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Digital Innovation and Operations

Innovation leaders in chemical manufacturing need to leverage the proper digital technologies to both further their innovative pursuits and improve existing products, and they trust Lux Research to help them focus on the right digital innovations. Lux has the cross-functional expertise to draw connections between digital and physical innovations, providing clients with a holistic understanding…

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How We Help Clients

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We cover automation technologies that can be implemented in or added to manufacturing processes. We identify who the key players and partners are in those technologies. We understand the maturity and capabilities of these new technologies and guide our clients on how best to leverage them. We can identify the pitfalls that innovation leaders might encounter and the approaches they should take before implementation.

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Our research covers the intersection between digital technologies and other technologies, and the fast-paced changes that exist across the chemicals industry; we isolate these convergent points that innovation leaders often can’t see.

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The Lux Difference

We understand the point at which digital innovations can make technologies more applicable and useful in the circular economy. Our coverage of physical industries is key, and our focus is uniquely on innovation leaders in the chemicals industry. We connect the dots on how digital is going to completely transform these physical industries.

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Selected Topics We Cover

  • AI-Enabled Sensors / Intelligent Sensing
  • AI Framework to Identify Near-Term and Long-Term Opportunities
  • AI Infrastructure
  • Air Quality Sensing
  • Alternative Manufacturing
  • Automated Inspection Systems
  • Automated Mobile Robots
  • Chemicals e-Commerce
  • Collaborative Robots (Cobots)
  • Computer Vision
  • Data Cleaning
  • Data Monetization
  • Digital Asset Tracking
  • Digital Business Models
  • Digital Maturity Model
  • Digital Twin Platforms
  • Driver-Monitoring Systems
  • Electronic Nose / Gas Sensors
  • Emerging AI Methods
  • Energy Harvesting for Sensors
  • Generative Design
  • HD Mapping / Lidar Sensors
  • Industrial Analytics
  • Industrial Communication Technologies
  • Innovation 4.0
  • IoT for Chemicals
  • IoT Security
  • Materials Informatics
  • Natural Language Processing / Knowledge Management
  • Predictive Maintenance
  • Quantum Computing
  • R&D Lab of the Future
  • Robotics Applications & Use-Cases
  • Robotics Hardware
  • Soft Robotics / Grippers
  • Voice Assistants
  • Worker Monitoring