Afternoon Sessions Seminars

• Establishing baseline competencies in automation and technology: Implementing structured foundational training to ensure minimum proficiency levels
• Standardizing skills development: Utilizing iterative training cycles and continuous workforce improvement models to build and refine skills
• Building confidence with hands-on learning in real-world applications
• Tracking progress and results: Developing metrics to monitor upskilling, recognize achievements, and identify areas for future growth and development

• Combining AI and digital twins to enable advanced data simulation and predictive modeling
• Demonstrating value to overcome adoption resistance and streamline the wider deployment of digital twins
• Utilizing digital twins to predict machine health, increase efficiency, minimize downtime and improve reliability with optimal engineering and maintenance scheduling
• Analyzing real-time insights to drive down costs, enhance resource allocation and drive sustainability for manufacturing excellence

• Uncovering tech-driven efficiencies and streamlining processes to cut waste
• Achieving workforce transformation by equipping teams for digital success
• Unlocking data-driven decisions to make smarter and faster choices
• Fostering a culture of optimization and continuous improvement

• Building modern data infrastructure: Devising robust strategies for data governance, compliance, and quality assurance
• Ensuring data integrity: Maintaining data accuracy, integrity and quality throughout automated food & beverage production
• A cohesive approach to smart connectivity: Integrating IoT and sensors for unified data insights and greater operational control
• Leveraging centralized data management with real-time data lakes and cloud integration to improve traceability, compliance, and cross-functional collaboration

This session provides an additional opportunity to meet with our product and solution providers in the
exhibition hall to learn more about the products, technology, and services that have been developed
to solve your unique challenges. The technology demonstrations will last approximately 8 minutes on
four cycles with the opportunity to ask questions immediately afterwards over the refreshment break.

• Unveiling findings from the state of Industrial DevOps report
• Examining how automotive leaders are harnessing automation for optimized production, efficiency gains and quality control
• Exploring the role of Industrial DevOps practices in accelerating automation initiatives
• Creating a roadmap for leveraging Industrial DevOps to drive competitive advantages in automotive manufacturing

• Evolving data analysis approaches from manual to automated
• Introducing machine learning and AI for large-scale data processing
• Case studies highlighting successes and failures of advanced analytics
• Benefits of integrating new analytical technologies for efficiency
• Best practices for organizations implementing advanced analytics

This session provides an additional opportunity to meet with our product and solution providers in the exhibition hall to learn more about the products, technology, and services that have been developed to solve some of your unique challenges. The technology demonstrations will last approximately 8 minutes on four cycles with the
opportunity to ask questions immediately afterwards over the refreshment break.

• Understanding the concept of next-generation 3D vision (high quality in motion)
• Real-world use cases of bin picking in car manufacturing
• Exploring the future applications in object handling and robotic assembly
• Future trends and challenges in implementing digital twinning technologies

• Unveiling findings from the state of Industrial DevOps report
• Examining how automotive leaders are harnessing automation for optimized production, efficiency gains and quality control
• Exploring the role of Industrial DevOps practices in accelerating automation initiatives
• Creating a roadmap for leveraging Industrial DevOps to drive competitive advantages in automotive manufacturing

• Evolving data analysis approaches from manual to automated
• Introducing machine learning and AI for large-scale data processing
• Case studies highlighting successes and failures of advanced analytics
• Benefits of integrating new analytical technologies for efficiency
• Best practices for organizations implementing advanced analytics

This session provides an additional opportunity to meet with our product and solution providers in the exhibition hall to learn more about the products, technology, and services that have been developed to solve some of your unique challenges. The technology demonstrations will last approximately 8 minutes on four cycles with the
opportunity to ask questions immediately afterwards over the refreshment break.

• Understanding the concept of next-generation 3D vision (high quality in motion)
• Real-world use cases of bin picking in car manufacturing
• Exploring the future applications in object handling and robotic assembly
• Future trends and challenges in implementing digital twinning technologies

• Identifying the key components of Industrial IoT and the value it presents to manufacturers to enhance improve processes
• Understanding the role of Industrial IoT in enabling autonomous systems and decision making
• Addressing the potential challenges of scalability and interoperability
• Improving tracking and asset optimization of all areas in the manufacturing process through IoT systems

• The future of Canadian factories: How can technology be leveraged to enhance operational efficiency, increase product quality, and decrease costs?
• Designing and building the appropriate infrastructure required to ensure the smart factory program is successful.
• Navigating the evolving technology landscape for continuous improvement and strategic advantage.
• Developing a robust implementation framework for seamless technology integration, risk mitigation, and guaranteed ROI.

The Canadian manufacturing landscape is currently going through a period of digital transformation, however this transformation isn’t without its challenges.
Various factors including the skills gap and lack of investment makes innovation difficult so Canadian manufacturers must address these challenges to keep up
with the global market.
This panel discussion will explore the impact and role of Industry 4.0 technologies on the manufacturing landscape, assessing key use cases, emerging
challenges and future goals.
• How will emerging technologies boost operational efficiency, bridge the workforce gap and enhance competitiveness within the Canadian
manufacturing sector?
• Assessing the challenges Canada faces in staying ahead in the global shift towards digitalization
• Understanding Canada’s diverse manufacturing landscape and the ways technology is being used to meet the needs different sectors
• The role of government policies in fostering innovation and supporting Industry 4.0 initiatives in Canada
• Exploring how technology such as automation, robotics and AI can be used to address the labor shortages

While big pharma and startups often face different challenges, they both contend with shared issues such as resource constraints, managing space
efficiently, and adapting to regulatory demands. This panel will explore how these two types of organizations can learn from each other to optimize
lab operations, streamline processes, and foster innovation. Panelists will discuss how smaller organizations can leverage the experience of larger
companies, while big pharma can gain insights from the agility and creative problem-solving often seen in startups.
-Key differences in lab management, scalability, and operational strategies between big pharma and scale-ups
-Collaborative opportunities: What startups and big pharma can learn from one another
-Practical tools for startups to implement resource-efficient solutions on low budgets
-Best practices for adapting to regulatory requirements in both large and small organizations
-Real-world case studies on successful collaboration between big pharma and startups

Jayson Bernstein, Managing Director, American Laboratory Trading

This session provides an additional opportunity to meet with our product and solution providers
in the exhibition hall to learn more about the products, technology, and services that have
been developed to solve some of your unique challenges. The technology demonstrations will
last approximately 8 minutes on four cycles with the opportunity to ask questions immediately
afterwards over the refreshment break.

• Leveraging visual tools to drive operational clarity, agile decision-making, and cross-functional transparency in lab management
• Utilizing data streams to enable real-time, comprehensive insight into lab performance and lifecycle
• Implementing advanced visualizations for asset utilization, awareness of downtime risks, and capacity planning
• Optimizing lab maintenance, cost control, and audit readiness through data-driven visualizations for long-term asset reliability
• Accelerating digital transformation in labs: Leveraging AI, IoT, and predictive analytics to enable proactive asset management

This session provides an additional opportunity to meet with our product and solution providers in the exhibition
hall to learn more about the products, technology, and services that have been developed to solve some of
your unique challenges. The technology demonstrations will last approximately 8 minutes on four cycles with
the opportunity to ask questions immediately afterwards over the refreshment break.

• Aligning digital technology initiatives with overall business goals
• Frameworks and methodologies used to evaluate technology investments
• Examples of methodologies used to evaluate technology investments
• Addressing the challenges of aligning technology with strategic objectives
• Best practices for ensuring ongoing alignment between business goals and digital transformation

• Navigating industry challenges: Shifting consumer demands, regulatory compliance, supply chain disruptions, and sustainability pressures
• Exploring the power of smart manufacturing through technologies like IoT, AI, and Cloud ERP systems to drive transformation
• Boosting efficiency, ensuring food safety, and reducing waste while staying agile in a dynamic market environment
• Insights from real-world success stories and practical strategies tailored for both seasoned professionals and newcomers in the food & beverage sector

• Outlining long-term goals and vision for comprehensive lab automation
• Exploring emerging technologies and their potential impact on drug development
• Strategies for integrating automation across different stages of drug discovery and development
• Balancing standardisation with flexibility in automated lab systems
• Addressing challenges in scaling automation: From microlitres to litres and beyond
•  Future trends and predictions for lab automation in the pharmaceutical industry

• Understanding the concept of data products in the context of laboratory operations
• Strategies for developing and implementing effective data products
• Enhancing decision-making processes through data-driven insights
• Case studies of successful data product implementations
• Future trends in data product development for pharmaceutical labs

This panel brings together industry leaders to synthesise key learnings and provide a forward-looking perspective on the future of laboratory operations.
Panellists will discuss the most impactful trends in lab automation, data management, and AI-driven experimentation, offering their insights on how these elements converge to
shape the lab of the future.
• Key insights from automation, data management, and AI sessions
• Next wave of lab innovations: AI, robotics, and data analytics convergence
• The convergence of AI, robotics, and data analytics: What does the next wave of lab innovations look like?
• Strategies for future-proofing lab operations: balancing flexibility, scalability, and regulatory compliance
• How close are we to achieving truly self-driving laboratories, and what are the remaining hurdles?
• Looking ahead: Which emerging technologies and methodologies are poised to revolutionise lab operations in the next 5-10 years?

• Enhancing patient experience & data quality: Reducing patient burden, improving retention and capturing more accurate, real-world data
• Unlocking continuous data streams for deeper, constant insights into patient health and treatment response
• Enabling decentralized trials, expanding recruitment pools and removing geographical barriers for greater inclusivity
• Combining real-world data with AI to enable precise patient stratification, early signal detection, and personalized medicine

• Developing targeted outreach strategies leveraging social media and digital platforms to engage underrepresented communities in clinical trials
• Implementing user-friendly interfaces and providing necessary support to enhance digital literacy among participants
• Tailoring questionnaire design to accommodate diverse cultural backgrounds to reduce potential biases in data collection
• Combining structured and unstructured data from EHRs, and community health surveys with modern data fusion algorithms to create patient profiles

• Developing targeted outreach strategies leveraging social media and digital platforms to engage underrepresented communities in clinical trials
• Implementing user-friendly interfaces and providing necessary support to enhance digital literacy among participants
• Tailoring questionnaire design to accommodate diverse cultural backgrounds to reduce potential biases in data collection
• Combining structured and unstructured data from EHRs, and community health surveys with modern data fusion algorithms to create patient profiles

This session provides an additional opportunity to meet with our product and solution providers in the exhibition hall to learn
more about the products, technology, and services that have been developed to solve some of your unique challenges.
The technology demonstrations will last approximately 8 minutes on four cycles with the opportunity to ask questions
immediately afterwards over the refreshment break.

• Mapping the journey from connected systems to fully autonomous operations: Key milestones and transformation stages
• Implementing standardized data architectures that enable real-time decision-making across global manufacturing networks
• Balancing human expertise with AI-driven automation: Change management strategies for workforce evolution
• Building cross-functional collaboration models to accelerate autonomous capabilities development
• Measuring progress: KPIs and success metrics for tracking advancement toward the autonomous connected enterprise

• Current challenges around labor turnover, skills gap, and machine complexity
• Understanding various machine fault types and classifications
• Engineering and machine documentation
• The role of AI in troubleshooting and repair activity
• Delivering targeted notifications with AI results to the right people at the right time
• Visualization and collaboration around repair activities on the factory floor and within Microsoft Teams