific customer questions and travel policy management is retrospective and antiquated. 

In this presentation, delegates will see how Take2Eton is re-engineering our data landscape. From what started as project to improve our reporting and analytics platform by centralising data using a low code, highly governed, adaptable platform, we have now built a booking app, policy engine, data management app and data consolidation tool from ground up, improving customer interaction with our data at all stages of the lifecycle.

Join us as we explore the challenges and learnings of implementing generative AI in real-world environments. This keynote presentation will delve into the key considerations for overcoming organisational blockers to support faster delivery cycles.