Review customer profiles and discovery questions to assess their maturity and understand how to best break in
Media & Entertainment
Media Content Discovery (Recommendations, Search)
Creative Assistance
Internal Document/Media Search
Branded Consumer Interactions
Content Summarization + Metadata
Retail
Creative Assistance
Customer Service Automation (CCAI enhancement)
Product Attribution
Conversational Commerce (Search, Recommendations, Content)
Financial Services
Financial Document Search and Synthesis
Enhanced Virtual Assistant
Capital Markets Research
Reg Code Change Consultant
Personalized Financial Recommendations
Healthcare & Life Sciences
Digital Patient Concierge
Customer Service Agent
Public & Private Contextual Search
Expedite Prior Authorization Letter
Clinical Trial Report Generation
Consumer Packaged Goods
Creative Generation
New Product Development
Creative Brief Writing Assist
Consumer/ProductivityEmploye e Services Automation & Risk
Improving Employee Knowledge Search and
Supply Chain & Logistics
Document Search & Synthesis
Regulatory Compliance Automation
Customer Service Automation
Intra-Knowledge Question & Answer (Supply Chain Assistant)
Games
Game Development Assistance (Short term)
In-Game Creative Assistance for Developers (Long term)
Communication Service Providers (CSP)
Intra-Knowledge Question & Answer
Postmortem (PM) Search Assistant
Management of Auto Generated Anomaly Tickets
Branded Consumer Interactions
Document Search and Summarization
Gen AI Powered
Utilize LLM APIs to build differentiated features in their respective markets
Products and services
They leverage pre-trained models / adapt via tuning
In house expertise to harness the capabilities of LLM APIs (not to build)
Offer enhanced language generation, text completion, or NLP for their customers.
Gen AI Disruptor
Deep understanding of LLMs and building/selling models is core to their GTM
In-house expertise to develop foundational models & sometimes provide foundational model tooling
Often sell models through model hubs
Generally have large GPU/TPU needs
Solutions cater to various industries and domains (and push boundaries)
Gen AI Augmented
Adopted machine learning (ML) to drive operating efficiencies
Possess the core people and cultural capabilities to adopt LLMs
Understand the value of incorporating gen AI into existing workflows and processes
Have the necessary infrastructure and data pipelines to leverage LLMs
They can augment their existing AI systems
AI Explorer
Companies just starting to explore AI
Conducting preliminary experiments with LLMs
Assessing their data/AI readiness
Evaluating how current infrastructure, data quality, and expertise align with gen AI requirements.
Haven't made significant progress in their adoption journey
