CACTUS Communications built highly scalable generative AI-powered services on Amazon Bedrock for its academic publishing and research products.The company deployed Amazon Bedrock into an existing AWS stack to accelerate development of more than 20 generative AI use cases while protecting unpublished research and controlling costs.
Use case type
Generative AI transformation
Generative AI transformation groups 5 documented AI deployments in the AI Use Case Hub. Adoption so far spans Professional Services, Pharma and Consumer & Food, led by United States. Teams most often build it with Azure OpenAI and GPT-4. Browse the company examples below to see how teams put it into production.
Use cases
5
Examples
5
Industries
4
Timeline
4 mo
Data updated 1 day ago
Adoption over time
Documented cases per month
By case publish month · completed months only
1 case documented across 37 months (Jun 23 – Jun 26), peaking at 1 in July 2025.
2 so far in July 2026 (in progress, not charted) · 2 earlier cases before Jun 23 not shown
Each column counts every documented case of this type by its publish month, across the full corpus. The in-progress current month is excluded from columns and surfaced separately, and cases published before the charted window are summarized as earlier cases instead of plotted.
Company examples
Use cases of this type
5 shown from 5 use cases
GCPJul 24, 2026
Mars — Gemini Enterprise Agent Platform for agentic campaign creation and workforce automation
Mars, Inc. is a global $65 billion family-owned consumer goods company with a highly federated operating model and fragmented legacy systems.The company partnered with Google Cloud to adopt Gemini Enterprise as a primary AI operating system and migrated One Demand AI to Gemini Enterprise Agent Platform to provide governed access to specialized agents across business units.Brand teams use campaign brief agents to synthesize brand intelligence and market research into approved briefs, and Mars is launching additional agents for trend identification and ecommerce recommendations.
MicrosoftJul 19, 2025
PwC and Microsoft generative AI
PwC Switzerland uses Azure OpenAI and Power Platform in an AI factory operating model to scale generative AI across knowledge work and client services.The solution includes private ChatGPT-style tools, an AI factory from ideation to execution, and a responsible AI framework for trust and risk management.
MicrosoftApr 26, 2023
PwC expands generative AI capabilities with $1 billion investment leveraging Microsoft Technologies
PwC US plans to invest $1 billion over three years to expand and scale its artificial intelligence portfolio.The firm is building and governing generative AI solutions with Microsoft Azure OpenAI Service and OpenAI models to streamline tax, audit and consulting services.PwC also emphasizes responsible AI, including fairness, transparency, bias, ethical use and data privacy for enterprise deployment.
MicrosoftOct 1, 2019
Novartis and Microsoft: Transforming Medicine with Artificial Intelligence
Novartis and Microsoft formed a multi-year strategic alliance to establish the Novartis AI Innovation Lab in Switzerland.The collaboration aims to bring AI capabilities to every Novartis employee and tackle hard computational problems in life sciences, including generative chemistry, image analysis for personalized therapies, and optimization of cell and gene therapies.
Common questions
Generative AI transformation at a glance
- How many generative ai transformation use cases are documented?
- The AI Use Case Hub documents 5 real generative ai transformation deployments across 4 industries, with 5 detailed company examples you can browse.
- Which industries adopt generative ai transformation the most?
- Generative AI transformation is most common in Professional Services (40%), Pharma (20%) and Consumer & Food (20%).
- Which countries lead in generative ai transformation?
- United States leads documented generative ai transformation deployments, followed by Switzerland and India.
- What technologies are used for generative ai transformation?
- Teams most often build generative ai transformation with Azure OpenAI, GPT-4 and ChatGPT.
- What AI capabilities power generative ai transformation?
- Across the documented deployments, the most common capability patterns are Copilot (20%), Agent (20%) and Multi-agent (20%).
- What results do companies report from generative ai transformation?
- Across the 5 deployments reporting outcomes, companies most often cite risk & compliance (80%), employee experience (60%) and speed & agility (40%).