I was taken aback and mesmerized when I used ChatGPT for the first time. Being a hobbyist management writer - I was completely astonished to find that ChatGPT can write an article like this in less than 3 seconds.
Note: this article is written by me and not by ChatGPT :-)
It would be fair to say ChatGPT and other LLMs have truly arrived. The overall Generative AI landscape has changed and is changing every second. More and more organizations have announced adaption of LLMs and Generative AI into their day-to-day life. Rather we may be already using Generative AI / LLMs in every sphere of life - whether it is the web search or product development or watching a Generative AI generated video.
As a novice user of these technologies I can also see the tremendous potential of LLMs in all walks of life. And I am sure all organizations and governments must have started their journey of adoption of Generative AI and LLMs. Still, here is my take on the usage of LLMs across industries. I am just writing this in a bullet list for easy reading.
- Automating customer experiences : connecting and follow up with clients, customer support (call centers etc.), loyalty management, chatbots, servicing management, transaction alerts, tips, enquiries and many more for improving customer experience
- Identification of potential customers based on patterns of past purchases and other available parameters such as location, search history, demographic data
- Generating tailored business offerings for customer or set of customers
- Forecasting market trends
- New products creation/offerings based on analyzed pain points of customers
- Formulating investment strategies based on past experiences and future prediction
- Risk management based on enhanced and sophisticated models using unstructured and structured data
- Understand credit worthiness of clients, predict defaults, detect frauds and safeguard overall banking and investment activities
- Business processes automation (e.g. accounting, receivables, production)
- Robotics and data driven production processes
- In manufacturing industries analyze maintenance logs, historical failures and manage / plan maintenance schedules, shut downs, minimize downtime
- Study unstructured data such as news articles and identify impact on finance, consumers, demand and investments
- Build tools for and improve actuarial science
- Study data for building best suited insurance servicing needs of customers
- Build and provide personalized learning pathways (analyzing student performance and preferences) instead of common learning curriculum
- Create adaptive assessment for skills acquisition
- Create immersive knowledge and education content
- Provide tools to educators for curricular design, student assessment, and feedback generation
- Study various resumes and suggest best fit
- Create personalized questionnaire for candidates
- Analyze tools such as LinkedIn and suggest best potential candidate (even the one who has not applied for the role)
- Medical image analysis
- Disease prediction
- Assist in drug discovery and clinical trials
- Create personalized medicine
- Other opportunities such as remote patient monitoring, tele medicine consultants and virtual healthcare assistance
- Manage medical records - manage, retrieve, share, analyze, use in research, cross reference with other data source - all these can be automated
- Automation of code generation (requirements to code), deployment, issue resolution
- Cybersecurity threat assessment and remediation
- Content generation / copywriting suggestions
- Automation of processes of Market Survey
- Social media management
- Auto email newsletters - contact management
- Analyze customer sentiments and predict market trends
- Content creation : stories, songs, plots, themes, names, scripts
- Virtual reality based entertainment
- Immersive games
- Create Art
Transportation, Logistics and Supply Chain
- Optimize supply chain operations - routes, assets allocation, time management, resource planning
- Manage total logistics and transportation/fleet plan with data
- Forecast demand and manage inventories
- Analyze traffic patterns
- Analyze agricultural data and provide insights for crop management
- Analyze demand/supply factor, price, soil data, moisture/water levels, weather conditions for personalized farmer recommendation for planning, irrigation and crop protection
- Analyze latest trends, customer preferences, past bookings and feedback to tailor plans for customers
- Streamline legal research and document storage and analysis
- Help lawyers by suggesting case laws, arguments, procedures, precedents, insights, recommendations
Public Sector, Government/ Philanthropy and Humanitarian Aid
- Assess community needs and allocate resources effectively - review tremendous data that government holds e.g. Aadhar cards, Ration cards, various scheme data, census data etc.
- Plan and distribute humanitarian aid with impact of disasters, demographic data, socioeconomic indicators
- Analyze policy issues and support decision-making processes with structured and unstructured data
- Enhance donor experiences, fundraising efforts with market tools and research
- Identify potential donors by studying CSR patterns and corporations preference / government policies
Energy and Sustainability
- Study and review energy consumption patterns
- Analyze Weather forecasts and grid conditions
- Study solar and wind data for planning solar and wind farms
- Optimize distribution systems and grid systems
Hope you find this useful. Feel free to comment with more such benefits and potential.
