{"id":98704,"date":"2026-06-24T00:00:52","date_gmt":"2026-06-23T22:00:52","guid":{"rendered":"https:\/\/www.veeva.com\/eu\/?p=98704"},"modified":"2026-06-24T16:21:00","modified_gmt":"2026-06-24T14:21:00","slug":"the-next-era-of-quality-insights-from-industry-leaders-at-the-2026-rd-and-quality-summit-europe","status":"publish","type":"post","link":"https:\/\/www.veeva.com\/eu\/blog\/the-next-era-of-quality-insights-from-industry-leaders-at-the-2026-rd-and-quality-summit-europe\/","title":{"rendered":"The Next Era of Quality:
Insights From Industry Leaders at the 2026 R&D and Quality Summit, Europe"},"content":{"rendered":"

At Veeva R&D and Quality Summit, Europe in Copenhagen, almost 500 attendees gathered in the Quality Zone for two days of networking and best practice sharing. Quality leaders shared with peers how they are reimagining processes, adopting new technology, and improving ways of working.<\/p>\n

From streamlining CDMO-sponsor collaboration to accelerating batch release and integrating AI, the key takeaway was that simplifying and standardizing quality processes drives a tangible business impact. As life sciences leaders explore and implement new applications to improve quality in their organizations, the industry is poised for an exciting evolution.<\/p>\n

Data as the critical foundation for AI<\/h2>\n

Quality innovation using AI surfaced repeatedly as a discussion point at this year\u2019s Summit. During the Quality Keynote, we heard from two industry leaders on successful AI strategies for quality.<\/p>\n

Magalie Blackie, head of global quality services at Haleon, explained that in a quality context, AI is only as valuable and transformational as the data feeding it, while premature deployment amplifies existing data issues. <\/p>\n

Sanofi\u2019s Head of Quality Performance Transformation, Jean-Philippe Francou, recommended that quality leaders focus their AI implementation time and effort on laying a strong data foundation ahead of launch and roll-out across the organization.<\/p>\n

\n\u201cYou can\u2019t do anything with AI without quality data. That\u2019s #1.

\nAnd to get quality data, you need standardized processes and digital solutions.\u201d
\n Magalie Blackie<\/span>
\n Head of Global Quality Services, Haleon<\/span>\n<\/p><\/blockquote>\n

\"Veeva<\/p>\n

Magalie Blackie of Haleon and Jean-Philippe Francou of Sanofi
join Veeva\u2019s President of Quality Cloud Mike Jovanis in the Quality Keynote, May 2026.<\/em><\/p>\n

Watch the Quality Keynote recording<\/a> to hear more AI quality strategy insights.<\/p>\n

In a Quality Zone session about solving the right quality management pain points with AI, Novo Nordisk Director Hasse Sch\u00f8bel reminded us that more data does not automatically equal a \u2018better\u2019 AI implementation. Instead, he recommends prioritizing data scope and quality over volume, and applying quality thresholds and controls when data is created so that it can work as an effective AI building block.<\/p>\n

Quality leaders now recognize that standardized processes, and having the correct underlying applications, help deliver clean and connected datasets for deeper digital innovation.<\/p>\n

Quality Cloud innovations and updates<\/h2>\n

For a conservative area like quality, understanding how to introduce AI safely and effectively remains a top focus for our customers. During the Quality Keynote, I shared our vision, strategy, and guiding principles for Vault AI<\/a>. This covered specific agentic Vault AI capabilities we\u2019re introducing and how they will increase efficiency across the board.<\/p>\n

\"Veeva<\/p>\n

Presenting Vault AI\u2019s agentic capabilities in the Quality Keynote<\/em><\/p>\n

Alongside these AI innovations, the Quality Keynote outlined the broader Veeva Quality Cloud vision of optimizing and simplifying quality processes for greater efficiency. This includes recent advancements in our core applications, including:<\/p>\n