KPMG Impact Report

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

Sort
Expand

Evaluating KPMG's Foundational Layer capabilities across Artificial Intelligence, Cloud, Open-Source, and 2 more. KPMG's highest score in this layer is Cloud (74), 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

KPMG's Artificial Intelligence capabilities (score 50) span OpenAI, Databricks, and Hugging Face services.

KPMG's Artificial Intelligence investment is developing, with OpenAI and Databricks as the primary platforms, reflecting a growing but not yet fully mature posture.

KPMG's Cloud capabilities (score 74) span Amazon Web Services, Microsoft Azure, and Google Cloud Platform services.

KPMG demonstrates strong Cloud investment through Amazon Web Services and Microsoft Azure, indicating mature cloud capabilities at enterprise scale.

KPMG's Open-Source capabilities (score 23) span GitHub, Bitbucket, and GitLab services.

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

KPMG's Languages capabilities (score 32) span .Net, C Net, and C# languages.

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

KPMG's Code capabilities (score 41) span GitHub, Bitbucket, and GitLab services.

KPMG's Code investment is developing, with GitHub and Bitbucket as the primary platforms, reflecting a growing but not yet fully mature posture.
KPMG's Foundational Layer investment reflects a mature and broad technology posture across this layer. Key platforms include OpenAI, Databricks, and Hugging Face.

Evaluating KPMG's Retrieval & Grounding capabilities across Data, Databases, Virtualization, and 2 more. KPMG's highest score in this layer is Data (81), 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

KPMG's Data capabilities (score 81) are demonstrated through Tableau, Power BI, and Databricks services.

KPMG demonstrates strong Data investment through Tableau and Power BI, indicating mature data capabilities at enterprise scale.

KPMG's Databases capabilities (score 13) include SAP HANA, Oracle Integration, and Oracle E-Business Suite services.

KPMG's Databases score indicates early-stage investment, with SAP HANA and Oracle Integration as the primary signals.

KPMG's Virtualization capabilities (score 14) span Citrix, Citrix NetScaler, and Solaris Zones services.

KPMG's Virtualization score indicates early-stage investment, with Citrix and Citrix NetScaler as the primary signals.

KPMG's Specifications capabilities (score 6) are demonstrated through Application Programming Interfaces and Web Services concepts.

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

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

No recorded Context Engineering investment signals were found for KPMG in the current dataset.
KPMG's Retrieval & Grounding investment reflects a mature and broad technology posture across this layer. Key platforms include Tableau, Power BI, and Databricks.

Evaluating KPMG's Customization & Adaptation capabilities across Data Pipelines, Model Registry & Versioning, Multimodal Infrastructure, and 1 more. KPMG's highest score in this layer is Model Registry & Versioning (16), reflecting investment in this dimension.

Waves

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

Signals

KPMG's Data Pipelines capabilities (score 9) are demonstrated through Informatica and Azure Data Factory services.

KPMG's Data Pipelines score indicates early-stage investment, with Informatica and Azure Data Factory as the primary signals.

KPMG's Model Registry & Versioning capabilities (score 16) include Databricks, Azure Databricks, and Azure Machine Learning services.

KPMG's Model Registry & Versioning investment is developing, with Databricks and Azure Databricks as the primary platforms, reflecting a growing but not yet fully mature posture.

KPMG's Multimodal Infrastructure capabilities (score 12) are demonstrated through OpenAI, Hugging Face, and Gemini services.

KPMG's Multimodal Infrastructure score indicates early-stage investment, with OpenAI and Hugging Face as the primary signals.

KPMG's Domain Specialization capabilities (score 2) reflect investment in this dimension with limited specific signal data.

KPMG's Domain Specialization score indicates early-stage investment, with limited recorded tooling as the primary signals.
KPMG's Customization & Adaptation investment reflects growing capabilities with meaningful signals. Key platforms include Informatica, Azure Data Factory, and Databricks.

Evaluating KPMG's Efficiency & Specialization capabilities across Automation, Containers, Platform, and 1 more. KPMG's highest score in this layer is Operations (50), 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

KPMG's Automation capabilities (score 45) are demonstrated through ServiceNow, Microsoft PowerPoint, and Power Platform services.

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

KPMG's Containers capabilities (score 14) span Kubernetes and Buildpacks tools.

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

KPMG's Platform capabilities (score 32) span ServiceNow, Salesforce, and Amazon Web Services services.

KPMG's Platform investment is developing, with ServiceNow and Salesforce as the primary platforms, reflecting a growing but not yet fully mature posture.

KPMG's Operations capabilities (score 50) span ServiceNow, Datadog, and New Relic services.

KPMG's Operations investment is developing, with ServiceNow and Datadog as the primary platforms, reflecting a growing but not yet fully mature posture.
KPMG's Efficiency & Specialization investment reflects a mature and broad technology posture across this layer. Key platforms include ServiceNow, Microsoft PowerPoint, and Power Platform.

Evaluating KPMG's Productivity capabilities across Software As A Service (SaaS), Code, and Services. KPMG's highest score in this layer is Services (185), reflecting investment in this dimension.

Waves

Coding Assistants Coding Assistants Copilots Copilots

Signals

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

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

KPMG's Code capabilities (score 41) span GitHub, Bitbucket, and GitLab services.

KPMG's Code investment is developing, with GitHub and Bitbucket as the primary platforms, reflecting a growing but not yet fully mature posture.

KPMG's Services capabilities (score 185) span BigCommerce, HubSpot, and MailChimp services.

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

Evaluating KPMG's Integration & Interoperability capabilities across API, Integrations, Event-Driven, and 4 more. KPMG's highest score in this layer is Integrations (30), reflecting investment in this dimension.

Waves

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

Signals

KPMG's API capabilities (score 9) are demonstrated through MuleSoft services.

KPMG's API score indicates early-stage investment, with MuleSoft as the primary signals.

KPMG's Integrations capabilities (score 30) are demonstrated through Informatica, Azure Data Factory, and MuleSoft services.

KPMG's Integrations investment is developing, with Informatica and Azure Data Factory as the primary platforms, reflecting a growing but not yet fully mature posture.

KPMG's Event-Driven capabilities (score 7) include Kafka Connect and Apache NiFi tools.

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

KPMG's Patterns capabilities (score 8) span Spring, Spring Boot, and Spring Framework tools.

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

KPMG's Specifications capabilities (score 6) are demonstrated through Application Programming Interfaces and Web Services concepts.

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

KPMG's Apache capabilities (score 4) include Apache Spark, Apache Maven, and Apache Cassandra tools.

KPMG's Apache score indicates early-stage investment, with Apache Spark and Apache Maven as the primary signals.

KPMG's CNCF capabilities (score 16) include Kubernetes, Prometheus, and SPIRE tools.

KPMG's CNCF investment is developing, with Kubernetes and Prometheus as the primary platforms, reflecting a growing but not yet fully mature posture.
KPMG's Integration & Interoperability investment reflects growing capabilities with meaningful signals. Key platforms include MuleSoft, Informatica, and Azure Data Factory.

Evaluating KPMG's Statefulness capabilities across Observability, Governance, Security, and 1 more. KPMG's highest score in this layer is Data (81), reflecting data platform depth.

Waves

Memory Systems Memory Systems

Signals

KPMG's Observability capabilities (score 25) include Datadog, New Relic, and Dynatrace services.

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

KPMG's Governance capabilities (score 35) span Compliances, Governances, and Risk Managements concepts.

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

KPMG's Security capabilities (score 57) are demonstrated through Cloudflare, Palo Alto Networks, and Citrix NetScaler services.

KPMG demonstrates strong Security investment through Cloudflare and Palo Alto Networks, indicating mature security capabilities at enterprise scale.

KPMG's Data capabilities (score 81) are demonstrated through Tableau, Power BI, and Databricks services.

KPMG demonstrates strong Data investment through Tableau and Power BI, indicating mature data capabilities at enterprise scale.
KPMG's Statefulness investment reflects a mature and broad technology posture across this layer. Key platforms include Datadog, New Relic, and Dynatrace.

Evaluating KPMG's Measurement & Accountability capabilities across Testing & Quality, Observability, Developer Experience, and 1 more. KPMG's highest score in this layer is ROI & Business Metrics (39), reflecting investment in this dimension.

Waves

Evaluation & Benchmarking Evaluation & Benchmarking

Signals

KPMG's Testing & Quality capabilities (score 8) span SonarQube tools.

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

KPMG's Observability capabilities (score 25) include Datadog, New Relic, and Dynatrace services.

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

KPMG's Developer Experience capabilities (score 15) are demonstrated through GitHub, GitLab, and GitHub Actions services.

KPMG's Developer Experience investment is developing, with GitHub and GitLab as the primary platforms, reflecting a growing but not yet fully mature posture.

KPMG's ROI & Business Metrics capabilities (score 39) are demonstrated through Tableau, Power BI, and Alteryx services.

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

Evaluating KPMG's Governance & Risk capabilities across Regulatory Posture, AI Review & Approval, Security, and 2 more. KPMG's highest score in this layer is Security (57), reflecting security posture strength.

Waves

Governance & Compliance Governance & Compliance

Signals

KPMG's Regulatory Posture capabilities (score 11) span Compliances, Regulatory Compliances, and Security Compliances concepts.

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

KPMG's AI Review & Approval capabilities (score 12) are demonstrated through OpenAI and Azure Machine Learning services.

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

KPMG's Security capabilities (score 57) are demonstrated through Cloudflare, Palo Alto Networks, and Citrix NetScaler services.

KPMG demonstrates strong Security investment through Cloudflare and Palo Alto Networks, indicating mature security capabilities at enterprise scale.

KPMG's Governance capabilities (score 35) span Compliances, Governances, and Risk Managements concepts.

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

KPMG's Privacy & Data Rights capabilities (score 2) span Data Protections concepts.

KPMG's Privacy & Data Rights score indicates early-stage investment, with limited recorded tooling as the primary signals.
KPMG's Governance & Risk investment reflects a mature and broad technology posture across this layer. Key platforms include OpenAI, Azure Machine Learning, and Cloudflare.

Evaluating KPMG's Economics & Sustainability capabilities across AI FinOps, Provider Strategy, Partnerships & Ecosystem, and 2 more. KPMG's highest score in this layer is Provider Strategy (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

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

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

KPMG's Provider Strategy capabilities (score 12) are demonstrated through Salesforce, Microsoft, and Amazon Web Services services.

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

KPMG's Partnerships & Ecosystem capabilities (score 10) include Salesforce, LinkedIn, and Microsoft services.

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

KPMG's Talent & Organizational Design capabilities (score 8) span LinkedIn, Workday, and PeopleSoft services.

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

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

No recorded Data Centers investment signals were found for KPMG in the current dataset.
KPMG's Economics & Sustainability investment reflects growing capabilities with meaningful signals. Key platforms include Amazon Web Services, Microsoft Azure, and Google Cloud Platform.

Evaluating KPMG's Storytelling & Entertainment & Theater capabilities across Alignment, Standardization, Mergers & Acquisitions, and 1 more. KPMG's highest score in this layer is Mergers & Acquisitions (22), 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

KPMG's Alignment capabilities (score 21) are demonstrated through Architectures, Digital Transformations, and Cloud Architectures concepts.

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

KPMG's Standardization capabilities (score 8) reflect investment in this dimension with limited specific signal data.

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

KPMG's Mergers & Acquisitions capabilities (score 22) include Due Diligences, Data Acquisitions, and M&AS concepts.

KPMG's Mergers & Acquisitions investment is developing, with limited recorded tooling as the primary platforms, reflecting a growing but not yet fully mature posture.

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

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