CALL FOR SPEAKERS | DEADLINE  FRIDAY 17 April 2026, MIDNIGHT

Please read the below before you submit your paper

We are excited to invite visionary thought leaders, seasoned experts, and industry trailblazers to join us as speakers at the Data & AI Conference Europe. This prestigious event takes place from the 3 – 4 November 2026 in central London.

Speaker Benefits Include:

• Establish your profile in the Data, AI, & Analytics Community
• Attend the 2-day conference without charge
• Registration discounts for your colleagues
• Network with peers and build excellent professional relationships
• Share thoughts and experiences with a qualified and motivated audience
• Discover the rewards of sharing your expertise and informing others
• Create new business opportunities for yourself and your organisation

We’re seeking a diverse array of session styles, from engaging interactive workshops to informative standard conference sessions. Our goal is to ensure a well-rounded balance across all tracks, encompassing various styles, topics, experiences, and compelling case study examples.

• Workshops will run on the 2, 5 & 6 November and should last for three hours or six hours;
• Conference presentation sessions take place on 3 & 4 November and should last 20 minutes or 40 minutes;
• We encourage all presentation skill levels (foundation, intermediate, advanced).

What We’re Looking For:

Experience has shown us that delegates have expressed a preference for how-to topics and case studies rather than theoretical or abstract topics.

We would particularly like practitioners with interesting experiences to share including success stories, lessons learned, challenges that have been overcome, and pitfalls to avoid.

Delegates also like to hear from industry experts who can provide fresh insights, current trends, management advice, and discussions of future directions.

Please submit a description of the talk you would like to present.

We need a title that reflects the content of the presentation, a description in a paragraph or two, and 3-5 bullet points setting out the key takeaways. Tell us something about yourself, your role, and the enterprise you represent. If you have previous experience as a conference speaker, provide a summary of this experience. If you don’t have previous experience speaking at conferences, then please make this clear. We’re happy either way and just need to know.

We’ll be choosing conference sessions and workshops that concern the below examples of themes and topics.

If you can offer a presentation on a topic or theme we haven’t covered, and you feel the conference would benefit from this presentation, please submit it for consideration.

Data & AI Conference — Call for Speakers Topics

If you can offer a presentation on a topic or theme not explicitly listed below, and you believe it would add clear value for a senior, practitioner‑led audience, we welcome your submission for consideration.

We are particularly interested in real‑world experience, lessons learned and practical approaches, rather than product demonstrations or sales‑led presentations.

1. Strategy, Leadership & Operating Models

• The CDO role and modern data & AI leadership
• Data and AI strategy: from ambition to execution
• Managing data and AI as strategic organisational assets
• Data culture, organisational change and skills
• Risk, governance and decision‑making at scale
• Enterprise adoption of AI beyond pilots and proofs of concept

2. Governance, Trust, Risk & Ethics

• Data governance in practice
• AI governance, risk and compliance
• Ethical AI and responsible AI
• Data privacy, GDPR and regulatory compliance
• Data security, trust and resilience
• Implementing and using DAMA‑DMBOK
• Ethics in data and AI‑driven decision‑making

3. Data & AI Architecture and Platforms

• Modern data architecture (cloud, hybrid and on‑prem)
• AI architecture and platforms
• Logical Data Warehousing
• Data fabric and data mesh
• Cloud data platforms and lakehouse architectures
• Managing cloud‑based data and AI services
• Edge computing and edge AI applications

4. Data Engineering, Integration & Movement

• Data engineering at scale
• Data integration patterns and approaches
• Data movement and migration in the cloud
• Managing unstructured data
• Internet of Things (IoT) data pipelines
• AI‑enabled data pipelines and automation

5. Metadata, Semantics & Knowledge

• Metadata management
• Data catalogues and data discovery
• Data lineage and impact analysis
• Data semantics and business glossaries
• Knowledge graphs and semantic technologies
• Search‑driven analytics and discovery

6. Analytics, BI & Decision Intelligence

• Business analytics and advanced analytics
• BI and analytics storytelling
• Collaborative BI and agile BI
• Self‑service analytics and data preparation
• Augmented analytics
• Predictive analytics and forecasting
• Sentiment analysis and opinion mining
• Data visualisation for insight and action

7. Data Quality, Master & Reference Data

• Data quality management and measurement
• Master Data Management (MDM)
• Reference data management
• Improving trust in analytical and operational data

8. Data Literacy, Enablement & the Workforce

• Data literacy programmes that work
• Enabling self‑service data for business users
• Data preparation for the business
• The augmented workforce and human–AI collaboration
• Bridging the gap between technical and business teams

9. Data Science, AI & Machine Learning

• Data science in production environments
• AI and machine learning foundations
• Deep learning and neural networks
• Natural Language Processing (NLP) applications
• From experimentation to operational AI
• Measuring business value and ROI from AI

10. Generative AI & Agentic AI

• Generative AI (GenAI) in the enterprise
• Agentic AI and autonomous decision‑making
• Large Language Models (LLMs) and organisational use cases
• Practical lessons from deploying tools such as ChatGPT
• Controls, governance and risk for GenAI

11. Industry, Functional & Applied Use Cases

• AI‑driven marketing and customer engagement
• AI‑driven personalisation
• AI in finance and banking
• AI in healthcare and life sciences
• AI in retail and e‑commerce
• Cybersecurity and AI‑powered threat detection
• AI for social good and sustainable development
• AI in sustainability initiatives

12. Emerging Trends & Future Directions

• Technology trends and advancements in data and AI
• Emerging patterns in enterprise data and AI adoption
• What’s next for data and AI beyond the hype cycle

Speaker Guidelines

Please read these guidelines carefully before you make your submission, and ensure it reaches us by Friday 17 April 2026, Midnight.

Proposals should be focused, adheres to the conference guidelines, and offers something engaging and useful.

We are looking for:

• 20 minute or 40 minute conference sessions
• 3 or 6 hour workshops
• Ideas for roundtables/panels and networking sessions

Please submit your abstract directly on our website using the submission link below. You may submit more than one abstract.

Your abstract should be kept to the 150-word limit, clearly outlining your content and include 3-5 bullet points at the end to summarise your key messages as to what delegates will learn. Copy must be written in 3rd person. Bear in mind that your abstract needs to be sufficiently polished for inclusion on the website and in the conference brochure and must achieve the following objectives:

• Provide enough information for us to evaluate your submission relative to others. To aid the evaluation you can include additional relevant information in the ‘additional notes’ section of the submission form.
• Be attractive to conference attendees and help them select the sessions most valuable to them, given their interests and level of maturity in the subject matter. Based on previous conference feedback and program assessments, here are some tips to help you maximize your chances of being selected.

DO:

• Be specific and concrete about what you will be presenting and how the audience will benefit from it. Use the bullet points to highlight the key ‘takeaways’.
• Demonstrate real-world achievements, showing examples of content if possible, and describing outcomes from applying it.
• Push the envelope. Aim to stretch the audience with fresh insights and the benefit of your own experience.
• Ensure that your presentation is relevant to this conference. If your talk majors on a specialised topic, you should position it clearly in the overall conference theme.

AVOID:

• ‘Pitching’ specific products.
• Exceeding the word count limit.
• Trying to cover too much ground in the time available.
• Putting forward unsubstantiated theories or opinions.
• Using vague abstractions and jargon.

If you have presented recently at another conference on a similar subject matter, we suggest that you use the ‘additional notes’ of the submission form to indicate how this presentation is different from what you have presented before.

If you are not sure whether your idea is suitable or not, please feel free to contact us to discuss it before making your submission.

Please direct any questions about submissions to Shane McGlynn – shane@irmuk.co.uk