14 – 17 October 2024 | etc.venues, 8 Fenchurch Pl, London EC3M 4PB
2024 Keynote Speakers
Good data quality is essential for every business as without it they can’t analyse, they can’t report and they can’t plan. But good data quality doesn’t just happen on it’s own. You have to work at it by ensuring that you have the right processes in place for collecting and storing the data.
This workshop will help you achieve your data quality by:
• Helping you understand what data quality actually is and its relevance to your business
• Explaining the concept of data value and how you can use it to sell the concept of quality
• Outlining examples of common data problems and their causes
• Giving you a comprehensive data quality framework that you can directly apply to your own business
• Examining each element of that data quality framework giving you practical examples of how to embed it in your current data management processes (or even set up new ones)
• Understanding the role of data governance in all of this
• Helping you prioritise your efforts
Delegates will take away practical, hands-on advice to help them achieve better data quality in their businesses.
In this digital world, it is becoming clear to many organisations that their success or failure depends on how well they manage data. They recognise that data is as a critical business asset which should be managed as carefully and actively as all other business assets such as people, finance, products etc. But like any other asset data does not improve itself and will decline in usefulness and value unless actively maintained and enhanced.
For any organisation a critical first step in maintaining and enhancing its data asset is to understand two critical things:
• How well does data support our current business model?
• How do we need to improve and develop it both to better sustain our current business and to enable our future business strategies and goals?
The primary purpose of a data strategy is to answer these two critical questions. For any data driven organisation a data strategy is essential because it serves as a blueprint for prioritising and guiding current and future data improvement activities. Without a data strategy, organisations will inevitably try to enhance their data assets in a piecemeal, disconnected, unfocused way, usually ending in disappointment or even failure. What’s needed is a well crafted and coherent data strategy which sets out a clear direction which all data stakeholders can buy into. And as the famous US baseball player Yogi Berra once said, “If you don’t know where you are going, you’ll end up somewhere else.”
This workshop will teach you how to produce a workable and achievable data strategy and supporting roadmap and plan, and how to ensure that it becomes a living and agile blueprint for change.
The Workshop
In this half day workshop Nigel Turner will outline how to create and implement a data strategy. This includes:
• How data strategy and business strategy interrelate
• What a data strategy is (and is not) and what it should contain
• Building & delivering a data strategy – the key components and steps
• Managing and implementing a data strategy to ensure it continually aligns with changing business priorities and needs
The workshop will take you through a simple and proven four step process to develop a data strategy. It will also include practical exercises to help participants apply the approach before doing it for real back in their own organisations, as well as highlighting some real world case studies where the approach has been successful.
Explore the fundamentals of Large Language Models (LLMs) in this introductory workshop designed for data professionals and developers new to the AI field. This session provides hands-on experience in integrating LLMs into data platforms, focusing on basic natural language processing, generation, and simple predictive analytics tasks. Attendees will be guided through the basic setup, initial training, and simple deployment techniques of LLMs, utilizing straightforward tools and methods. The workshop also covers the basics of ethical AI, data management best practices, and simple strategies for effective AI implementation.
Key Learning Points:
• Core Applications: Discover how to implement LLMs to automate and enhance various business processes.
• Improving Efficiency: Get insights into making AI tools more effective and user-friendly in everyday tasks.
• Ethical Considerations: Understand the ethical implications and responsibilities of using AI technologies.
• Technical Introduction: Learn the basics of setting up, integrating, and managing LLMs without needing deep technical expertise.
In the busy business world, data people often struggle to get their message understood and carried forward. “Newbies” and “old-hands” alike can struggle to communicate effectively to trigger and sustain data-related change that doesn’t descend into technology failure.
This workshop will give delegates a crash course on “Telling your Data Story”. It’s not about naff practices in ‘data story telling’ and how to present data in interesting ways (nice pictures, pie charts are evil, etc.). This workshop is about how to talk ABOUT data in interesting ways that will get you engagement, understanding, and buy-in.
Topics that will be covered include:
• Understanding your audience (including the difference between internal presenting and public presenting)
• How to use effective tools for presenting and communicating, and how to use tools effectively (not always the same thing)
• Including: why PowerPoint isn’t entirely evil (but corporate branding standards usually are)
• Including: understanding narrative patterns in story for engagement
• Including: A planning tool based on the SECRET methods of an award winning novelist, screen writer, and reformed data modeller…
• Including: Delivering without Technology
• Understanding the importance of language and language barriers between countries, cultures, and stakeholders
• Why it is important to understand yourself and to understand others
• How to deal with objections, pushback, or hecklers.
• The importance of performance
Delegates will have the opportunity to put their learning to the test with a “lightning talk” on a topic at the end.
Morning Break - 11:00 - 11:15
Lunch - 12:45 - 13:45
Afternoon Break - 15:15 - 15:30
Data teams frequently operate in fast-moving environments, working cross-business with complex supporting processes. As such, they are often a challenge for effective management. This exciting workshop will explore the key aspects of building, managing and enhancing a data team and their operations, to help you more effectively manage your data. We will dive into various key aspects of data management including setting the mission of the team, defining the scope of the work, how to structure a team, effective people recruitment, what sort of data management methodologies can be used, effective process design, SLAs, internal controls, tooling use, quality reporting together with managing day-to-day activities.
Delegates will take away:
• A clear understanding of the key elements of data management
• Real-life examples of pitfalls plus learnings
• Practical tips and hints about how to improve their own teams
We have all been there. Deep in a data “project”, miserable failure in our future and recriminations all around us. Whatever we try, failure is going to be a foregone conclusion. As data people, we must get back up, start again from the beginning and hope we don’t make the same mistakes again.
BUT what if we don’t know what mistake we may have made? What if the error was made by someone outside of our control? What if there wasn’t an error, but just the normal organisational challenges? Maybe something outside of our organisation – a vendor or other party caused the failure.
This interactive session will concentrate on 4 or 5 of the usual big-ticket items we all fail at, being interactive with the attendees and providing tools and techniques to take away. Join Sue as she dives deep into some of the most well-known disasters, works with you all to determine what caused these failures and provide tools and techniques to chase away the spectre of another failure. Bring your own stories along to share with the group. Whether the story is simple or complex, there is always a way to turn the failure around and get that successful outcome you really wanted.
Immerse yourself in the world of Data Visualization during our engaging workshop, where theory meets practice. Participants will not only grasp the foundational principles of intuitive design but also apply them to a real-world case. Through hands-on exercises and interactive discussions, delegates will dissect actual charts, uncovering insights and crafting compelling visual narratives. Explore the pitfalls of comparing “apples to oranges” and master techniques to accurately represent data through critical thinking. Dive into visualizing trends and sidestep clutter with strategies to avoid chart junk. Participants will gain insights into which charts to avoid and how to leverage sketching for rapid ideation. Join us to elevate your data storytelling prowess and captivate your audience with amazing visualizations.
Key Learnings:
• Importance of intuitive design for comprehension
• Techniques to highlight meaningful patterns in data
• Strategies to avoid misleading comparisons and clutter in visualizations
• Insight into effective chart selection and leveraging sketching for ideation.
The rapid pace of development of Artificial Intelligence and related technologies holds potential promise for organisations looking to tap their data assets more effectively and efficiently. However, the adoption of new technologies may in fact herald the calling in of technical and data debt in organisations as the promised potential builds on the foundations of data capabilities already in the organisation.
In this master class, Daragh O Brien, co-author of “Data Ethics” and featured TDAN.com columnist, walks delegates through a structured approach to defining a roadmap for sustainable data improvement to support responsible AI implementation, developed from Castlebridge's own experience in R&D of AI solutions internally and with clients. The session will also look at where "AI" can assist in the ‘heavy lifting’ of data and technical debt and the critical role of data governance in ensuring appropriate standards are in place, complied with, and understood to ensure compliance with EU AI Act and Data Protection laws, and ensure quality outcomes for stakeholders.
If we believe that AI can improve decision-making in emergency response, shouldn’t we first understand how humans make decisions to begin with?
Since the time that the use of data in emergency response scenarios has become mainstream, it has been advertised as the tool to improve decision-making. It didn’t take long to realize that the growth of information available was causing problems by itself. Now AI is looked at as a solution to this information overflow problem.
The data is there to support emergency responders to gain situational awareness in turn to make better decisions, but what is situational awareness, how is it developed in the human brain, and what are the barriers to gaining good situational awareness? The neurological process of perceiving, understanding, and predicting what will happen in any given situation is what develops situational awareness. This process is supported by the mental models gained during training which help in gaining situational awareness.
There is a huge gap between the technological aspects of using AI, and the human factors that come into play when emergency responders need to operate in high-risk, high-consequence time-compressed environments.
This presentation will cover the challenges that lie ahead when we truly want to support emergency responders with AI to improve decision-making. Along the way, we will talk about a couple of elephants in the room.
Data Quality approaches tend to focus on technical aspects as a key success factor, with monitoring, dashboards, automation and 'shift left' mindset at the forefront of conversations. It's important to remember that Data Quality sits at the intersection between technical functionality, business processes and people, and requires an interdisciplinary approach to ensure successful outcomes.
This talk will focus on practical experiences of implementing technical solutions, supplemented by data literacy, change management and communication strategies. It will delve into relevant case studies, success stories and lessons learned to realise a sustainable approach.
Key Takeaways:
• Data culture is a key factor of successful data quality initiatives (shift right before shifting left)
• The importance of quantitative and qualitative data quality measurements
• Lesson learned from cultural and organisational change management to realise data quality improvements
• How to define unified success metrics (striving for 'good enough data' over 'perfect data')
AI is driving massive changes across industries and will eradicate many jobs. What about Business Intelligence (BI)? Which data skills will remain relevant in the new reality, and how will BI jobs be redesigned?
AI is excellent at answering questions, but so far, humans are the ones asking them. The central question of BI is whether the data meets the business need, which decomposes into:
• What is the business goal, and how can it be served?
• Is the data correct and relevant?
• Is the final product bringing the impact needed?
BI roles redesigned around this central question will continue to be successful and drive tangible business impact.
This session will explore the аctivities and skills needed and how to leverage them in an AI-driven future.
This session will convey how organisations can progress through the AI journey, from initial awareness of the possible, to identifying use cases, convert into hypotheses and rapidly prototype those. The speakers will showcase how their facilitated AI hackathons engage stakeholders to create hypotheses and evaluate solution feasibility with a fail-fast approach, to efficiently select viable candidates for production. The speakers will walk through a detailed case study of a recent defence hackathon that generated promising proof-of-concepts for how AI could enhance robot dogs to help protect lives in military operations.
Key Takeaways:
• Understanding of how to get started on the AI journey
• Best practices for collaboratively identifying business use cases
• Showcase how to transform use cases into AI hypotheses
• Techniques to rapidly evaluate AI hypotheses feasibility
To get meaningful and accurate analysis and reporting, good data governance is essential. Poor or missing governance means, at best, additional effort to clean and sort data on the fly but at worst it will result in failed projects or wrong conclusions.
Whilst this short session cannot provide all the answers, it will provide delegates with a 10-step data governance programme overview to help them assess their current governance status, start their governance journey or boost their current governance activities.
Amongst the topics covered will be:
• Mission
• Scope
• Strategy
• Stakeholders
• Framework
• Communication
• Delivery
Join me in looking at this most important data area and find out how you can get better outcomes in your work through better data governance.
Too many organisations have stalled in their delivery of generative AI and data mesh approach while, in parallel failing to demonstrate the return on investment of data management - it doesn't need to be so.
In this engaging and thought-provoking talk, Ben Clinch will take us through the practical steps, organisational change and frameworks that are well established and utilised in some industries, but broadly unknown across most.
By combining approaches in a value-driven manner, your organisation can design and implement a solid roadmap that delivers everything you need for AI and analytics to deliver against their promise.
Speakers:
AI demands attention, and it demands it now. As AI continues to grip the business world and open more doors than ever before, it is pivotal to have data on a pedestal within an AI strategy to drive decisions and inform stakeholders.
Drawing from their expert knowledge and experiences, David Reed will be joined by renowned senior data leaders from the 2024 DataIQ 100, the first and only fully-curated power list of the most influential data and analytics practitioners. Together, they will lead an engaging panel session designed to deliver actionable strategies, real-world examples, and thought-provoking discussions centered around AI adoption within enterprises.
Attendees will have the opportunity to:
• Gain a comprehensive understanding of the pivotal role of strategic leadership in driving AI initiatives and fostering innovation within organisations.
• Explore best practices for effectively scaling AI initiatives to ensure tangible business impact and optimising return on investment (ROI).
• Navigate the decision-making process between building AI solutions in-house and acquiring them externally.
Whether you're a seasoned AI leader or just embarking on your organisation’s AI journey, this session promises to equip you with the knowledge and insights needed to navigate the frontier of enterprise AI adoption successfully.
This session focuses on the impact and opportunity of generative AI in the world of data management.
Themes that I will be focusing on:
- Knowledge enabled AI through the foundation of knowledge graphs
- How metadata management can fuel compliance, discovery and the usage of data through natural language inputs
- Practical examples of how generative AI can be used to achieve the above
Key takeaways:
- How to get started and get teams and execs engaged with understanding and adopting generative Ai
- How AI is changing data management
- The role of knowledge graphs in applying enterprise context
Organisations are seeking ways to harness the game-changing potential of AI and ML to drive greater automation, boost operational efficiency, and enhance customer experiences. Data leaders are at the forefront of this transformation, yet find themselves stymied by siloed, fragmented data that’s next to impossible to activate across the enterprise, much less utilised in AI models.
Join this session as we discuss:
The importance of trusted, timely data needed for AI initiatives
Accelerating AI/ML by investing in an enterprise data strategy that delivers always-on, trusted data
Unified and connected data that powers real-time engagement and business decision-making
Join us for an engaging conversation with key leaders from Lloyd Webber Theatres and Xpedition as they delve into the innovative journey of delivering a data platform with Microsoft Azure. This insightful discussion will highlight how the collaboration has revolutionised audience insights, enhancing the overall theatre experience. Discover the challenges faced, the solutions implemented, and the transformative impact on audience engagement and satisfaction. Whether you’re a theatre enthusiast, a tech aficionado, or simply curious about the intersection of arts and technology, this session promises to be both informative and inspiring.
Embark on a futuristic transformative journey where cutting-edge AI technology takes centre stage at the data governance table. Discover how an innovative AI bot revolutionises the way organisations govern their data assets. From real-time monitoring to automated compliance checks. This captivating narrative explores the profound impact of AI on ensuring data integrity, security, and compliance. Join us as we delve into this enlightening future, showcasing how an AI Sentry reshapes the future of data governance with unparalleled efficiency and foresight. Prepare to be captivated by the possibilities as AI becomes the ultimate guardian at your table.
Takeaways
• Proactive Oversight: Visualise the power of real-time monitoring and automated compliance checks, enabling organisations to anticipate and address data governance challenges before they escalate.
• The Future: A glimpse into our interactions with a guardian bot for your organisation, empowering decision-makers with actionable insights to mitigate risks and optimise data governance strategies.
• Collaborative Efficiency: Witness opportunities for seamless collaboration facilitated by AI Sentry, fostering alignment among diverse teams and driving continuous improvement in data governance practices
In this session, Nailya will unveil the ground-breaking concept of Data-Driven Enterprise Architecture (DDA), designed to accelerate Digital, Data, and AI transformations. Drawing from over a decade of experience in technology-enabled transformations across various industries, Nailya will share invaluable insights how the DDA can empower large-scale organisations in achieving successful data-driven transformations, leveraging data as a strategic asset in the ever-evolving technological and business landscape.
Key Aspects Covered:
• Understanding the pivotal role of Enterprise Architecture in shaping the data-driven future.
• Exploring the transformative potential of the DDA framework and its core principles.
• Showcasing how Data Fabric and Data Mesh can complement each over efficiently.
• Case study analysis: Insights from a successful implementation at one of the global top five Pharma companies.
• Identifying key success factors for embarking on a data-driven transformation journey.
With over five million customers every month, people are at the heart of our hotel and restaurant business. Inevitably, as a result of unforeseen events things sometimes go wrong and we need to recover those crucial guest relationships. This talk explains how the Decision Science Team are using complaints data, GenAI, Natural Language Processing (NLP) and a Human in the Loop Large Language Model System to enable the Guest Relations Operations Team to do just that and achieve amazing productivity gains at the same time. We will share our lived experience of GenAI and its integration into our current business processes and explain how we are utilising the principles of psychology to guide us along the way.
Key Messages:
• Understanding humans – core knowledge that is driving the use of GenAI at Whitbread
• The case study – Insights into how a business problem led to a successful GenAI solution based on customer complaints data
• Lessons learnt – the DOs and DON’Ts after three years…
In the last 3 years Roberto and Michele have collaborated to create an ideal bridge between industry and academia in the field Data Excellence. Roberto's business experience and Michele's academic one provided the students of the Data Science course of the Naples University with an opportunity to understand why being proficient in data analysis by R and Python is not enough to make your future employer excellent in data. During this session you will hear about the journey, be told about what went well and what could have been improved, and finally presented the finding of a study conducted on the lasting change that the experience had on the students.
Data Mesh principles have brought data products to the forefront of data architecture discussions. However, due to the variety of applications and the vast technology landscape, it is hard to bring those principles into practice.
Data products also provide a new lens to think about data ownership, encapsulation, data sharing, AI integration, and even team structures across an organization.
In this presentation, we will bring insights based on our experience implementing data products and Data Mesh principles in different organizations, covering topics such as:
• What constitutes a data product and what are the different types of data products, especially how to build and integrate AI/ML products
• How data products support data architecture at different levels, from inside an application all the way up to an enterprise level
• Skills and team topologies to support data product thinking
• The data platform capabilities required to build an operating model based around data & AI product teams
Leveraging GenAI (Generalised AI) to transform businesses is becoming increasingly imperative in today's fast-paced digital landscape. As indicated by the 86% of global CxOs exploring GenAI's potential, it's clear that organisations are recognising its transformative power in meeting evolving customer needs and adapting to macroeconomic shifts. However, realising the full potential of GenAI requires more than just enthusiasm—it demands a robust data foundation.
In our session, "Accelerate Your GenAI Journey with the Right Data Foundation," we'll delve into the critical components necessary for this foundation. From ensuring data quality and establishing effective governance to seamless integration and architecting scalable systems, we'll provide a comprehensive roadmap for attendees to navigate. Through compelling real-world examples and insightful case studies, we'll demonstrate how organisations can leverage this strong data foundation to propel their AI initiatives from experimental proof-of-concepts to full-scale implementation.
Attendees can expect to walk away with actionable strategies for optimising their data management processes, aligning data strategies with AI objectives, and ultimately driving tangible business outcomes. By arming themselves with the knowledge and tools shared in this session, participants will be well-equipped to not only explore but also harness the transformative potential of GenAI for their organisations.
Join us for at the DAMA UK Awards, where we celebrate outstanding achievements and innovations in the field of data management. This prestigious event brings together data professionals, thought leaders, and organisations dedicated to advancing data management practices across various industries.
3 SECRETS TO MEANINGFUL WORK IN THE AGE OF AI
This keynote was designed to empower you to prepare for the age of AI and create an impact. In the next 3-5 years, your job will change and you'll need concrete keys to thrive in this period. Butzi is taking an experiential approach with visuals, interaction and a touch of magic to deliver a clear picture of where we’re at and what to do to make your job meaningful despite the changes.
Here is what you can expect:
• Learn to navigate change rapidly by developing a flexible mindset, preparing you for any situation.
• Become a 'Hybrid Worker' by integrating this magical technology with both your hard and soft skills and thrive in today’s world.
• Use AI to better contribute in the workplace and learn to combine your own creativity with AI’s amazing capacities to have more impact in your work.
Speakers:
At The Pensions Regulator we aim to protect, enhance and innovate in savers’ interests. The pensions ecosystem is changing. We’re leaping into a future where our data ecosystem stretches far and wide. We are embracing this interconnected data and AI technology to transform the very fabric of how pensions work. In this talk you’ll hear about:
- The market changes,
- The importance of data and AI
- How TPR is Transforming its data capabilities for the benefit of savers.
Join our insightful panel discussion on "Challenges and Opportunities in Data Fabric and Data Mesh," where industry experts will explore the evolving landscape of data architecture. This session will delve into the complexities of implementing data fabric and data mesh, highlighting common hurdles such as integration, scalability, and governance. Our panellists will also discuss the transformative potential these approaches offer in enabling more flexible, efficient, and decentralised data management. Attendees will gain valuable insights into best practices, innovative solutions, and real-world applications that can drive data strategy success. Whether you're a data professional or a business leader, this discussion will provide practical knowledge and forward-looking perspectives essential for navigating today's data-driven world.
In this session, experts emphasised the importance of engaging end-users to ensure analytics tools are effectively utilised, highlighting that mere creation does not guarantee adoption. The discussion underscored the need for agility within teams to adapt quickly without compromising on delivery quality. Translating strategic goals into actionable initiatives requires a broad vision and strategic alignment. Innovative operational models were recommended over traditional hierarchical structures to foster flexibility and collaboration. Optimising delivery involves strategic resourcing and fostering a continuous learning culture. Personal development and support for team members are crucial for motivation and retention. Lastly, a robust challenge function ensures the integrity and quality of analytics outputs through critical review and feedback.
This talk explores the integration of AI within coaching, a field traditionally dominated by human experts. With AI technologies evolving rapidly, AI coaches are emerging as powerful tools in executive training. This talk will examine the technological advancements that enable AI to provide personalized coaching, analyze case studies, and discuss the effectiveness and ethical implications of AI coaches. Delegates will gain insights into how AI is transforming the coaching landscape and what the future might hold for this technology in professional development.
Key Takeaways:
• Understand the current capabilities and technological advancements of AI coaches.
• Explore case studies demonstrating the effectiveness of AI coaching.
• Examine the ethical considerations and challenges associated with AI in coaching.
• Discuss the potential long-term impacts of AI coaches on the professional coaching industry.
• Gain insight into future trends and developments in AI coaching technologies.
A talk about the operationalising and embedding of our linked business glossary and its governance framework across the organisation. Touching on how it is driving improvements in data governance, and data literacy.
Key Takeaways:
• Overview of what a business glossary is and how it differs from data dictionary and data catalogue; implementation challenges and lessons learned.
• Importance of linking semantics across business and data.
• Rationale behind the adopted standards.
• The service and governance model including, why we chose a hybrid federated model rather than a central governance model.
• Use case examples focusing on: security, learning and faster on-boarding of staff, improving collaboration.
In this session we’ll look at how a number of different elements of People Analytics can come together to create the insight and action required to improve the experience staff have in the workplace. The toolkit will include predictive analytics, surveys, evaluation of effectiveness via dashboards; and the all important element of communicating insight effectively in a way that inspires action.
In this session we will describe how we have implemented an internal data ownership model across PwC UK and how that has accelerated our data strategy. We will then case-study one of our top strategic data priorities, better managing and curating unstructured data to support Gen AI use-cases. Here we will describe the journey we are on, some of the key challenges we face, and what tooling and approaches we have had most success with.
You will learn:
• The successes and lessons learnt of establishing data ownership in a large organisation.
• The value of data ownership to accelerating a data strategy.
• How we are getting unstructured data ready for Gen AI.
As AI moves towards taking or being involved in 50% of business decisions, the challenge becomes how we build an architecture and business culture that enables these new digital employees to be managed as part of existing teams in a way that allows them to take on responsibilities while ensuring the business retains control and accountability. This shift requires us to think as much about organisational change as technical change and means a digitisation of the business at a level we have never seen before.
Companies that can manage their digital employees will far outperform those that don't, because those that don't will not be in control of their business.
At DAMA UK our mission is to nurture a community of data professionals who champion the value of data management. Free mentoring is available to all members of DAMA UK. Find out how mentoring can support and benefit you in your career development as a data management professional, both as a mentor and a mentee, and how to sign up!
Data infrastructure charity DataKind UK has more than a decade of experience bridging the gap between cutting-edge data analytics and social causes whose impact can be fuelled by effective, responsible data use, providing a series of free resources, support, and programmes led by skilled volunteers. In 2016, the UK government launched the world’s first ‘beneficial ownership’ register, requiring all UK companies to register who controlled them. This inspired a partnership between DataKind UK and international NGO Global Witness, with the goal of identifying and exposing corrupt corporate networks.
Expert data analytics volunteers take you through the technical approaches and processes that led to them building the world’s first network graph mapping UK public data on corporate control. They also talk through the resulting insights, the necessity of good data collection, and the impact of the project, which ultimately led to changes in UK law.
Key learnings
1. The challenges and power of using open data
2. The difference between recording data and capturing useful data
3. An introduction to the potential of knowledge graphs and graph analytics
4. The ability to impact change with powerful data messaging
5. What can be achieved with volunteers
Step into an engaging and insightful conversation with Suzanne Williams, one of the world's leading hostage negotiators, as she shares her experiences and the invaluable lessons learned from the high-stakes world of crisis negotiation. Joined by Sue Geuens, Director of Data Governance & Data Product at Elsevier, this fireside chat will explore the intersection of negotiation tactics and data management.
In this panel, experts discussed strategies for hiring and retaining talented analysts, emphasising the competitive nature of the field. The importance of data storytelling and fostering information literacy within organisations was highlighted as critical for making data insights accessible and actionable. The panel explored the balance between upskilling the workforce and training analysts to become business leaders, stressing the need for a tailored approach. Technological advancements, including AI, cloud computing, and data mesh/fabric, were examined for their transformative impact on analytics. Finally, the panelists shared their visions of the analytics landscape in the next 5-10 years, predicting increased integration, sophistication, and the continued evolution of tools and methodologies shaping the future of data analytics.
As AI continues to evolve and become embedded in organisations, governance plays an increasingly critical role. In this session, I will discuss practical examples and learnings based on our successful AI Governance programmes.
Key Takeaways:
• Key Pillars of AI Governance Strategy: Establishing and implementing a framework to ensure AI systems are safe, transparent, fair and reliable.
• Role of the Senior Leadership: Setting AI priorities aligned to organisational values, managing AI risks and opportunities.
• Impact of Regulation on Enterprise AI: Balancing data protection with AI innovation, roles of government and business, navigating compliance, transparency, and risk management
• Ideation to Deployment: Validating AI ideas in real-world scenarios, deployment challenges and best practices
• Creating Ethical AI Change: Prioritising ethical practices and learning from mistakes
Join us for a thought-provoking panel discussion as we reflect on the past 21 years of data management. Our distinguished panel of experts will delve into the lessons learned, the challenges faced, and the areas where the industry still has room for improvement. This session offers a comprehensive look at the evolution of data management from the perspectives of leaders who have been at the forefront of the field.
Highlights:
- Historical Perspective: Explore the major milestones and shifts in data management practices over the past two decades.
- Successes and Setbacks: Gain insights into the strategies that have worked, as well as the common pitfalls and misconceptions that have persisted.
- Future Outlook: Discuss the emerging trends and technologies that are shaping the future of data management.
- Interactive Dialogue: Engage with the panelists during an open Q&A session, where you can ask questions and share your own experiences.
Speakers:
Suzanne CoumbarosData Governance DirectorSodexo- Lisa AllenDirector & Chair of DAMA UK & Director of DataThe Pensions Regulator
- Sue GeuensDirector, Data Governance & Data ProductElsevier
- Mary DrabbleHead of Data GovernanceRoyal London
- Nigel TurnerPrincipal Information Management Consultant EMEAGlobal Data Strategy
The gap between rapid business movement and slow data governance implementation, plus the failure of traditional strategies, highlights the need for a more flexible and pragmatic approach. Discover how the Data Governance Strategy Sprint and Design Sprint provides you with a structured and efficient way to align teams, identify challenges, and create action-oriented plans to drive effective data governance within an organization. It compresses potential months of work into a few days!
This comprehensive seminar is designed to equip you with practical tools and techniques to facilitate your very own DG Strategy Sprint and DG Design Sprint, transforming unproductive meetings into result-oriented workshops that establish clear action plans and real, tangible results. This tutorial is a game-changer for those struggling to implement data governance and data management programs effectively.
Within this tutorial, attendees will learn:
• Why workshops are better than meetings
• The anatomy of a perfect data governance workshop
• The step-by-step process and key exercises of the Data Governance Strategy Sprint and Design Sprint
• The 6 laws of Master-level facilitation
• The art of designing data governance workshops
• How to handle challenging people and put change management into practice
• Some pitfalls and best practices from real-life cases
Let’s sprint towards a future where your data doesn’t just exist; it excels.
Most organisations have a strategy stating business goals over a longer time frame than an annual plan – anything from 3 to 40 years. It sets vision and direction, and there may be functional strategies. People, process, technology and, in enlightened organisations, data are seen to be key assets, you could say the DNA. Each of these warrant their own strategy but what should be in a data strategy, and how should it be deployed? The publication of data strategies seems to be increasing, yet the quality, breadth and ease to execute vary dramatically. This workshop will explore the key components of a data strategy, how topics interlink and, importantly, its deployment – from the framework through to the execution. This workshop will be interactive, please bring examples and be prepared to discuss during the workshop. The goal is to enable you to develop a data strategy that works for your organisation. Key points: • Understand the purpose of a data strategy • Agree the framework of a data strategy that works for you • Determine how to execute the strategy, making it accessible and useful for all.
To be able to engage in this workshop, you will need access to the case study material on the day by using the links below however, there will be printed documentation available in the session.
Our Data Strategy - Office for National Statistics (ons.gov.uk)
Data saves lives: reshaping health and social care with data - GOV.UK (www.gov.uk)
Data Strategy (surreycc.gov.uk)
https://www.health-ni.gov.uk/sites/default/files/publications/health/doh-hscni-data-strategy.pdf
Unlock the potential of Large Language Models (LLMs) in this dynamic workshop aimed at developers and data scientists interested in advancing their AI capabilities. Participants will engage in hands-on activities to build and integrate LLMs into their Data & AI platforms, focusing on enhancing natural language understanding, generation, and predictive analytics. This session will guide attendees through the setup, training, and deployment stages of LLMs, using cutting-edge techniques and tools. Attendees will explore ethical considerations, efficient data management and practices essentials for sustainable AI.
Key Learning Points:
• Practical Application: Build a functional AI model using LLMs tailored to specific business needs.
• Technical Skills: Learn to fine-tune LLMs effectively within your data infrastructure.
• Ethical AI Use: Address ethical challenges in AI.
• Performance Optimisation: Optimise AI models for better accuracy and efficiency.
• Scalability Strategies: Strategies for scaling LLM implementations for enterprise applications.
Morning Break - 11:00 - 11:15
Lunch - 12:45 - 13:45
Afternoon Break - 15:15 - 15:30
