1.1 The Strategic Imperative 8™

1.1 The Strategic Imperative 8™

1.2 The Impact of The Top Three Strategic Imperatives on Digital Technologies for Material R&D

1.3 About The Growth Pipeline Engine™

1.4 Growth Opportunities Fuel The Growth Pipeline Engine™

1.5 Research Methodology

2.1 Research Scope

2.2 Digitization Expected to be a Game Changer Across Functionalities in Material Industry

2.3 Machine Learning Based Algorithms Can Augment their Accuracy Over Time by Leveraging the Results of Previous Experiments

3.1 Data Science and Algorithms can be Used to Simulate R&D Processes

3.2 Key Digital Technologies: Artificial Intelligence and Machine Learning

3.3 Key Digital Technologies: Digital Twin

3.4 Key Digital Technologies: Internet of Things (IoT)

3.5 Key Digital Technologies: Big Data

3.6 Key Areas of Implementation of Digital Technologies in R&D Processes: Modeling and Optimization

3.6 Key Areas of Implementation of Digital Technologies in R&D Processes: Control and Diagnosis (continued)

3.7 Advantages of Implementing Digital Tools for Material R&D

3.8 Challenges of Implementing Digital Tools for Material R&D

4.1 Artificial Intelligence based Platforms to Expedite Research in Chemicals Industry

4.2 Use of Proprietary Technologies to Extract and Harvest Materials Microstructural Information

4.3 Advanced Open Source Software & Data Analytics for New Materials

4.4 Unique AI Platform Expediting Decision Making Process for Materials Development

4.5 Artificial Intelligence Combined With Data for Advancements in Chemicals & Materials Industry

4.6 Unique Data Ingestion and Analaysis tool Accelerating R&D Efforts in Material Development

4.7 AI Powered Platform For Identifying Materials With Desired Properties

4.8 Deep Learning Technology Powered AI Tool Capable of Efficiently Analyzing Sparse and Noisy Data Sets

4.9 SaaS Platform for Effective Steel Development

4.10 Machine Learning and Artificial Intelligence for Coatings and Battery Optimization

4.11 Cloud-based Software for Materials Development

4.12 Hierarchical Machine Learning Platform for Materials Development

4.13 Using AI to Optimize Chemical Extraction Process

4.14 Cloud-based IoT Platform for Chemical Industry

4.15 Advanced Analytics Platform for Chemical Manufacturing

5.1 Growth Opportunity 1: Development of Integrated Platforms With Easy-to-Use Interfaces

5.1 Growth Opportunity 1: Development of Integrated Simulation and Modeling Platforms With Easy-to-Use Interfaces (continued)

5.2 Growth Opportunity 2: Open Source Platforms

5.2 Growth Opportunity 2: Open Source Platforms (Continued)

6.1 Key Contacts

7.1 Your Next Steps

7.2 Why Frost, Why Now?

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