Cloud provider comparison
Compare cloud provider technology stacks using real source-linked deployments: top AI services, technology breadth, capability patterns, recent activity, and the use cases behind each provider signal.
124
23
206
3
Real AI implementations using Microsoft Azure, Azure AI Foundry, Azure OpenAI, Copilot, Microsoft Fabric, and related services.
95
Indexed Energy & Utilities cases
Technology signals
Real AI implementations using Amazon Web Services, including Bedrock, SageMaker, Amazon Q, and cloud-native AI services.
20
Indexed Energy & Utilities cases
Technology signals
Real AI implementations using Google Cloud, including Gemini, Vertex AI, BigQuery, and enterprise AI services.
9
Indexed Energy & Utilities cases
Technology signals
Real AI implementations using Oracle Cloud Infrastructure, including OCI Generative AI, Select AI, Oracle Digital Assistant, and AI embedded in Fusion Applications.
0
Indexed Energy & Utilities cases
Technology signals
Real AI implementations using IBM watsonx, including watsonx.ai, watsonx Orchestrate, watsonx Assistant, and Granite models.
0
Indexed Energy & Utilities cases
Technology signals
Real AI implementations using Alibaba Cloud, including Model Studio, Qwen (Tongyi Qianwen) models, and Platform for AI (PAI).
0
Indexed Energy & Utilities cases
Technology signals
Top technologies · cases scaled to the leader
Top technologies · cases scaled to the leader
Top technologies · cases scaled to the leader
Technology readout
Microsoft Azure currently has the largest indexed Energy & Utilities evidence footprint with 95 cases in this comparison.
Microsoft Azure spans 102 sampled technologies, led by Azure AI, Azure.
AWS has the strongest recent signal in the latest sampled evidence with 14 cases from the last 180 days.
Microsoft Azure shows the broadest sampled technology adoption context across 1 industries and 24 countries.
Side-by-side table
| Provider | Indexed cases | Share | Recent | Avg. innovation | Top technologies | Technology breadth | Capability pattern | Top industry |
|---|---|---|---|---|---|---|---|---|
| Microsoft | 95 | 77% | 2 | Not scored | Azure AI, Azure, AI | 102 | Agents, Copilot | Energy & Utilities |
| 20 | 16% | 14 | Not scored | Amazon Bedrock, Amazon S3, AWS Lambda | 76 | RAG, Agents | Energy & Utilities | |
| GCP | 9 | 7% | 7 | Not scored | BigQuery, Vertex AI, Gemini | 29 | Agents, Vision | Energy & Utilities |
| 0 | 0% | 0 | Not scored | Not enough evidence | 0 | Not enough evidence | Not enough evidence | |
| 0 | 0% | 0 | Not scored | Not enough evidence | 0 | Not enough evidence | Not enough evidence | |
| Alibaba | 0 | 0% | 0 | Not scored | Not enough evidence | 0 | Not enough evidence | Not enough evidence |
Crawlable comparison pages
Evidence examples
Waterscan replaced Excel-based data models with Looker to deliver faster, more flexible reporting for its Waterline product and internal teams.,The embedded analytics implementation connects Looker to Waterline, builds a data model, embeds dashboards, and configures customer permissions.,Waterscan also uses Looker to automate invoice exception detection, alerts, and workflow handling across finance, retail services, operations, and account teams.
PGS is an integrated marine geophysics company based in Norway, with offices in 14 countries. It maps the ocean subsurface to support offshore renewables and carbon storage.,The company expanded its high-performance compute environment on Google Cloud, moving seismic imaging workloads from an initial lift-and-shift approach to a cloud-native architecture centered on Google Kubernetes Engine.
Iberdrola, a Spain-based multinational utility company, uses AWS to support sustainability and energy transition initiatives at global scale.,The article says Iberdrola enhances IT operations in ServiceNow using Amazon Bedrock AgentCore and different agentic architectures to manage thousands of change requests and incident tickets more efficiently across departments.,It also says Iberdrola uses AWS AI/ML and generative AI capabilities to optimize renewable energy production, lower energy consumption and cost, and accelerate energy solutions into production.
ENGIE Digital built the Robin Analytics and Agathe predictive maintenance platforms for thermal power plants and B2B customer equipment.,The platforms use AWS services including Amazon SageMaker, Amazon S3, AWS Glue, and Amazon Athena to develop, train, and deploy predictive maintenance models at scale.,The architecture supports a large number of assets and models while emphasizing scalability, security boundaries, and controlled costs.
MeanderX is a Germany-based renewable energy intelligence company that uses Google Cloud AI to turn fragmented public grid and permitting documents into actionable insights for developers.,The company built an automated data processing agent with Agent Development Kit (ADK) that scrapes thousands of public documents, stores them in Cloud Storage, searches them with Vertex AI Search, and uses Gemini OCR and Gemini models to extract text and identify grid-relevant entities.,The structured output is stored in Cloud SQL and used to help customers find optimal land and secure leases and permits earlier in the development cycle.
Copel, a leading Brazilian energy company, transformed its data access strategy with Google Cloud generative AI technologies and large language models.,The company built a virtual agent that connects to its on-premises SAP ERP system and lets employees ask natural-language questions to retrieve timely insights from enterprise data.,The solution replaced manual processes involving RPA tools and Excel exports, improving speed, consistency, productivity, and decision-making.
Avista Corporation modernized its contact center using Amazon Connect Customer with Salesforce Service Cloud Voice and partner NeuraFlash.,The utility needed to scale customer service during outages, replace an on-premises system that could only handle 168 concurrent calls, and improve self-service in its IVR.,The new cloud contact center routes callers through IVR self-service and then to agents with voice transcription and CRM context.
Tenaga Nasional Berhad (TNB), Malaysia's national electricity utility, modernized customer support with a generative AI virtual assistant called SARA.,SARA was designed to provide multilingual, 24/7 customer interactions across channels and regions, replacing a keyword-driven FAQ tool.,The solution was built with AWS and Uberfusion and integrated with TNB operational and customer systems.
Noodoe built a generative AI advisor to optimize pricing strategies for EV charging stations by analyzing usage data and recommending pricing models.,The solution was integrated into Noodoe's existing tech stack with Amazon Bedrock, Amazon EC2, and Amazon S3.
FAQ
Microsoft Azure has the largest indexed Energy & Utilities footprint in this view with 95 matching cases.
AWS shows the strongest recent sampled activity with 14 cases from the last 180 days.
The page compares Microsoft Azure, AWS, and Google Cloud using indexed case totals from the filtered dataset. Industry, country, partner, technology, recent activity, and innovativeness signals are calculated from the latest 90 matching cases per provider.
Use the evidence links on each provider card or open the use case ranking with the same provider and industry filters applied.
