Resource Library

Get an exclusive look at the senior decision-makers that attended SmartLab Exchange Europe 2025. This attendee snapshot reveals key job titles, industries represented—including pharma, biotech, FMCG, and chemicals—and strategic investment areas such as lab automation, data governance, AI, and LIMS. Learn what challenges these leaders are tackling, their transformation budgets, and how they’re driving innovation in digital labs. Ideal for solution providers and partners looking to connect with qualified buyers and shape the future of lab technology.

Get an inside look at the SmartLab Exchange Europe 2026 -  the exclusive, senior-level gathering for laboratory innovation leaders, digital transformation experts, and scientific pioneers. Inside you’ll find:

• Event overview and who attends
• Featured speakers and solution thought leaders
• Agenda at a glance
• How the curated Exchange format works
• Testimonials and outcomes from past participants

Download to discover why industry leaders choose SmartLab Exchange for meaningful collaboration and actionable innovation.

SmartLab Europe 2025 brought together laboratory innovation leaders, digital transformation experts, and scientific pioneers for a day of future-focused insights, hands-on technology showcases, and high-impact networking.

Download the post-event report to explore the key themes, speaker highlights, delegate takeaways, and emerging trends that defined this year’s gathering of Europe’s most forward-thinking lab professionals.

📥 Access your copy and see how smart lab innovation is accelerating across Europe.

With laboratories stepping into the digital era, successful digital transformation requires considered planning and execution. In this article, Michael Lang, Global Lead of Operational Excellence in Development at Boehringer Ingelheim, discusses the distinct elements that need to align for laboratory digital transformation projects to be successful, including systems, data, technology, processes and people. Read the article for insights into:

• How to design an effective roadmap for your laboratory’s digital transformation
• Making an informed decision on repurposing existing tech versus investing in new solutions
• Assessing your data quality and data storage processes
• Overcoming resistance to change and getting your people on board with digital transformation
  

With AI and robotics technology advancing at lightning speed, the possibilities for scientists and laboratory leaders to add automation into their existing workflows to enhance accuracy and productivity are endless. However, successful implementation begins with taking the time to identify where AI and robotics can truly add most value. Read this interview with METTLER TOLEDO's Head of AutoChem Product Group Software, Sicco Drion, to find out:

• How the latest robotics technology is boosting lab productivity by automating workflows
• What the starting blocks are for laboratory leaders looking to implement robotics technology
• How combining AI and robotics technology could lead to further productivity gains for laboratories in the future
  

Discover how artificial intelligence is transforming the landscape of materials science in this in-depth whitepaper, "Accelerating Materials Science Discovery Through AI-Powered Active Learning." This expert-led resource explores how active learning - a machine learning technique that prioritizes the most informative data - can dramatically reduce the time and cost of discovering new materials.

Key highlights include:

• How AI and active learning streamline experimental design and reduce the number of physical tests needed.
• Real-world case studies from leading research institutions and industry pioneers.
• Strategies for integrating AI into R&D workflows to accelerate innovation and improve outcomes.
• Insights into data-driven decision-making and predictive modelling in materials development.

Ideal for materials scientists, R&D leaders, and AI practitioners, this article provides actionable insights into the future of smart experimentation and discovery. Whether you're exploring AI adoption or optimizing existing processes, this guide offers a roadmap to faster, more efficient materials innovation.

Explore the transformative potential of AI and automation in laboratory environments with this in-depth guide from SmartLab Europe Exchange. Learn how leading labs are leveraging machine learning to optimize operations, enhance data analysis, reduce costs, and overcome workforce constraints. This report also addresses key implementation challenges, including data readiness, cybersecurity, and cultural resistance, offering practical strategies for responsible and scalable AI adoption. Ideal for lab leaders, R&D professionals, and innovation strategists looking to future-proof their research capabilities.

Discover how laboratories across industries are transforming operations by unlocking the power of big data. This SmartLab Europe Exchange report explores strategies for overcoming data silos, improving data quality, and implementing scalable storage solutions. Learn how predictive analytics, AI, and machine learning can drive faster decision-making, optimise workflows, and enhance compliance. The guide also highlights the importance of upskilling lab teams and building a data-driven culture to fully realise the potential of analytics in scientific environments.

With Sapio’s unified, science-awareTM LIMS/ELN, PTC Therapeutics integrated its approach to research with a single enterprise platform and consolidated vendor solutions.

Explore how Sapio Jarvis transforms fragmented lab data into actionable insights through a science-aware data cloud. This whitepaper outlines the challenges of data silos in research environments and introduces a powerful solution that integrates, contextualizes, and visualizes scientific data across ELNs, LIMS, and instruments. Learn how Jarvis enables FAIR data access, supports advanced analytics, and empowers scientists—not coders—with intuitive tools for decision-making, collaboration, and innovation. Ideal for biopharma, clinical labs, and R&D leaders seeking scalable, AI-ready data infrastructure.

Discover how Uncountable helps Repsol, a global multi-energy company leading the energy transition, achieve its goal of zero net emissions by 2050.