David Green

‘The cultural shift across Blenheim’s workforce has been the most significant achievement.’

Part of the AI Leadership Index – a curated list of the most inspirational figures shaping the AI revolution.

David Green brings a unique perspective to AI leadership in the heritage sector, combining 25 years of hands-on experience with technically grounded expertise developed through continuous innovation and delivery. Beginning his career in heritage at age 18 at Blenheim Palace, he has evolved into a pioneering data and technology leader, demonstrating that innovation can emerge from unexpected backgrounds.

Throughout his career across multiple heritage sites, David has championed data-driven decision-making and intelligent automation, streamlining operations while maintaining the careful stewardship these historic environments require. His leadership philosophy centres on a simple belief: that new technologies should deepen our understanding of the past as much as they shape the future.

Under his direction, AI and automation initiatives have transformed how Blenheim Palace operates, helping the organisation protect and share this UNESCO World Heritage Site more effectively with future generations. His approach balances cutting-edge technology with heritage conservation, showing that AI can enhance rather than replace the human expertise needed to care for irreplaceable historic buildings and landscapes.

David’s journey illustrates the potential of combining passion, practical experience, and self-directed learning to drive meaningful technological change.

Please share a case study of how you have you innovated with AI over the last year?

For more than a decade, digital data at Blenheim Palace has grown rapidly, spanning retail and catering transactions, financial systems, event bookings, annual passes, and more recently sensor networks and WiFi tracking. Whilst valuable, the challenge was bringing these disparate sources together to support better decision-making. When David launched the first real-time reporting platform in 2014, it was a major step forward but remained largely backward-looking and hampered by inconsistent measurements. Even simple metrics like weather lacked standardisation.

Five years ago, we recognised the next phase required deeper integration and the emerging capabilities of AI and machine learning. SmartVMS was developed to address this challenge, integrating previously siloed transactional, operational, environmental, and behavioural data into a single intelligent platform. AI models now predict visitor flows by analysing relationships between marketing campaigns, weather patterns, seasonal trends, and operational decisions.

The system also uses sentiment analysis to process visitor feedback across multiple touchpoints, revealing how experiences connect to operational choices and marketing activity. Machine learning identifies patterns automatically, surfacing insights that traditional analysis would likely miss.

Most importantly, SmartVMS has shifted operations from reactive to predictive management. Real-time monitoring and AI forecasting enable proactive staffing, targeted conservation scheduling during quieter periods, and dynamic resource allocation. What began as an internal solution has evolved into a commercial platform with applications across the heritage sector, demonstrating how historic sites can lead in intelligent technology adoption.

What is the biggest challenge you have faced with AI innovation and how you have overcome it?

David’s greatest challenge has not been technical but human. Achieving genuine operational buy-in for AI across a 600-person heritage organisation required changing how colleagues perceive and interact with technology. Heritage professionals are understandably cautious, with expertise built over decades of caring for irreplaceable buildings, collections, and landscapes. AI risked being seen as diminishing that expertise or even replacing it.

David therefore focused on demonstrating that AI is a supporting tool, not a substitute for human judgment. His approach emphasised partnership: AI and human expertise working together. Rather than imposing technology from the top down, he addressed real operational challenges colleagues faced daily. Predictive visitor flow modelling, for example, didn’t replace the duty manager’s experience. It provided better information for staffing and operational decisions. Sentiment analysis of visitor feedback helped front-of-house teams respond more quickly to emerging concerns.

Adoption came through practical value and accessibility. Tools were designed to integrate into existing workflows, and transparency about how AI worked helped demystify the technology. Over time, teams saw that AI-supported decisions improved conservation outcomes, visitor experiences, and operational efficiency.

This cultural shift across Blenheim’s workforce has been the most significant achievement. Implementing technology is relatively straightforward; building trust and embedding AI as a collaborative partner requires sustained leadership, education, and a clear respect for human expertise.

How do you balance innovation with ethical safeguards?

David’s approach to ethical AI is grounded in 25 years of heritage operations, from front-line visitor engagement to strategic technology leadership. This experience gives him a strongly people-centred perspective, ensuring innovation always serves human needs.

This philosophy shapes every AI decision at Blenheim. Tools are evaluated not only for efficiency but for their impact on colleagues and visitors. Will this enhance the human experience or diminish it? Does it empower staff or create anxiety? These questions guide adoption.

David’s role on the Advisory Board for the School of Engineering, Computing and Mathematics at Oxford Brookes University reinforces this balanced perspective. He contributes real-world heritage insight to discussions on responsible AI development, helping ensure future technologists understand that innovation must support people rather than replace them.

At Blenheim, this translates into transparent AI implementation, staff education, and clear human oversight of automated systems. David promotes AI as augmentation - technology that helps colleagues be more effective at caring for historic buildings, shaping visitor experiences, and making better decisions.

How do you believe the artificial intelligence space will change over the next 12-24 months?

David recognises that the AI landscape will transform rapidly over the next 12–24 months, bringing disruption as capabilities accelerate and economic pressures intensify. Rather than reacting passively, he has positioned Blenheim to navigate this change through proactive workforce preparation.

He believes safeguarding jobs and livelihoods depends on education. David is leading AI upskilling initiatives across Blenheim’s 600-person team, helping colleagues understand both the opportunities and challenges ahead. The focus is not on learning specific tools but on building lasting AI literacy that will support staff throughout their careers.

Beyond the organisation, David also champions outreach to inspire the next generation. Through his work with Oxford Brookes University and engagement programmes, he highlights how AI can create opportunities in unexpected sectors such as heritage.

His approach recognises that successful organisations invest in people as well as technology. By prioritising education and skills development, David aims to build a resilient workforce ready to adapt as AI continues to reshape the future of work.