Duke Energy Impact Report

AI wave impact analysis for Duke Energy — scoring investment depth across key technology layers, signals, services, tools, and concepts.

Sort
Expand

Evaluating Duke Energy's Foundational Layer capabilities across Artificial Intelligence, Cloud, Open-Source, and 2 more. Duke Energy's highest score in this layer is Cloud (45), reflecting cloud infrastructure investment.

Waves

Large Language Models (LLMs) Large Language Models (LLMs) Generative Pre-trained Transformer (GPT) Generative Pre-trained Transformer (GPT) Open-Source LLMs Open-Source LLMs

Signals

Duke Energy's Artificial Intelligence capabilities (score 20) span Hugging Face, Azure Databricks, and Azure Machine Learning services.

Services

Tools

Concepts

Duke Energy's Artificial Intelligence investment is developing, with Hugging Face and Azure Databricks as the primary platforms, reflecting a growing but not yet fully mature posture.

Duke Energy's Cloud capabilities (score 45) are demonstrated through Amazon Web Services, Microsoft Azure, and Google Cloud Platform services.

Services

Tools

Concepts

Duke Energy's Cloud investment is developing, with Amazon Web Services and Microsoft Azure as the primary platforms, reflecting a growing but not yet fully mature posture.

Duke Energy's Open-Source capabilities (score 19) include GitHub, GitLab, and Red Hat services.

Services

Tools

Concepts

Standards

Duke Energy's Open-Source investment is developing, with GitHub and GitLab as the primary platforms, reflecting a growing but not yet fully mature posture.

Duke Energy's Languages capabilities (score 22) include Go, Perl, and React languages.

Duke Energy's Languages investment is developing, with limited recorded tooling as the primary platforms, reflecting a growing but not yet fully mature posture.

Duke Energy's Code capabilities (score 14) span GitHub, GitLab, and Azure DevOps services.

Services

Tools

Concepts

Duke Energy's Code score indicates early-stage investment, with GitHub and GitLab as the primary signals.
Duke Energy's Foundational Layer investment reflects a mature and broad technology posture across this layer. Key platforms include Hugging Face, Azure Databricks, and Azure Machine Learning.

Evaluating Duke Energy's Retrieval & Grounding capabilities across Data, Databases, Virtualization, and 2 more. Duke Energy's highest score in this layer is Data (50), reflecting data platform depth.

Waves

Vector Databases Vector Databases Retrieval-Augmented Generation (RAG) Retrieval-Augmented Generation (RAG) Prompt Engineering Prompt Engineering Context Engineering Context Engineering

Signals

Duke Energy's Data capabilities (score 50) span Power BI, Power Query, and MATLAB services.

Services

Tools

Concepts

Duke Energy's Data investment is developing, with Power BI and Power Query as the primary platforms, reflecting a growing but not yet fully mature posture.

Duke Energy's Databases capabilities (score 14) span SQL Server, Teradata, and SAP BW services.

Services

Tools

Concepts

Standards

Duke Energy's Databases score indicates early-stage investment, with SQL Server and Teradata as the primary signals.

Duke Energy's Virtualization capabilities (score 4) include Spring, Spring Boot, and Spring Framework tools.

Tools

Concepts

Duke Energy's Virtualization score indicates early-stage investment, with Spring and Spring Boot as the primary signals.

Duke Energy's Specifications capabilities (score 3) are demonstrated through Application Programming Interfaces concepts.

Concepts

Standards

Duke Energy's Specifications score indicates early-stage investment, with limited recorded tooling as the primary signals.

Duke Energy's Context Engineering investment (score 0) indicates limited or no recorded activity in this dimension.

No recorded Context Engineering investment signals were found for Duke Energy in the current dataset.
Duke Energy's Retrieval & Grounding investment reflects growing capabilities with meaningful signals. Key platforms include Power BI, Power Query, and MATLAB.

Evaluating Duke Energy's Customization & Adaptation capabilities across Data Pipelines, Model Registry & Versioning, Multimodal Infrastructure, and 1 more. Duke Energy's highest score in this layer is Multimodal Infrastructure (5), reflecting investment in this dimension.

Waves

Fine-Tuning & Model Customization Fine-Tuning & Model Customization Multimodal AI Multimodal AI

Signals

Duke Energy's Data Pipelines capabilities (score 2) span Apache Spark, Apache Kafka, and Apache DolphinScheduler tools.

Tools

Concepts

Duke Energy's Data Pipelines score indicates early-stage investment, with Apache Spark and Apache Kafka as the primary signals.

Duke Energy's Model Registry & Versioning capabilities (score 4) include Azure Databricks and Azure Machine Learning services.

Services

Tools

Duke Energy's Model Registry & Versioning score indicates early-stage investment, with Azure Databricks and Azure Machine Learning as the primary signals.

Duke Energy's Multimodal Infrastructure capabilities (score 5) span Hugging Face and Azure Machine Learning services.

Services

Tools

Duke Energy's Multimodal Infrastructure score indicates early-stage investment, with Hugging Face and Azure Machine Learning as the primary signals.

Duke Energy's Domain Specialization investment (score 0) indicates limited or no recorded activity in this dimension.

No recorded Domain Specialization investment signals were found for Duke Energy in the current dataset.
Duke Energy's Customization & Adaptation investment reflects early-stage or limited activity. Key platforms include Azure Databricks, Azure Machine Learning, and Hugging Face.

Evaluating Duke Energy's Efficiency & Specialization capabilities across Automation, Containers, Platform, and 1 more. Duke Energy's highest score in this layer is Operations (32), reflecting investment in this dimension.

Waves

Small Language Models (SLMs) Small Language Models (SLMs) Model Routing / Orchestration Model Routing / Orchestration Reasoning Models Reasoning Models

Signals

Duke Energy's Automation capabilities (score 25) include Microsoft PowerPoint, Ansible Automation Platform, and Microsoft Power Automate services.

Services

Tools

Concepts

Duke Energy's Automation investment is developing, with Microsoft PowerPoint and Ansible Automation Platform as the primary platforms, reflecting a growing but not yet fully mature posture.

Duke Energy's Containers capabilities (score 9) are demonstrated through Kubernetes Operators and Buildpacks tools.

Tools

Duke Energy's Containers score indicates early-stage investment, with Kubernetes Operators and Buildpacks as the primary signals.

Duke Energy's Platform capabilities (score 24) are demonstrated through Salesforce, Amazon Web Services, and Microsoft Azure services.

Services

Concepts

Duke Energy's Platform investment is developing, with Salesforce and Amazon Web Services as the primary platforms, reflecting a growing but not yet fully mature posture.

Duke Energy's Operations capabilities (score 32) span Datadog, New Relic, and Dynatrace services.

Services

Tools

Concepts

Duke Energy's Operations investment is developing, with Datadog and New Relic as the primary platforms, reflecting a growing but not yet fully mature posture.
Duke Energy's Efficiency & Specialization investment reflects growing capabilities with meaningful signals. Key platforms include Microsoft PowerPoint, Ansible Automation Platform, and Microsoft Power Automate.

Evaluating Duke Energy's Productivity capabilities across Software As A Service (SaaS), Code, and Services. Duke Energy's highest score in this layer is Services (116), reflecting investment in this dimension.

Waves

Coding Assistants Coding Assistants Copilots Copilots

Signals

Duke Energy's Software As A Service (SaaS) investment (score 0) indicates limited or no recorded activity in this dimension.

Services

No recorded Software As A Service (SaaS) investment signals were found for Duke Energy in the current dataset.

Duke Energy's Code capabilities (score 14) span GitHub, GitLab, and Azure DevOps services.

Services

Tools

Concepts

Duke Energy's Code score indicates early-stage investment, with GitHub and GitLab as the primary signals.

Duke Energy's Services capabilities (score 116) span HubSpot, MailChimp, and Datadog services.

Services

Duke Energy demonstrates strong Services investment through HubSpot and MailChimp, indicating mature services capabilities at enterprise scale.
Duke Energy's Productivity investment reflects a mature and broad technology posture across this layer. Key platforms include HubSpot, MailChimp, and Salesforce.

Evaluating Duke Energy's Integration & Interoperability capabilities across API, Integrations, Event-Driven, and 4 more. Duke Energy's highest score in this layer is CNCF (12), reflecting investment in this dimension.

Waves

MCP (Model Context Protocol) MCP (Model Context Protocol) Agents Agents Skills Skills

Signals

Duke Energy's API capabilities (score 6) are demonstrated through Application Programming Interfaces and Working Capitals concepts.

Concepts

Standards

Duke Energy's API score indicates early-stage investment, with limited recorded tooling as the primary signals.

Duke Energy's Integrations capabilities (score 9) are demonstrated through Oracle Integration, Conductor, and Harness services.

Services

Concepts

Duke Energy's Integrations score indicates early-stage investment, with Oracle Integration and Conductor as the primary signals.

Duke Energy's Event-Driven capabilities (score 2) span Apache Kafka and Apache NiFi tools.

Tools

Standards

Duke Energy's Event-Driven score indicates early-stage investment, with Apache Kafka and Apache NiFi as the primary signals.

Duke Energy's Patterns capabilities (score 6) are demonstrated through Spring, Spring Boot, and Spring Framework tools.

Tools

Concepts

Standards

Duke Energy's Patterns score indicates early-stage investment, with Spring and Spring Boot as the primary signals.

Duke Energy's Specifications capabilities (score 3) are demonstrated through Application Programming Interfaces concepts.

Concepts

Standards

Duke Energy's Specifications score indicates early-stage investment, with limited recorded tooling as the primary signals.

Duke Energy's Apache capabilities (score 1) include Apache Spark, Apache Kafka, and Apache Hadoop tools.

Tools

Duke Energy's Apache score indicates early-stage investment, with Apache Spark and Apache Kafka as the primary signals.

Duke Energy's CNCF capabilities (score 12) are demonstrated through Prometheus, Score, and Dex tools.

Tools

Duke Energy's CNCF score indicates early-stage investment, with Prometheus and Score as the primary signals.
Duke Energy's Integration & Interoperability investment reflects growing capabilities with meaningful signals. Key platforms include Oracle Integration, Conductor, and Harness.

Evaluating Duke Energy's Statefulness capabilities across Observability, Governance, Security, and 1 more. Duke Energy's highest score in this layer is Data (50), reflecting data platform depth.

Waves

Memory Systems Memory Systems

Signals

Duke Energy's Observability capabilities (score 23) span Datadog, New Relic, and Dynatrace services.

Services

Tools

Concepts

Duke Energy's Observability investment is developing, with Datadog and New Relic as the primary platforms, reflecting a growing but not yet fully mature posture.

Duke Energy's Governance capabilities (score 15) are demonstrated through Compliances, Governances, and Risk Managements concepts.

Concepts

Standards

Duke Energy's Governance investment is developing, with limited recorded tooling as the primary platforms, reflecting a growing but not yet fully mature posture.

Duke Energy's Security capabilities (score 31) include Cloudflare and Palo Alto Networks services.

Services

Tools

Concepts

Standards

Duke Energy's Security investment is developing, with Cloudflare and Palo Alto Networks as the primary platforms, reflecting a growing but not yet fully mature posture.

Duke Energy's Data capabilities (score 50) span Power BI, Power Query, and MATLAB services.

Services

Tools

Concepts

Duke Energy's Data investment is developing, with Power BI and Power Query as the primary platforms, reflecting a growing but not yet fully mature posture.
Duke Energy's Statefulness investment reflects a mature and broad technology posture across this layer. Key platforms include Datadog, New Relic, and Dynatrace.

Evaluating Duke Energy's Measurement & Accountability capabilities across Testing & Quality, Observability, Developer Experience, and 1 more. Duke Energy's highest score in this layer is ROI & Business Metrics (28), reflecting investment in this dimension.

Waves

Evaluation & Benchmarking Evaluation & Benchmarking

Signals

Duke Energy's Testing & Quality capabilities (score 2) span SonarQube tools.

Tools

Concepts

Standards

Duke Energy's Testing & Quality score indicates early-stage investment, with SonarQube as the primary signals.

Duke Energy's Observability capabilities (score 23) span Datadog, New Relic, and Dynatrace services.

Services

Tools

Concepts

Duke Energy's Observability investment is developing, with Datadog and New Relic as the primary platforms, reflecting a growing but not yet fully mature posture.

Duke Energy's Developer Experience capabilities (score 10) include GitHub, GitLab, and Azure DevOps services.

Services

Tools

Duke Energy's Developer Experience score indicates early-stage investment, with GitHub and GitLab as the primary signals.

Duke Energy's ROI & Business Metrics capabilities (score 28) include Power BI and Crystal Reports services.

Services

Concepts

Duke Energy's ROI & Business Metrics investment is developing, with Power BI and Crystal Reports as the primary platforms, reflecting a growing but not yet fully mature posture.
Duke Energy's Measurement & Accountability investment reflects growing capabilities with meaningful signals. Key platforms include Datadog, New Relic, and Dynatrace.

Evaluating Duke Energy's Governance & Risk capabilities across Regulatory Posture, AI Review & Approval, Security, and 2 more. Duke Energy's highest score in this layer is Security (31), reflecting security posture strength.

Waves

Governance & Compliance Governance & Compliance

Signals

Duke Energy's Regulatory Posture capabilities (score 9) are demonstrated through Compliances, Regulatory Compliances, and Compliance Frameworks concepts.

Concepts

Standards

Duke Energy's Regulatory Posture score indicates early-stage investment, with limited recorded tooling as the primary signals.

Duke Energy's AI Review & Approval capabilities (score 6) are demonstrated through Azure Machine Learning services.

Services

Tools

Concepts

Duke Energy's AI Review & Approval score indicates early-stage investment, with Azure Machine Learning and TensorFlow as the primary signals.

Duke Energy's Security capabilities (score 31) include Cloudflare and Palo Alto Networks services.

Services

Tools

Concepts

Standards

Duke Energy's Security investment is developing, with Cloudflare and Palo Alto Networks as the primary platforms, reflecting a growing but not yet fully mature posture.

Duke Energy's Governance capabilities (score 15) are demonstrated through Compliances, Governances, and Risk Managements concepts.

Concepts

Standards

Duke Energy's Governance investment is developing, with limited recorded tooling as the primary platforms, reflecting a growing but not yet fully mature posture.

Duke Energy's Privacy & Data Rights capabilities (score 5) reflect investment in this dimension with limited specific signal data.

Standards

Duke Energy's Privacy & Data Rights score indicates early-stage investment, with limited recorded tooling as the primary signals.
Duke Energy's Governance & Risk investment reflects growing capabilities with meaningful signals. Key platforms include Azure Machine Learning, Cloudflare, and Palo Alto Networks.

Evaluating Duke Energy's Economics & Sustainability capabilities across AI FinOps, Provider Strategy, Partnerships & Ecosystem, and 2 more. Duke Energy's highest score in this layer is Partnerships & Ecosystem (12), reflecting investment in this dimension.

Waves

Cost Economics & FinOps Cost Economics & FinOps Supply Chain & Dependency Risk Supply Chain & Dependency Risk Data Centers Data Centers

Signals

Duke Energy's AI FinOps capabilities (score 4) include Amazon Web Services, Microsoft Azure, and Google Cloud Platform services.

Services

Concepts

Duke Energy's AI FinOps score indicates early-stage investment, with Amazon Web Services and Microsoft Azure as the primary signals.

Duke Energy's Provider Strategy capabilities (score 6) are demonstrated through Salesforce, Microsoft, and Amazon Web Services services.

Services

Duke Energy's Provider Strategy score indicates early-stage investment, with Salesforce and Microsoft as the primary signals.

Duke Energy's Partnerships & Ecosystem capabilities (score 12) are demonstrated through Salesforce, LinkedIn, and Microsoft services.

Services

Duke Energy's Partnerships & Ecosystem score indicates early-stage investment, with Salesforce and LinkedIn as the primary signals.

Duke Energy's Talent & Organizational Design capabilities (score 6) are demonstrated through LinkedIn, Workday, and PeopleSoft services.

Services

Concepts

Duke Energy's Talent & Organizational Design score indicates early-stage investment, with LinkedIn and Workday as the primary signals.

Duke Energy's Data Centers investment (score 0) indicates limited or no recorded activity in this dimension.

No recorded Data Centers investment signals were found for Duke Energy in the current dataset.
Duke Energy's Economics & Sustainability investment reflects early-stage or limited activity. Key platforms include Amazon Web Services, Microsoft Azure, and Google Cloud Platform.

Evaluating Duke Energy's Storytelling & Entertainment & Theater capabilities across Alignment, Standardization, Mergers & Acquisitions, and 1 more. Duke Energy's highest score in this layer is Alignment (20), reflecting investment in this dimension.

Waves

Moltbook Moltbook Gastown Gastown Ralph Wiggum Ralph Wiggum OpenClaw / Clawdbot OpenClaw / Clawdbot Artificial General Intelligence (AGI) Artificial General Intelligence (AGI)

Signals

Duke Energy's Alignment capabilities (score 20) span Architectures, Digital Transformations, and Security Architectures concepts.

Concepts

Standards

Duke Energy's Alignment investment is developing, with limited recorded tooling as the primary platforms, reflecting a growing but not yet fully mature posture.

Duke Energy's Standardization capabilities (score 7) reflect investment in this dimension with limited specific signal data.

Standards

Duke Energy's Standardization score indicates early-stage investment, with limited recorded tooling as the primary signals.

Duke Energy's Mergers & Acquisitions capabilities (score 12) are demonstrated through Due Diligences, Data Acquisitions, and Talent Acquisitions concepts.

Concepts

Duke Energy's Mergers & Acquisitions score indicates early-stage investment, with limited recorded tooling as the primary signals.

Duke Energy's Experimentation & Prototyping investment (score 0) indicates limited or no recorded activity in this dimension.

No recorded Experimentation & Prototyping investment signals were found for Duke Energy in the current dataset.
Duke Energy's Storytelling & Entertainment & Theater investment reflects growing capabilities with meaningful signals. Key platforms include various platforms.