FLAT West 2023 Seminars

• Digital Roadmap for Development: Assessing current capabilities and identifying areas ripe for automation and technology
• Highlighting the challenges faced when instilling a digital-first mindset throughout an organization
• Preparing for a digital future to increase competitiveness and thrive in an ever-evolving business landscape
• Successful digital transformation case studies demonstrating the successful transition from paper-based solutions to fully automated labs

• Conducting accurate risk assessments and strategies to streamline human researcher and robot collaborations
• Design and engineering considerations to incorporate fail-safe mechanisms for emergency halts
• Data capture and decision making: Enabling real-time monitoring to detect and rectify inaccuracies or deviations during liquid handling tasks
• Training and educating operators for safe operations and timely hardware maintenance to avoid errors

• Automating data collection to collect and process experimental data in real-time and increase accuracy
• Utilizing AI to develop predictive models to simulate experiments, predict outcomes, and optimize parameters before conducting the actual tests
• Managing Data & Security: Lab protocols to analyze risks and protects sensitive patient information
• Extracting information using NLP for scientific literature, patents, and research papers

• Enabling direct communication between technicians and customers with real-time status
• Achieving process efficiency with ML and automation tools to optimize space allocation and data sharing
• Enhancing decision-making with strategic asset evaluation, reporting, and predictions
• Empowering employees with actionable intelligence and insights to accelerate the efficiency of operations

Accelerating R&D and increasing the speed of quality experiments is critical. Lab automation has the potential to accelerate the process by reducing the turnaround time by 50%, offering huge benefits to researchers. However, identifying and adopting a suitable technology comes with many operational barriers.

This panel discussion will help you develop a roadmap for implementing suitable emerging technology and best practice to overcome challenges and scale at pace.

• Organizational assessment and strategic planning: Evaluating suitable emerging technology and automation use cases to optimize R&D performance
• Conducting a cost-benefit analysis to determine the financial viability of automation and how to demonstrate the ROI
• New vs. used equipment: Evaluating equipment costs, condition, compatibility, and long-term viability to make an informed decision
• Testing the compatibility of automation solutions with existing infrastructure, equipment, workflows and workforce
• Developing robust data management systems and protocols to handle the increased volume of data generated through lab automation, ensuring data integrity, security, and accessibility
• What’s Next? Exploring opportunities for integration with other emerging technologies, such as digital twins, AR/VR, and others, to further enhance the capabilities and productivity of lab automation

All attendees are invited to attend our networking drinks reception at the end of the day’s proceedings. This is our way of saying thank you for your contribution and to create an additional opportunity to continue your discussions in an informal setting.

• Digital Roadmap for Development: Assessing current capabilities and identifying areas ripe for automation and technology
• Highlighting the challenges faced when instilling a digital-first mindset throughout an organization
• Preparing for a digital future to increase competitiveness and thrive in an ever-evolving business landscape
• Successful digital transformation case studies demonstrating the successful transition from paper-based solutions to fully automated labs

• Conducting accurate risk assessments and strategies to streamline human researcher and robot collaborations
• Design and engineering considerations to incorporate fail-safe mechanisms for emergency halts
• Data capture and decision making: Enabling real-time monitoring to detect and rectify inaccuracies or deviations during liquid handling tasks
• Training and educating operators for safe operations and timely hardware maintenance to avoid errors

• Automating data collection to collect and process experimental data in real-time and increase accuracy
• Utilizing AI to develop predictive models to simulate experiments, predict outcomes, and optimize parameters before conducting the actual tests
• Managing Data & Security: Lab protocols to analyze risks and protects sensitive patient information
• Extracting information using NLP for scientific literature, patents, and research papers

• Enabling direct communication between technicians and customers with real-time status
• Achieving process efficiency with ML and automation tools to optimize space allocation and data sharing
• Enhancing decision-making with strategic asset evaluation, reporting, and predictions
• Empowering employees with actionable intelligence and insights to accelerate the efficiency of operations

Accelerating R&D and increasing the speed of quality experiments is critical. Lab automation has the potential to accelerate the process by reducing the turnaround time by 50%, offering huge benefits to researchers. However, identifying and adopting a suitable technology comes with many operational barriers.

This panel discussion will help you develop a roadmap for implementing suitable emerging technology and best practice to overcome challenges and scale at pace.

• Organizational assessment and strategic planning: Evaluating suitable emerging technology and automation use cases to optimize R&D performance
• Conducting a cost-benefit analysis to determine the financial viability of automation and how to demonstrate the ROI
• New vs. used equipment: Evaluating equipment costs, condition, compatibility, and long-term viability to make an informed decision
• Testing the compatibility of automation solutions with existing infrastructure, equipment, workflows and workforce
• Developing robust data management systems and protocols to handle the increased volume of data generated through lab automation, ensuring data integrity, security, and accessibility
• What’s Next? Exploring opportunities for integration with other emerging technologies, such as digital twins, AR/VR, and others, to further enhance the capabilities and productivity of lab automation

All attendees are invited to attend our networking drinks reception at the end of the day’s proceedings. This is our way of saying thank you for your contribution and to create an additional opportunity to continue your discussions in an informal setting.

Accelerated digital transformation is happening within pharma and biotech labs as organisations embrace automation, robotics, and digital tools. This panel
discussion will provide tips to unlock value from data-led, technology-supported scientific environments. Our panellists will reflect on the progress made, common
challenges faced, and how we can maintain momentum with lab innovation to create smart, connected, labs of the future.

• Realising ROI: Taking a timely, structured, and scalable approach to lab automation for consistent incremental, compounding improvements
• Organisational assessment and change management: Understanding existing lab capabilities, environment, history, politics, and talent to streamline digital
  transition
• How can we simplify lab automation and remove intimidation associated with technology adoption and implementation?
• Harmonisation and standardisation: Exploring the benefits and challenges of standardising lab automation, scientific data, systems, processes, and terminology
• Enhancing scientific collaboration: Applying best practice methods to improve lab connectivity, managing open source vs closed source, and optimising
  interoperability across instruments, platforms, workflows and users
• Exploring disruptive technology trends within discovery, research, and development: How can we remain ahead of the curve and what do we envision as the
  future of labs?
• Evaluating the importance of developing collaborative partnerships: Interlinking academia, associations, users, and providers to help drive meaningful change

Accelerated digital transformation is happening within pharma and biotech labs as organisations embrace automation, robotics, and digital tools. This panel
discussion will provide tips to unlock value from data-led, technology-supported scientific environments. Our panellists will reflect on the progress made, common
challenges faced, and how we can maintain momentum with lab innovation to create smart, connected, labs of the future.

• Realising ROI: Taking a timely, structured, and scalable approach to lab automation for consistent incremental, compounding improvements
• Organisational assessment and change management: Understanding existing lab capabilities, environment, history, politics, and talent to streamline digital
  transition
• How can we simplify lab automation and remove intimidation associated with technology adoption and implementation?
• Harmonisation and standardisation: Exploring the benefits and challenges of standardising lab automation, scientific data, systems, processes, and terminology
• Enhancing scientific collaboration: Applying best practice methods to improve lab connectivity, managing open source vs closed source, and optimising
  interoperability across instruments, platforms, workflows and users
• Exploring disruptive technology trends within discovery, research, and development: How can we remain ahead of the curve and what do we envision as the
  future of labs?
• Evaluating the importance of developing collaborative partnerships: Interlinking academia, associations, users, and providers to help drive meaningful change