Walgreens Impact Report

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

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Evaluating Walgreens's Foundational Layer capabilities across Artificial Intelligence, Cloud, Open-Source, and 2 more. Walgreens's highest score in this layer is Cloud (56), 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

Walgreens's Artificial Intelligence capabilities (score 29) span Hugging Face, Gemini, and Azure Machine Learning services.

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

Walgreens's Cloud capabilities (score 56) span Amazon Web Services, Microsoft Azure, and CloudFormation services.

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

Walgreens's Open-Source capabilities (score 19) include GitHub, Bitbucket, and GitLab services.

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

Walgreens's Languages capabilities (score 28) include .Net, Go, and Html languages.

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

Walgreens's Code capabilities (score 18) are demonstrated through GitHub, Bitbucket, and GitLab services.

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

Evaluating Walgreens's Retrieval & Grounding capabilities across Data, Databases, Virtualization, and 2 more. Walgreens's highest score in this layer is Data (40), 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

Walgreens's Data capabilities (score 40) include Informatica, Power Query, and Azure Data Factory services.

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

Walgreens's Databases capabilities (score 15) are demonstrated through Teradata, SAP HANA, and Oracle Integration services.

Walgreens's Databases investment is developing, with Teradata and SAP HANA as the primary platforms, reflecting a growing but not yet fully mature posture.

Walgreens's Virtualization capabilities (score 8) span Citrix NetScaler services.

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

Walgreens's Specifications capabilities (score 3) are demonstrated through Application Programming Interfaces and Simple API for XML concepts.

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

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

No recorded Context Engineering investment signals were found for Walgreens in the current dataset.
Walgreens's Retrieval & Grounding investment reflects growing capabilities with meaningful signals. Key platforms include Informatica, Power Query, and Azure Data Factory.

Evaluating Walgreens's Customization & Adaptation capabilities across Data Pipelines, Model Registry & Versioning, Multimodal Infrastructure, and 1 more. Walgreens's highest score in this layer is Multimodal Infrastructure (11), reflecting investment in this dimension.

Waves

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

Signals

Walgreens's Data Pipelines capabilities (score 5) span Informatica and Azure Data Factory services.

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

Walgreens's Model Registry & Versioning capabilities (score 10) include Azure Machine Learning services.

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

Walgreens's Multimodal Infrastructure capabilities (score 11) span Hugging Face, Gemini, and Azure Machine Learning services.

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

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

No recorded Domain Specialization investment signals were found for Walgreens in the current dataset.
Walgreens's Customization & Adaptation investment reflects early-stage or limited activity. Key platforms include Informatica, Azure Data Factory, and Azure Machine Learning.

Evaluating Walgreens's Efficiency & Specialization capabilities across Automation, Containers, Platform, and 1 more. Walgreens's highest score in this layer is Operations (35), 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

Walgreens's Automation capabilities (score 29) span ServiceNow, Microsoft PowerPoint, and GitHub Actions services.

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

Walgreens's Containers capabilities (score 16) include Helm and Buildpacks tools.

Walgreens's Containers investment is developing, with Helm and Buildpacks as the primary platforms, reflecting a growing but not yet fully mature posture.

Walgreens's Platform capabilities (score 22) include ServiceNow, Salesforce, and Amazon Web Services services.

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

Walgreens's Operations capabilities (score 35) span ServiceNow, Datadog, and New Relic services.

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

Evaluating Walgreens's Productivity capabilities across Software As A Service (SaaS), Code, and Services. Walgreens's highest score in this layer is Services (141), reflecting investment in this dimension.

Waves

Coding Assistants Coding Assistants Copilots Copilots

Signals

Walgreens'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 Walgreens in the current dataset.

Walgreens's Code capabilities (score 18) are demonstrated through GitHub, Bitbucket, and GitLab services.

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

Walgreens's Services capabilities (score 141) are demonstrated through BigCommerce, HubSpot, and MailChimp services.

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

Evaluating Walgreens's Integration & Interoperability capabilities across API, Integrations, Event-Driven, and 4 more. Walgreens's highest score in this layer is CNCF (20), reflecting investment in this dimension.

Waves

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

Signals

Walgreens's API capabilities (score 8) span Paw services.

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

Walgreens's Integrations capabilities (score 17) span Informatica, Azure Data Factory, and Oracle Integration services.

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

Walgreens's Event-Driven capabilities (score 6) are demonstrated through Kafka Connect, Spring Cloud Stream, and Apache NiFi tools.

Walgreens's Event-Driven score indicates early-stage investment, with Kafka Connect and Spring Cloud Stream as the primary signals.

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

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

Walgreens's Specifications capabilities (score 3) are demonstrated through Application Programming Interfaces and Simple API for XML concepts.

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

Walgreens's Apache capabilities (score 4) include Apache Spark, Apache Ant, and Apache ZooKeeper tools.

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

Walgreens's CNCF capabilities (score 20) span Prometheus, SPIRE, and Score tools.

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

Evaluating Walgreens's Statefulness capabilities across Observability, Governance, Security, and 1 more. Walgreens's highest score in this layer is Data (40), reflecting data platform depth.

Waves

Memory Systems Memory Systems

Signals

Walgreens's Observability capabilities (score 26) span Datadog, New Relic, and Dynatrace services.

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

Walgreens's Governance capabilities (score 13) include Compliances, Governances, and Regulatory Compliances concepts.

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

Walgreens's Security capabilities (score 33) are demonstrated through Cloudflare, Palo Alto Networks, and Citrix NetScaler services.

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

Walgreens's Data capabilities (score 40) include Informatica, Power Query, and Azure Data Factory services.

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

Evaluating Walgreens's Measurement & Accountability capabilities across Testing & Quality, Observability, Developer Experience, and 1 more. Walgreens's highest score in this layer is Observability (26), reflecting investment in this dimension.

Waves

Evaluation & Benchmarking Evaluation & Benchmarking

Signals

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

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

Walgreens's Observability capabilities (score 26) span Datadog, New Relic, and Dynatrace services.

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

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

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

Walgreens's ROI & Business Metrics capabilities (score 21) are demonstrated through Crystal Reports services.

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

Evaluating Walgreens's Governance & Risk capabilities across Regulatory Posture, AI Review & Approval, Security, and 2 more. Walgreens's highest score in this layer is Security (33), reflecting security posture strength.

Waves

Governance & Compliance Governance & Compliance

Signals

Walgreens's Regulatory Posture capabilities (score 5) span Compliances, Regulatory Compliances, and Compliance Policies concepts.

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

Walgreens's AI Review & Approval capabilities (score 9) are demonstrated through Azure Machine Learning services.

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

Walgreens's Security capabilities (score 33) are demonstrated through Cloudflare, Palo Alto Networks, and Citrix NetScaler services.

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

Walgreens's Governance capabilities (score 13) include Compliances, Governances, and Regulatory Compliances concepts.

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

Walgreens's Privacy & Data Rights investment (score 0) indicates limited or no recorded activity in this dimension.

No recorded Privacy & Data Rights investment signals were found for Walgreens in the current dataset.
Walgreens's Governance & Risk investment reflects growing capabilities with meaningful signals. Key platforms include Azure Machine Learning, Cloudflare, and Palo Alto Networks.

Evaluating Walgreens's Economics & Sustainability capabilities across AI FinOps, Provider Strategy, Partnerships & Ecosystem, and 2 more. Walgreens's highest score in this layer is Partnerships & Ecosystem (10), 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

Walgreens's AI FinOps capabilities (score 4) include Amazon Web Services and Microsoft Azure services.

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

Walgreens's Provider Strategy capabilities (score 8) span Salesforce, Microsoft, and Amazon Web Services services.

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

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

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

Walgreens's Talent & Organizational Design capabilities (score 10) include LinkedIn, Workday, and PeopleSoft services.

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

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

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

Evaluating Walgreens's Storytelling & Entertainment & Theater capabilities across Alignment, Standardization, Mergers & Acquisitions, and 1 more. Walgreens's highest score in this layer is Alignment (16), 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

Walgreens's Alignment capabilities (score 16) include Business Strategies and Transformations concepts.

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

Walgreens's Standardization capabilities (score 6) reflect investment in this dimension with limited specific signal data.

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

Walgreens's Mergers & Acquisitions capabilities (score 16) include Talent Acquisitions concepts.

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

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

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