Market Insight: Practical High-Value Industrial Use Cases For Generative AI In 2024
23 Sep, 2024
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Executive Summary
This report offers a comprehensive examination of the practical, high-value industrial use cases for generative AI (GenAI) for enterprise and industrial firms, as of September 2024. It outlines key advancements in foundational GenAI technologies – such as large language models (LLMs) and data retrieval systems – powering a new breed of natural language search engines, copilot-style chatbots, automated metadata enrichment and code generation. By focusing on real-world applications in operations, sustainability and safety, the report provides actionable insights for technology buyers, business executives and C-Level AI, operational technology (OT) and technology leadership. Highlighting the strategic benefits and implementation challenges, this analysis is essential for those looking to enhance operational efficiency, streamline regulatory compliance and drive lasting innovation with enterprise-grade GenAI tools.
Vendor investments in GenAI continue to support the large language model (LLM) architecture
Continuing significant innovation in AI model orchestration for narrowly defined applications
Five practical high-value industrial use cases for GenAI in 2024
Continuing significant innovation in AI model orchestration for narrowly defined applications
Five practical high-value industrial use cases for GenAI in 2024
Figure 1. Implementation challenges stem from wide variations in GenAI technology maturity
Figure 2. Practical high-value industrial use cases for GenAI in 2024
Figure 2. Practical high-value industrial use cases for GenAI in 2024
Quentic, Seeq, Meta, Typesense, REPFLY, Evotix, ABB, Databricks, Rapid Robotics, Avarni, Microsoft, Makersite, Workiva, Cognite, Carnegie Mellon University, CO2 AI, TigerGraph, Algolia, Elasticsearch, Google, RepRisk, Trendminer, Mistral AI, OpenAI, Sweep, Princeton University, Anthropic, Origami Risk, Andonix, ServiceNow, VelocityEHS, GitHub, GLYNT.AI, Diligent, General Catalyst, Palantir Technologies, Neo4j, EcoOnline, Salesforce, Datamaran, Sphera, Augmentir, Air Canada, IBM, Cohere, Amazon, C3 AI, SymphonyAI Industrial, Alibaba Cloud, TSC, Persefoni, Benchmark Gensuite, ehsAI, Otter.ai, Amazon Web Services (AWS), Dozuki, NASDAQ, FORBES
About the Authors
Joe Lamming
Senior Analyst
Joe is a Senior Analyst and Technical Lead at Verdantix, specializing in AI-first platforms and applications and data management. Combining hands-on development of software an…
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Malavika Tohani
Research Director
Malavika is a Research Director at Verdantix, guiding research that explores how digital technologies and services are reshaping industrial operations to become safer, more ef…
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