Morning Sessions Seminars

Dion Gordon, Conference Director, AMG World

• Interconnecting technology, systems and workflows to reduce downtime, enhance consistency and improve output quality
• Real-time data-driven insights: Leveraging data analytics to analyze, monitor and optimize processes to drive continuous improvements
• Collaboration and cross-functional digitalization: Enabling seamless communication, data-sharing and interdepartmental decision-making support
• Scaling incremental improvements into compounding gains: Identifying small, repeatable process improvements that contribute to substantial transformational value
over time

• Establishing the fundamentals: Aligning goals, assessing technological maturity and evaluating cultural readiness for change
• Understanding existing challenges and frustrations: Identifying and targeting the real problems you are trying to solve with technology implementation
• Creating design-thinking, outcome driven frameworks for agile delivery of enterprise transformation
• Establishing technology as the enabler for change and empowering people as the vehicle for transformation

• Enabling seamless monitoring and intervention: Utilizing IoT devices to enable accurate and timely monitoring of manufacturing processes and equipment
• Leveraging advanced analytics and AI to drive down costs, increase efficiency and maximize resources
• Developing interwoven technology systems to increase cross-functional collaboration and operational visibility, reducing bottlenecks and streamlining workflows
• Optimizing operational agility and decision-making: Reaping the rewards of connected workforces empowered by on-demand data and decision-making support

This session provides an additional opportunity to meet with our AI/ML, IoT, Automation, Process Control, OT, and Data Analytics 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 five cycles with the opportunity to ask questions immediately afterwards over the refreshment break.

Max Partington, Conference Director, AMG World

Kristen Pope, Women in Manufacturing

• Exploring real-world use cases: From inspection to quality control in manufacturing
• Building a strong business case: Addressing high capital investment challenges and ROI considerations
• Organizational roadblocks: How company structures and internal processes impact adoption speed
• Balancing initial costs with long-term operational benefits to drive adoption

• 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 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.
Hear from leading technology leaders specializing in remote monitoring & engagement tools, wearables,
data & analytics software, AI/ ML and many more.

Max Partington, Conference Director, AMG World

• Factory of the Future planning and ideation
• How does the World Class Manufacturing concept of “Ideal Production System” play a role in Factory of the Future?
• Developing a vision for Factory of the Future and promoting an innovative mindset in the workforce
• Why competitive benchmarking and the understanding of Manufacturing Readiness Levels is critical when developing the roadmap for Factory of the Future
• Plan of execution and continuous improvement

• Overcoming the challenges of implementing standardized Industry 4.0 solutions across diverse manufacturing operations
• Exploring best practices and frameworks for successful implementation and integration: Connection, validation, and adoption
• Leveraging data analytics, IoT technologies, and user-friendly interfaces for seamless monitoring and optimization
• Engaging plant floor teams during adoption phase for effective Industry 4.0 utilization across the enterprise

In the automotive industry, integrating IoT with a Unified Namespace (UNS) is key to driving efficiency and intelligence across factory floors and vehicles. This presentation explores how edge-cloud collaboration and UNS can solve challenges in automotive manufacturing.

Key areas include:

• Real-time Data Acquisition: Building frameworks for fast decision-making and optimized operations with seamless data flow through UNS.
• IoT Messaging: Enhancing monitoring and equipment management with MQTT solutions, ensuring unified data management.
• Scalable Architecture: Creating flexible, scalable systems that support innovation and the integration of UNS in smart manufacturing.

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.

Max Partington, Conference Director, AMG World

• Factory of the Future planning and ideation
• How does the World Class Manufacturing concept of “Ideal Production System” play a role in Factory of the Future?
• Developing a vision for Factory of the Future and promoting an innovative mindset in the workforce
• Why competitive benchmarking and the understanding of Manufacturing Readiness Levels is critical when developing the roadmap for Factory of the Future
• Plan of execution and continuous improvement

• Overcoming the challenges of implementing standardized Industry 4.0 solutions across diverse manufacturing operations
• Exploring best practices and frameworks for successful implementation and integration: Connection, validation, and adoption
• Leveraging data analytics, IoT technologies, and user-friendly interfaces for seamless monitoring and optimization
• Engaging plant floor teams during adoption phase for effective Industry 4.0 utilization across the enterprise

In the automotive industry, integrating IoT with a Unified Namespace (UNS) is key to driving efficiency and intelligence across factory floors and vehicles. This presentation explores how edge-cloud collaboration and UNS can solve challenges in automotive manufacturing.

Key areas include:

• Real-time Data Acquisition: Building frameworks for fast decision-making and optimized operations with seamless data flow through UNS.
• IoT Messaging: Enhancing monitoring and equipment management with MQTT solutions, ensuring unified data management.
• Scalable Architecture: Creating flexible, scalable systems that support innovation and the integration of UNS in smart manufacturing.

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.

Charmaine Cheteni, Conference Director, AMG World

• Understanding the role of Sanofi’s Building 100 (B100) as one of Canada’s first biopharmaceutical smart factories to approach commercialization.
• Evaluating the project: Major triumphs, challenges and mitigations when developing, securing, and optimizing the processes/products within B100.
• Integrating bioprocessing schema within an automated environment
• The importance of process analytical technologies (PAT) to provide real-time diagnostics

Eric Doerr, Senior Project Lead M100 MSAT, Sanofi
Katerina Sarkovski, Director, B100 Manufacturing Technology Leader, Industrial Affairs, Sanofi

• Describing the purpose of Smart and Green Learning Factories: Driving innovation in education, research, and industry
• Creating a hands-on, interdisciplinary environment where students, researchers, and industry professionals collaborate to solve real-world challenges
• Integrating cutting edge technologies such as IoT, robotics, and green technologies to foster skills development, accelerate research and promote
sustainable industrial practices
• Bridging the gap between academic theory and practical application

Rafiq Ahmad, Associate Professor Smart Manufacturing Systems, University of Alberta

• Understanding the role and benefits of cloud computing in factories: How can cloud computing enhance operational efficiency and scalability in factories?
• Implementing cloud systems to support dynamic storage needs and scale seamlessly as your technology strategy evolves
• Harnessing IoT-cloud synergy for real-time visibility and control across your manufacturing network
• Identifying the common security risks associated with cloud storage and outlining best practice approaches for data protection and integrity

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.

Max Partington, Conference Director, AMG World

Anthony Navarro, Former Director of Lab Ops, Facilities, and IT, Independent

Introduction to key concepts and the importance of inventory management in lab environments.
A detailed walkthrough of an electronic inventory system implementation for lab consumables: Planning, execution and overcoming common challenges.
How to effectively identify, prioritize and engage stakeholders throughout the project lifecycle to ensure a smooth and successful implementation.
Strategies for following through on the solution, monitoring progress and assessing effectiveness using KPIs.

Identifying flexible design approaches for lab infrastructure.
Optimizing lab layout to enhance space efficiency and workflow.
Implementing cost-effective infrastructure solutions without compromising quality.
Incorporating automation and data-driven insights in space management.
Engaging stakeholders to align infrastructure goals with operational needs.

How do we make our labs more efficient?
Leveraging strategic operational management to streamline processes to collect and analyze data and to set milestones.
Enhancing traditional asset management practices through technology integration to achieve sustainability.
How can Agilent Asset Performance Management Solutions help?

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.

• Exploring the construction landscape: Contrasting scenarios with and without AI integration
• Implications of AI absence: Potential pitfalls and missed opportunities in modern construction
• Case studies: Real-world examples of successful AI implementation in construction projects
• Future outlook: Envisioning the AI-driven construction site of tomorrow

• Assessing the current data landscape and aligning it with the organizational vision
• Building a robust data platform: From data lakes to warehouses
• Establishing trusted operational reporting and ensuring data quality
• Implementing predictive analytics and creating an experimentation platform
• Integrating AI solutions into existing systems and processes

• Strategies for identifying and breaking down data silos in construction organizations
• Harmonizing data from multiple sources (e.g., BIM, ERP, project management tools) for improved collaboration and decision-making
• Best practices for implementing data standardization and normalization to ensure consistent and accurate analysis
• Balancing data integration with maintaining security and integrity
• Streamlining communication with stakeholders through unified data platforms and AI-driven insights
• Case study on how AI-driven compliance reports empowered teams to save time and improve operational efficiency in construction projects

• Prioritize and Organize Data: Focus on identifying the most critical project data, examine it in bulk, and address any data integrity issues.Develop an Analytics Strategy: Create a clear strategy for analyzing data at both the project and operational levels, including the purpose (why) and methods (how) of analysis.
• Implement Data Controls: Establish robust controls to ensure future data collected is accurate, relevant, and of the highest quality.
• Enhance Analytics Visibility: Present analytics in a meaningful way across all organizational levels, making it a central point of discussions and decision-making.
• Leverage AI and Stay Persistent: Use AI to automate, deepen, and streamline analytics processes, while adopting a long-term approach to continuous improvement

• The critical role of lab facility design in safety, productivity, and long-term ROI
• Defining lab functions and user needs to shape effective design and management strategies
• Key factors to ensure a functional, compliant, and adaptable lab environment
• Choosing the right contractors and management teams to maintain lab safety and operational efficiency
• Ensuring successful lab launch: Staff training, safety protocols, and future-proofing the facility

• Optimizing lab construction with cost-effective strategies, modular builds, and proactive lifecycle planning
• Mastering conceptual design principles while balancing scientific accuracy, regulatory compliance, infrastructure adaptability and pioneering innovation
• Applying sustainability and scalability principles by leveraging green energy-efficient design, and future-ready infrastructure planning
• Championing human versus animal work needs in the lab designs and the development process for which to approach

• The importance of resilient lab equipment strategy in mitigating market disruptions and protecting long-term ROI
• Identifying core equipment needs and facility functions to align procurement with operational priorities
• Key considerations for equipment selection: Adaptability, serviceability, supply chain stability, and compliance
• Choosing qualified vendors, service partners, and project managers to ensure safe and efficient equipment integration
• Coordinating installation timelines, delivery logistics, and site readiness for equipment deployment

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.

• Implementing robust systems for capturing comprehensive utilization data from lab spaces and assets
• Utilizing advanced analytics to interpret utilization metrics such as equipment usage rates and workspace occupancy patterns
• Identifying areas of underutilization or overutilization through thorough analysis of utilization data
• Reconfiguring lab layouts to maximize space utilization and facilitate efficient movement of personnel and equipment

• Understand the hidden potential in the digitization of your laboratory
• Learn about a framework to help you identify clear objectives and outcomes for your lab operations
• Hear examples of how other labs have leveraged digital technologies to improve their operations
• Walk away with clear steps you can take to begin your digital lab optimization journey

• Minimizing the environmental impact of lab operations by implementing 3Rs strategy
• Enhancing resource efficiency and cost savings
• Managing lab assets lifecycle to maximize reuse and refurbishment opportunities, to reduce environmental impact
• Utilizing ALT’s framework to create detailed documentation for managing lab assets from procurement through resale

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.

• How can strategic partnerships with CROs enhance resource utilization and expedite research processes?
• Conducting regular quality control and inspection audits to identify and rectify issues promptly
• Developing quality assurance protocols and documentation practices
• Optimizing communication & collaboration downstream effects for long-term success

• Implementing robust systems for capturing comprehensive utilization data from lab spaces and assets
• Utilizing advanced analytics to interpret utilization metrics such as equipment usage rates and workspace occupancy patterns
• Identifying areas of underutilization or overutilization through thorough analysis of utilization data
• Reconfiguring lab layouts to maximize space utilization and facilitate efficient movement of personnel and equipment

• Understand the hidden potential in the digitization of your laboratory
• Learn about a framework to help you identify clear objectives and outcomes for your lab operations
• Hear examples of how other labs have leveraged digital technologies to improve their operations
• Walk away with clear steps you can take to begin your digital lab optimization journey

• Minimizing the environmental impact of lab operations by implementing 3Rs strategy
• Enhancing resource efficiency and cost savings
• Managing lab assets lifecycle to maximize reuse and refurbishment opportunities, to reduce environmental impact
• Utilizing ALT’s framework to create detailed documentation for managing lab assets from procurement through resale

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.

• How can strategic partnerships with CROs enhance resource utilization and expedite research processes?
• Conducting regular quality control and inspection audits to identify and rectify issues promptly
• Developing quality assurance protocols and documentation practices
• Optimizing communication & collaboration downstream effects for long-term success

• Building foundations: Defining the right maturity matrix and understanding the use cases
• Streamlining data collection and standardising processes for enhanced accuracy and efficiency
• Digital Transformation: Moving beyond paper to digital workflows, driving productivity and insightful analytics
• Driving user adoption and maximising the impact of data-driven connected worker technologies

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.
Hear from leading technology leaders specialising in AR/VR, IIoT, Data and Analytics, Robotics, Digital Twins, Predictive Maintenance,
Machine Learning, AI and many more that can assist your organisation in its digital transformation journey.

• Exploring the construction landscape: Contrasting scenarios with and without AI integration
• Implications of AI absence: Potential pitfalls and missed opportunities in modern construction
• Case studies: Real-world examples of successful AI implementation in construction projects
• Future outlook: Envisioning the AI-driven construction site of tomorrow

• Assessing the current data landscape and aligning it with the organizational vision
• Building a robust data platform: From data lakes to warehouses
• Establishing trusted operational reporting and ensuring data quality
• Implementing predictive analytics and creating an experimentation platform
• Integrating AI solutions into existing systems and processes

• Strategies for identifying and breaking down data silos in construction organizations
• Harmonizing data from multiple sources (e.g., BIM, ERP, project management tools) for improved collaboration and decision-making
• Best practices for implementing data standardization and normalization to ensure consistent and accurate analysis
• Balancing data integration with maintaining security and integrity
• Streamlining communication with stakeholders through unified data platforms and AI-driven insights
• Case study on how AI-driven compliance reports empowered teams to save time and improve operational efficiency in construction projects

• Prioritize and Organize Data: Focus on identifying the most critical project data, examine it in bulk, and address any data integrity issues.Develop an Analytics Strategy: Create a clear strategy for analyzing data at both the project and operational levels, including the purpose (why) and methods (how) of analysis.
• Implement Data Controls: Establish robust controls to ensure future data collected is accurate, relevant, and of the highest quality.
• Enhance Analytics Visibility: Present analytics in a meaningful way across all organizational levels, making it a central point of discussions and decision-making.
• Leverage AI and Stay Persistent: Use AI to automate, deepen, and streamline analytics processes, while adopting a long-term approach to continuous improvement

• Establishing a pipeline to develop and upskill the next generation of aerospace manufacturing engineers
• Creating an accessible “makerspace” for SMEs to leverage advanced manufacturing capabilities cost-effectively
• Enabling collaborative R&D by providing aerospace companies with an extension of their innovation labs
• Rapid prototyping and production of functional aerospace components through cutting-edge facilities09#

• Establishing a pipeline to develop and upskill the next generation of aerospace manufacturing engineers
• Creating an accessible “makerspace” for SMEs to leverage advanced manufacturing capabilities cost-effectively
• Enabling collaborative R&D by providing aerospace companies with an extension of their innovation labs
• Rapid prototyping and production of functional aerospace components through cutting-edge facilities09#

• Aligning Industry 4.0 Methodologies to real-world applications
• Debunking Common Misconceptions: Practical Dos and Don’ts
• Defining and Understanding Digital Twins: Key Concepts and a Real-World Example
• Methodologies for Implementing Digital Twins: A Step-by-Step Approach
• Prerequisites, Lessons Learned, and Best Practices for Successful Digital Twin Integration

• Establishing a pipeline to develop and upskill the next generation of aerospace manufacturing engineers
• Creating an accessible “makerspace” for SMEs to leverage advanced manufacturing capabilities cost-effectively
• Enabling collaborative R&D by providing aerospace companies with an extension of their innovation labs
• Rapid prototyping and production of functional aerospace components through cutting-edge facilities09#

Max Partington, Conference Director, AMG World

- CRISPR/Cas9 in target discovery
- Design of automation systems
- Integration with AI and digital tools

• GenAI capabilities for generating insights from multi-modal datasets
• Why trustworthiness is key for the adoption and success of AI
• Examining use cases for empowering pathologists with AI
• Strategies for integrating AI into drug discovery and development workflows

• Applying reusable patterns that streamline instrument integration and data management for sustainable practices
• Shifting from custom implementations to scalable frameworks
• Treating digital capabilities as products to align team efforts, goals, and ownership for ongoing data viability
• Enhancing data reuse through robust governance and effective metadata strategies
• Employing communication and data standards to improve process efficiency, interoperability, and long-term data accessibility

The 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 over the refreshment break.

• Building a unified global data model to enable real-time analytics across production sites
• Implementing IoT and edge computing for faster data processing and decision-making
• How real-time data insights contribute to operational efficiency and quality improvement
• Using predictive analytics to reduce downtime and optimise production workflows
• Overcoming the challenges of data integration and ensuring scalability across diverse manufacturing environments

• Building a unified global data model to enable real-time analytics across production sites
• Implementing IoT and edge computing for faster data processing and decision-making
• How real-time data insights contribute to operational efficiency and quality improvement
• Using predictive analytics to reduce downtime and optimise production workflows
• Overcoming the challenges of data integration and ensuring scalability across diverse manufacturing environments

• Exploring the fundamental drivers that propel rapid technology adoption
• Overcoming the people, infrastructure and digital maturity barriers slowing the current progress of technology adoption
• Identifying specific technology to boost efficiency, speed, accuracy and enrolment
• Developing a robust pilot framework for rigorous testing, validation, and scalability
• The future of technology: Exploring use cases for AI, ChatGPT and agentic AI

• Integrating AI within the early stages to accelerate and optimize clinical trial design
• Exploring how AI technology can be implemented within minor areas to enhance overall clinical outcomes
• Analyzing technical skills and knowledge gaps to enhance training and ensure proper use of tools and data
• Will AI replace people or train people?

• Finding the Right Places: Figuring out the right countries and sites to conduct your clinical trial
• Understanding Local Factors: Considering patient population, healthcare infrastructure, and regulatory environment in different countries
• Leveraging real world data to support recruitment of diverse populations
• Enhanced analytics for decision making: role of predictive modelling, and new AI technologies

• Implementing tailored strategies to foster active participation and feedback from patients throughout the trial duration
• Automating Collection of Patient Outcomes: Ensuring the integrity and reliability of collected data through quality control measures and leveraging advanced analytics
• Adhering to regulatory standards and Integrating ePRO and wearable data streams to gain a comprehensive understanding of patient experiences, behaviors, and health outcomes.
• Future-Proofing Research Methodologies: Adapting to emerging technologies to continuously enhance patient-centricity

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.

• Effective informed consent management for standardized and ethical clinical trials
• Reducing participant burden through digital accessibility, real-time support, and easy-to-use applications
• Assessing Site Readiness: Ensuring that platform aligns with the needs & preferences of trial sites and participants
• Optimizing consent documentation & ensuring compliance with regulatory standards

• Integrating AI within the early stages to accelerate and optimize clinical trial design
• Exploring how AI technology can be implemented within minor areas to enhance overall clinical outcomes
• Analyzing technical skills and knowledge gaps to enhance training and ensure proper use of tools and data
• Will AI replace people or train people?

• Finding the Right Places: Figuring out the right countries and sites to conduct your clinical trial
• Understanding Local Factors: Considering patient population, healthcare infrastructure, and regulatory environment in different countries
• Leveraging real world data to support recruitment of diverse populations
• Enhanced analytics for decision making: role of predictive modelling, and new AI technologies

• Implementing tailored strategies to foster active participation and feedback from patients throughout the trial duration
• Automating Collection of Patient Outcomes: Ensuring the integrity and reliability of collected data through quality control measures and leveraging advanced analytics
• Adhering to regulatory standards and Integrating ePRO and wearable data streams to gain a comprehensive understanding of patient experiences, behaviors, and health outcomes.
• Future-Proofing Research Methodologies: Adapting to emerging technologies to continuously enhance patient-centricity

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.

• Effective informed consent management for standardized and ethical clinical trials
• Reducing participant burden through digital accessibility, real-time support, and easy-to-use applications
• Assessing Site Readiness: Ensuring that platform aligns with the needs & preferences of trial sites and participants
• Optimizing consent documentation & ensuring compliance with regulatory standards

• Exploring why AI should go beyond data visualization to actively optimize manufacturing processes in real-time
• Introducing how AI agents can autonomously monitor, diagnose, and correct production processes without human intervention
• Challenging the assumption that AI is only for insights and showing how AI agents can directly drive efficiency, quality, and competitiveness in automotive production
• Addressing the challenges of AI adoption in manufacturing
• Exploring how manufacturing’s physical constraints create a unique opportunity for AI to drive continuous improvements

• Rolling out the Digital Manufacturing Platform across the plant floor to enable real-time insights
• Capturing early savings and performance improvements through data-driven decision-making
• Enhancing OEE, condition monitoring, and production transparency for long-term impact
• Adapting to fluctuating demand and supply chain disruptions with cloud-based data availability
• Lessons learned from the implementation process and key takeaways for manufacturers

• Root Causes and Solutions: Insights into the sources of machine degradation and the actionable opportunities for improvement, emphasizing the importance of predictive
maintenance practices
• The Right Data: Strategies for collecting comprehensive, high-fidelity data necessary for accurate diagnostics and analysis, including the need for frequent data sampling,
intermittent sampling, and a single pane of glass of 3rd party and legacy sensors
• The Right Analysis: Techniques for simplifying and organizing data into actionable insights using AI and machine learning; automating the identification, diagnosis, and
resolution of issues through prioritization and workflows
• The Right Action: Ensuring that insights are delivered to the right person, at the right time, and in the right context to empower workers to take effective action; improving
maintenance quality, optimizing machine health, and eliminating unplanned events