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

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Code to Machine – Generative Artificial Intelligence (AI) Meets Industrial Sectors Report Overview

The realm of industrial sectors encompasses companies involved in the production and distribution of goods across a wide range of fields, including automotive, aerospace, energy, and chemical industries. 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.

The report 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. The report 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.

Key Industries Automotive, Manufacturing, Construction, Chemicals, Packaging, Transportation, Infrastructure, and Logistics, Energy, Power & Utilities
Key Companies Hyundai, Continental, Tekion, GWM, Toyota, Mercedes, Seeing Machines, BMW, Hitachi, Shapeways, Sight Machine, ABB, Cognite
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Code to Machine – Generative AI Sector Overview

The key industries impacted by the generative AI are Automotive, Manufacturing, Construction, Chemicals, Packaging, Transportation, Infrastructure, and Logistics, Energy, Power & Utilities. GenAI in sectors such as automotive can refine vehicle design, help create lightweight and aerodynamic models, and facilitate predictive maintenance by analyzing vehicular data to pre-emptively address issues.

Automotive: The automotive sector focuses on the design, manufacturing, and distribution of vehicles such as cars, trucks, and motorcycles, as well as related components and technologies. Some of the key benefits of the integration of GenAI aid in refining vehicle design, creating lightweight and aerodynamic models and facilitating predictive maintenance by analyzing vehicular data to pre-emptively address issues.

Construction: The construction sector refers to the planning, design, and execution of building and infrastructure projects, including residential, commercial, and civil engineering projects. GenAI integration with the construction industry will boost resource optimization, create efficient building designs, and optimize project timelines by predicting and managing potential delays.

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Code to Machine – Generative AI Sector Competitive Landscape

Some of the leading companies in the Code to Machine – Generative AI are Hyundai, Continental, Tekion, GWM, Toyota, Mercedes, Seeing Machines, BMW, Hitachi, Shapeways, Sight Machine, ABB, and Cognite.

Hyundai: Hyundai Motor Company has initiated a digital campaign, “Open for Imagination,” which harnesses genAI to enable users to create bespoke outdoor dream destinations integrated with the all-new SANTA FE model. Using a text-to-image AI model, it produces unique images based on user-selected keywords describing moods and terrains. The campaign, accessible via Hyundai’s official Instagram account, allows interactive and personalized engagement with users.

Hitachi: Hitachi has leveraged genAI to transfer expert skills in maintenance and manufacturing to newer employees. This initiative is a response to the impending mass retirements of seasoned workers.

Code to Machine–Generative AI Companies

Code to Machine–Generative AI CompaniesBuy the Full Report for Additional Company-Wise Insights in the Code to Machine – Generative AI Meets Industrial Sectors Report, Download a Free Sample Report

Scope

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

Key Highlights

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.

Reasons to Buy

  • No surprise that technology has been a driving force in business transformation for years, but the term ‘emerging technologies’ has suddenly 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 GlobalData 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.

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

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

Frequently asked questions

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