What challenges did Honeywell face before AI implementation?

Reduce maintenance costs, increase operational productivity, and upskill employees. Turn industrial data into actionable insights across assets, people, and processes. Help engineers and technicians resolve maintenance issues more quickly across multimodal data sources.

What was the impact of the AI solution?

Honeywell said customers will benefit from opportunities to reduce maintenance costs, increase operational productivity, and upskill employees. The partnership is intended to accelerate safer, autonomous operations for the industrial sector. The first solutions built with Google Cloud AI will be available to Honeywell's customers in 2025.

Source

GCPProductionEvidence: Medium55/100

Autonomous industrial operations with AI agents

Use case typeIndustrial assistantUpdated Oct 21, 2024

Honeywell and Google Cloud announced a collaboration to connect AI agents with assets, people, and processes to accelerate safer autonomous operations in the industrial sector. The solutions combine Gemini on Vertex AI with Honeywell Forge data to deliver enterprise-wide insights across industrial use cases. The initial AI solutions are intended to help engineers and technicians automate tasks, resolve maintenance issues faster, and process multimodal data such as images, videos, text, and sensor readings.

Organization: Honeywell
Industry: Manufacturing
Location: United States
Published: October 2024

Reported outcomes

Strategic outcomes

Cost efficiencyReduce maintenance costs and increase productivityEmployee experienceUpskill employees with AI assistanceEcosystem & partnershipsAccelerate safer autonomous operations

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks

Customer: Honeywell
Provider: GCP
Maturity: Production
Linked source: Honeywell

Reduce maintenance costs, increase operational productivity, and upskill employees

Customer identity supportedSource describes one deploymentMaturity supported

Primary read

Use case focus

Showing 3 of 3

1Industrial assistant
2Workflow automation
3Predictive maintenance

Reduce maintenance costs, increase operational productivity, and upskill employees.
Turn industrial data into actionable insights across assets, people, and processes.
Help engineers and technicians resolve maintenance issues more quickly across multimodal data sources.

Built AI agents on Gemini on Vertex AI and tailored them to industrial workflows.
Connected the agents to Honeywell Forge industrial IoT data and enterprise data.
Used Vertex AI Search for engineers' needs and Gemini multimodality to process images, videos, text, and sensor readings.
Planned edge AI improvements with Gemini Nano for device intelligence and voice-based guided workflows.

Technologies

Vertex AI Gemini Vertex AI Search Gemini Nano Honeywell Forge

Honeywell said customers will benefit from opportunities to reduce maintenance costs, increase operational productivity, and upskill employees.
The partnership is intended to accelerate safer, autonomous operations for the industrial sector.
The first solutions built with Google Cloud AI will be available to Honeywell's customers in 2025.

Architecture

The collaboration combines Gemini on Vertex AI with Honeywell Forge industrial IoT data. Honeywell said the new solutions will use Vertex AI Search for engineers' needs, Gemini multimodality for images, videos, text, and sensor readings, and future edge AI support with Gemini Nano.

Sources & evidence1

Evidence: Medium55/100Evidence strength