Generative AI Use Cases
Generative AI has reached a tipping point, this technology offers tangible benefits across industries, business, government and process functions. In personal life, people are using generative ai powered apps like Perplexity as assistant to research, plan or learn faster. The power of multi-modal AI is underrated. Former Google CEO Eric Schmidt has said, AI is underhyped. Business are already using AI to
- Enhance productivity & creativity
- Personalize employee, customer and partner experiences
- Accelerate innovation leveraging the power of multi-model frontier models
- Extracting insights & deeper meaning from structured/unstructured data
- Intuit: uses generative AI through its proprietary GenOS platform and Intuit Assist, which are integrated across its products like TurboTax, QuickBooks, Credit Karma, and Mailchimp. This allows Intuit to provide personalized financial insights, automate tasks, and offer intelligent recommendations to its millions of customers, ultimately accelerating innovation and enhancing user experiences across its platform.
- Meta: uses AI-powered tools that can create or edit ad content, including images and text. These tools allow advertisers to quickly generate & iterate over multiple creative options, potentially improving ad performance.
- Perplexity: a conversational answer engine, uses LLMs to deliver relevant answers to user questions. It provides detailed responses with citations to sources.
- Taco Bell & KFC : Yum Brands, the owner of Taco Bell, Pizza Hut and KFC, is using personalized AI-driven marketing campaigns.
- Morgan Stanley : Morgan Stanley has created a generative AI-based assistant called AskResearchGPT. The tool can efficiently extract data, answers and obtain insights from the firms more than 70,000 proprietary reports.
- City of Amarillo: Has a multilingual population. The Texas city built a digital assistant, Emma which uses generative AI to assist residents through voice conversations in multiple languages.
- CoCounsel: CoCounsel is a GenAI powered legal assistant for lawyers. CaseText partnered with OpenAI to finetune a LLM which assists in legal research, document review, contract analysis, drafting, etc. enabling lawyers to work more efficiently and focus on higher-value tasks
I recommend companies to start now, maybe start with narrow or low risk applications. Have a long term strategy for continous evalaution and gradually expand to complex use cases which will create real competivie advantage. Here is how i would categorize use cases
- Customer support automation: simple FAQ and standard queries
- Content moderation: Filter & flag inappropriate content or spam
- Text classification: Sentiment analysis, NER (named entity recognition) or topic labelling
- Educational applications: Quiz, training and flashcard apps
- Educational applications: Quiz, training and flashcard apps
- Marketing: Generate personalized email/SMS campaigns
- Content Generation: Write product descriptions, summarize documents
- Knowledge Retriever ChatBot: Find information on company products/services/domain knowledge
- Advanced analytics: summarize multi-modal content
- Legal and contract analysis: analyze large volume of legal content
- Healthcare analytics: assist in diagnostics
- Field service: multi-modal field service assistants
Resources
- AI Is Starting to Threaten White-Collar Jobs. Few Industries Are Immune.
- ServiceNow CEO Bill McDermott says AI 'deniers' are going to lose big
- Visa Has Deployed Hundreds of AI Use Cases. It’s Not Stopping.
- How Intuit transformed tax filing experiences for millions of consumers with AI/GenAI this tax season.
- T-Mobile Strikes Deal With OpenAI
- Taco Bell and KFC’s Owner Says AI-Driven Marketing Is Boosting Purchases
- How AI Is Already Reshaping White-Collar Work | WSJ