Blog Post

IAPP Data Protection Intensive UK 2025: Relyance AI Recap

Explore key insights from IAPP DPI UK 2025 on AI governance and data lineage—shaping the future of privacy, compliance, and security.

March 20, 2025

What’s a Rich Text element?

The rich text element allows you to create and format headings, paragraphs, blockquotes, images, and video all in one place instead of having to add and format them individually. Just double-click and easily create content.

Title

Static and dynamic content editing

headig 5

heading 3

Heading 2

heading 1

  • 1 item
  • 2items

A rich text element can be used with static or dynamic content. For static content, just drop it into any page and begin editing. For dynamic content, add a rich text field to any collection and then connect a rich text element to that field in the settings panel. Voila!

How to customize formatting for each rich text

Headings, paragraphs, blockquotes, figures, images, and figure captions can all be styled after a class is added to the rich text element using the "When inside of" nested selector system.

Table of CoNtents

I’m back from an incredible few days at IAPP Data Protection Intensive UK 2025 in London, and I couldn’t be more energized by the conversations, insights, and connections made throughout the event. With 1,000+ attendees and 100+ expert speakers, this year’s conference was packed with thought-provoking discussions on AI governance, data lineage, and the evolving privacy landscape.

Key Themes from Privacy Leaders

Here are the 3 key themes that emerge from my conversations with Privacy leaders:

  • The Privacy community is hungry for fresh perspectives and innovative approaches to solving common issues. The status quo is no longer sufficient and Excel spreadsheets, manual processes or first generation tools for Data Mapping, ROPAs and Third Party Risk Management just won’t do anymore. People want to move away from low value-add repetitive tasks, and onto higher priority, value driving initiatives.

  • Privacy, security, and governance teams feel the need to shift from simple gatekeepers to catalysts for innovation. A compliance focused, regulation only, top-down approach is insufficient, particularly when in the AI space, regulation is seen as a barrier to innovation. A technology first, bottom-up approach is becoming increasingly preferable, not least because of scalability concerns, and the need to do more with less.

  • AI is on everyone’s mind. The AI revolution isn't a distant horizon; it's here, now. Every organization is grappling with its implications. Early implementations are starting to produce valuable lessons, if not yet valuable results. A key theme is that in a world where everyone has access to the same handful of models (be they Co-pilot, ChatGPT or Gemini) high-quality, unique data is the real competitive advantage.

The Evolving Landscape of AI Governance

I also attended a few keynote sessions as well as panel conversation. This is a selection of some of the points that stuck with me:

  • The global landscape of AI governance remains dynamic, with different jurisdictions adopting varied approaches to balance innovation and regulation. 
  • Most people agree there is a clear trend towards deregulation in the US, while in Europe the situation is more nuanced, with some indications of potential regulatory reassessment. 
  • The UK is attempting to carve out a "third way" in AI governance, positioning itself between the EU's risk-averse approach and the US's more accelerationist philosophy. It is important to note that these changes are recent and their full impact is yet to be seen. 

However, for multinational companies operating across jurisdictions, all this just means more complexity to stay on top of

Emerging Trends in AI, Privacy, and Automation

There are encouraging signs that more DPOs are starting to have their own budget, separate from the broader legal team's. Still, nobody is under any illusions that this budget will become generous any time soon. Privacy teams continue to be lean. True automation of the various operational tasks, and consolidating siloed solutions into “single pane of glass” platforms is emerging as a driving trend.

I particularly enjoyed Susie Alegre’s talk, as part of the closing general session, in which she explored the impact AI may have on our fundamental human rights, and the ethical dilemmas of emerging technologies. Ms. Alegre offered a reminder to the Data Privacy and Protection Professionals in the room that AI is not magic, it doesn’t really live “in the cloud”, it is not above the law and that “it’s all in the data”.

I couldn’t have put it better.

Want to learn more about how Data Journeys can get your cross-functional team on the same page and turn AI risk into AI trust? Reach out to us and see how our platform can help you safely and responsibly accelerate AI adoption for your company.

What’s a Rich Text element?

The rich text element allows you to create and format headings, paragraphs, blockquotes, images, and video all in one place instead of having to add and format them individually. Just double-click and easily create content.

Title

Static and dynamic content editing

A rich text element can be used with static or dynamic content. For static content, just drop it into any page and begin editing. For dynamic content, add a rich text field to any collection and then connect a rich text element to that field in the settings panel. Voila!

How to customize formatting for each rich text

Headings, paragraphs, blockquotes, figures, images, and figure captions can all be styled after a class is added to the rich text element using the "When inside of" nested selector system.

CORE PLATFORM

Visibility and control for all enterprise-wide data processing

Build a foundation of trust based on an accurate, complete, and always live data inventory and data map that is continuously in sync with your regulatory and contractual commitments.

Book a demo
Blog Post

IAPP Data Protection Intensive UK 2025: Relyance AI Recap

Explore key insights from IAPP DPI UK 2025 on AI governance and data lineage—shaping the future of privacy, compliance, and security.

March 20, 2025

I’m back from an incredible few days at IAPP Data Protection Intensive UK 2025 in London, and I couldn’t be more energized by the conversations, insights, and connections made throughout the event. With 1,000+ attendees and 100+ expert speakers, this year’s conference was packed with thought-provoking discussions on AI governance, data lineage, and the evolving privacy landscape.

Key Themes from Privacy Leaders

Here are the 3 key themes that emerge from my conversations with Privacy leaders:

  • The Privacy community is hungry for fresh perspectives and innovative approaches to solving common issues. The status quo is no longer sufficient and Excel spreadsheets, manual processes or first generation tools for Data Mapping, ROPAs and Third Party Risk Management just won’t do anymore. People want to move away from low value-add repetitive tasks, and onto higher priority, value driving initiatives.

  • Privacy, security, and governance teams feel the need to shift from simple gatekeepers to catalysts for innovation. A compliance focused, regulation only, top-down approach is insufficient, particularly when in the AI space, regulation is seen as a barrier to innovation. A technology first, bottom-up approach is becoming increasingly preferable, not least because of scalability concerns, and the need to do more with less.

  • AI is on everyone’s mind. The AI revolution isn't a distant horizon; it's here, now. Every organization is grappling with its implications. Early implementations are starting to produce valuable lessons, if not yet valuable results. A key theme is that in a world where everyone has access to the same handful of models (be they Co-pilot, ChatGPT or Gemini) high-quality, unique data is the real competitive advantage.

The Evolving Landscape of AI Governance

I also attended a few keynote sessions as well as panel conversation. This is a selection of some of the points that stuck with me:

  • The global landscape of AI governance remains dynamic, with different jurisdictions adopting varied approaches to balance innovation and regulation. 
  • Most people agree there is a clear trend towards deregulation in the US, while in Europe the situation is more nuanced, with some indications of potential regulatory reassessment. 
  • The UK is attempting to carve out a "third way" in AI governance, positioning itself between the EU's risk-averse approach and the US's more accelerationist philosophy. It is important to note that these changes are recent and their full impact is yet to be seen. 

However, for multinational companies operating across jurisdictions, all this just means more complexity to stay on top of

Emerging Trends in AI, Privacy, and Automation

There are encouraging signs that more DPOs are starting to have their own budget, separate from the broader legal team's. Still, nobody is under any illusions that this budget will become generous any time soon. Privacy teams continue to be lean. True automation of the various operational tasks, and consolidating siloed solutions into “single pane of glass” platforms is emerging as a driving trend.

I particularly enjoyed Susie Alegre’s talk, as part of the closing general session, in which she explored the impact AI may have on our fundamental human rights, and the ethical dilemmas of emerging technologies. Ms. Alegre offered a reminder to the Data Privacy and Protection Professionals in the room that AI is not magic, it doesn’t really live “in the cloud”, it is not above the law and that “it’s all in the data”.

I couldn’t have put it better.

Want to learn more about how Data Journeys can get your cross-functional team on the same page and turn AI risk into AI trust? Reach out to us and see how our platform can help you safely and responsibly accelerate AI adoption for your company.

What’s a Rich Text element?

The rich text element allows you to create and format headings, paragraphs, blockquotes, images, and video all in one place instead of having to add and format them individually. Just double-click and easily create content.

Title

Static and dynamic content editing

A rich text element can be used with static or dynamic content. For static content, just drop it into any page and begin editing. For dynamic content, add a rich text field to any collection and then connect a rich text element to that field in the settings panel. Voila!

How to customize formatting for each rich text

Headings, paragraphs, blockquotes, figures, images, and figure captions can all be styled after a class is added to the rich text element using the "When inside of" nested selector system.

IAPP Data Protection Intensive UK 2025: Relyance AI Recap

I’m back from an incredible few days at IAPP Data Protection Intensive UK 2025 in London, and I couldn’t be more energized by the conversations, insights, and connections made throughout the event. With 1,000+ attendees and 100+ expert speakers, this year’s conference was packed with thought-provoking discussions on AI governance, data lineage, and the evolving privacy landscape.

Key Themes from Privacy Leaders

Here are the 3 key themes that emerge from my conversations with Privacy leaders:

  • The Privacy community is hungry for fresh perspectives and innovative approaches to solving common issues. The status quo is no longer sufficient and Excel spreadsheets, manual processes or first generation tools for Data Mapping, ROPAs and Third Party Risk Management just won’t do anymore. People want to move away from low value-add repetitive tasks, and onto higher priority, value driving initiatives.

  • Privacy, security, and governance teams feel the need to shift from simple gatekeepers to catalysts for innovation. A compliance focused, regulation only, top-down approach is insufficient, particularly when in the AI space, regulation is seen as a barrier to innovation. A technology first, bottom-up approach is becoming increasingly preferable, not least because of scalability concerns, and the need to do more with less.

  • AI is on everyone’s mind. The AI revolution isn't a distant horizon; it's here, now. Every organization is grappling with its implications. Early implementations are starting to produce valuable lessons, if not yet valuable results. A key theme is that in a world where everyone has access to the same handful of models (be they Co-pilot, ChatGPT or Gemini) high-quality, unique data is the real competitive advantage.

The Evolving Landscape of AI Governance

I also attended a few keynote sessions as well as panel conversation. This is a selection of some of the points that stuck with me:

  • The global landscape of AI governance remains dynamic, with different jurisdictions adopting varied approaches to balance innovation and regulation. 
  • Most people agree there is a clear trend towards deregulation in the US, while in Europe the situation is more nuanced, with some indications of potential regulatory reassessment. 
  • The UK is attempting to carve out a "third way" in AI governance, positioning itself between the EU's risk-averse approach and the US's more accelerationist philosophy. It is important to note that these changes are recent and their full impact is yet to be seen. 

However, for multinational companies operating across jurisdictions, all this just means more complexity to stay on top of

Emerging Trends in AI, Privacy, and Automation

There are encouraging signs that more DPOs are starting to have their own budget, separate from the broader legal team's. Still, nobody is under any illusions that this budget will become generous any time soon. Privacy teams continue to be lean. True automation of the various operational tasks, and consolidating siloed solutions into “single pane of glass” platforms is emerging as a driving trend.

I particularly enjoyed Susie Alegre’s talk, as part of the closing general session, in which she explored the impact AI may have on our fundamental human rights, and the ethical dilemmas of emerging technologies. Ms. Alegre offered a reminder to the Data Privacy and Protection Professionals in the room that AI is not magic, it doesn’t really live “in the cloud”, it is not above the law and that “it’s all in the data”.

I couldn’t have put it better.

Want to learn more about how Data Journeys can get your cross-functional team on the same page and turn AI risk into AI trust? Reach out to us and see how our platform can help you safely and responsibly accelerate AI adoption for your company.

Blog Post

IAPP Data Protection Intensive UK 2025: Relyance AI Recap

Explore key insights from IAPP DPI UK 2025 on AI governance and data lineage—shaping the future of privacy, compliance, and security.

Aug 17, 2022

Get the whitepaper

Required field*

IAPP Data Protection Intensive UK 2025: Relyance AI Recap

I’m back from an incredible few days at IAPP Data Protection Intensive UK 2025 in London, and I couldn’t be more energized by the conversations, insights, and connections made throughout the event. With 1,000+ attendees and 100+ expert speakers, this year’s conference was packed with thought-provoking discussions on AI governance, data lineage, and the evolving privacy landscape.

Key Themes from Privacy Leaders

Here are the 3 key themes that emerge from my conversations with Privacy leaders:

  • The Privacy community is hungry for fresh perspectives and innovative approaches to solving common issues. The status quo is no longer sufficient and Excel spreadsheets, manual processes or first generation tools for Data Mapping, ROPAs and Third Party Risk Management just won’t do anymore. People want to move away from low value-add repetitive tasks, and onto higher priority, value driving initiatives.

  • Privacy, security, and governance teams feel the need to shift from simple gatekeepers to catalysts for innovation. A compliance focused, regulation only, top-down approach is insufficient, particularly when in the AI space, regulation is seen as a barrier to innovation. A technology first, bottom-up approach is becoming increasingly preferable, not least because of scalability concerns, and the need to do more with less.

  • AI is on everyone’s mind. The AI revolution isn't a distant horizon; it's here, now. Every organization is grappling with its implications. Early implementations are starting to produce valuable lessons, if not yet valuable results. A key theme is that in a world where everyone has access to the same handful of models (be they Co-pilot, ChatGPT or Gemini) high-quality, unique data is the real competitive advantage.

The Evolving Landscape of AI Governance

I also attended a few keynote sessions as well as panel conversation. This is a selection of some of the points that stuck with me:

  • The global landscape of AI governance remains dynamic, with different jurisdictions adopting varied approaches to balance innovation and regulation. 
  • Most people agree there is a clear trend towards deregulation in the US, while in Europe the situation is more nuanced, with some indications of potential regulatory reassessment. 
  • The UK is attempting to carve out a "third way" in AI governance, positioning itself between the EU's risk-averse approach and the US's more accelerationist philosophy. It is important to note that these changes are recent and their full impact is yet to be seen. 

However, for multinational companies operating across jurisdictions, all this just means more complexity to stay on top of

Emerging Trends in AI, Privacy, and Automation

There are encouraging signs that more DPOs are starting to have their own budget, separate from the broader legal team's. Still, nobody is under any illusions that this budget will become generous any time soon. Privacy teams continue to be lean. True automation of the various operational tasks, and consolidating siloed solutions into “single pane of glass” platforms is emerging as a driving trend.

I particularly enjoyed Susie Alegre’s talk, as part of the closing general session, in which she explored the impact AI may have on our fundamental human rights, and the ethical dilemmas of emerging technologies. Ms. Alegre offered a reminder to the Data Privacy and Protection Professionals in the room that AI is not magic, it doesn’t really live “in the cloud”, it is not above the law and that “it’s all in the data”.

I couldn’t have put it better.

Want to learn more about how Data Journeys can get your cross-functional team on the same page and turn AI risk into AI trust? Reach out to us and see how our platform can help you safely and responsibly accelerate AI adoption for your company.

Blog Post

IAPP Data Protection Intensive UK 2025: Relyance AI Recap

Explore key insights from IAPP DPI UK 2025 on AI governance and data lineage—shaping the future of privacy, compliance, and security.

Aug 17, 2022

Watch the video

Required field*

Get started fast

Book a demo

Fastest time to value in the industry

Get unparalleled visibiliy in hours

Book a demo with our trust advisors to learn more