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Code to Machine - Generative Artificial Intelligence (AI) Meets Industrial Sectors

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    Report

  • 75 Pages
  • October 2023
  • Region: Global
  • GlobalData
  • ID: 5900954
Generative AI is revolutionizing diverse industrial sectors, from automotive to energy and beyond. Its adoption promises transformative change by optimizing workflows, streamlining processes, and boosting operations. This technology brings efficiency to resource management, mission planning, sustainability, and route optimization. In its latest Innovation Radar report, "Code to Machine: Generative AI Meets Industrial Sectors," the analyst explores these opportunities, highlighting how generative AI is set to redefine industry standards, despite challenges in data security and compliance. The report underscores the unstoppable progress of generative AI in reshaping the future of these sectors.

Innovations: presents real-world innovation examples related to the generative AI use cases in the industrial sectors. It casts light on how industrial sector players are utilizing generative AI technology across key sector-specific application areas.

Scope

- Innovation Insights: innovation examples by sectors on generative AI use cases to present key trends.

Reasons to Buy

- No surprise that technology has been a driving force in business transformation for years, but the term ‘emerging technologies’ has all of a sudden become the key catalyst to drive the next wave of innovation across sectors.
- The sense of urgency weighs differently across different sectors, where the direct customer-facing sectors are at the forefront compared to other capital-intensive sectors. Companies in one sector can take cues from successful innovations in other sectors to either draw analogies with existing products, services, and processes or transfer strategic approaches for a revolutionary transformation.
- Against this backdrop, enterprises need to understand which emerging technologies are impacting their sector and how various companies are implementing them to meet various challenges.
- The innovation landscape report on industrial sectors' innovations in generative AI, published by the analyst as part of an ongoing series, covers some real-world examples to advance the development and implementation of the technology by some of the key enterprises in the industrial sectors.

Table of Contents

1. Introduction to selected industrial sectors

2. Sector exposure map in genAI

3. Thought leadership

4. Key use cases

5. Mapping genAI potential across sectors

6. Real-world innovations by industrial sectors

7. Outlook

Companies Mentioned (Partial List)

A selection of companies mentioned in this report includes, but is not limited to:

  • ABB
  • Ansys
  • Audi
  • Augmenta
  • Augmentir
  • Bermello
  • BMW
  • Cerence
  • Cognite
  • Collov
  • Continental AG
  • Devant
  • Diageo
  • Embassy of Things
  • FourKites
  • General Motors
  • Geotab
  • Google
  • GWM
  • Haomo.ai
  • Hitachi
  • Huawei
  • Hyundai
  • JLL
  • Klir
  • Liquid Instruments
  • Lumafield
  • Markerr
  • Matterport
  • Mercedes
  • Microsoft
  • Mitsui
  • NASA
  • NVIDIA
  • OpenAI
  • Opoplan
  • Parallel Domain
  • Planner 5D
  • qbiq
  • Quantum Generative Materials
  • Rabbet
  • Retrocausal
  • Rockwell Automation
  • Seeing Machines
  • Shandong Energy
  • Shapeway
  • Shell
  • Siemens
  • Sight Machine
  • Sourceful
  • SparkCognition
  • Synthesis AI
  • Tekion
  • Toyota
  • U.S. Steel
  • Waabi
  • Wayve