Understanding 4 Waves of AI

 1.Predictive AI

2.Generative AI

3.Autonomous AI

4.Artificial General Intelligence

1.Predictive AI :

Uses historical data to forecast future events.

Predictive AI  generic use cases

Data analytics, Stock market predictions, Weather forecasting etc

Ex : Einstein Lead Scoring

Automatically scores and prioritises leads based on their likelihood to convert.

Ex : Einstein Opportunity Insights

Predicts the likelihood of an opportunity closing Successfully, providing real-time insights.

Ex: Einstein Prediction Builder

Allows the creation of custom AI models to predict business-specific outcomes like churn.

Ex: Einstein Vision 

Can analyse images for predictive maintenance, such as when machinery parts may fail.

Note : Predictive AI is specialised in forecasting based on existing data.

2.Generative AI :

Creates new data that resembles a given dataset.

Generative AI generic Use cases

Tech behind deep fakes, chatbots , MidJourney, Call-e,Stable Diffusion,ChatGPT etc.

Generative AI Salesforce Use cases 

Einstein Copilot :

A conversational assistant that can generate responses and prompts.

Einstein for Developers :

Can generate Apex code using natural language, aiding in rapid development.

Einstein Email Insights :

Generates suggested follow-ups or actions based on the content of emails.

DataWeave Codegen :

A generative AI tool that simplifies the use of MuleSoft’s DataWeave language by generating DataWeave scripts from sample input and output data.

Note : Generative AI is focused on creating new , similar data.

3.Autonomous AI :

Can make decisions and perform tasks without human intervention.

Autonomous AI generic use cases 

Self-driving cars and drones are prime examples.

Autonomous AI salesforce use cases

Einstein Bots :

Automates routine customer service tasks by handling inquiries without human intervention.

Einstein Case Classification :

Automatically categorises and routes customer service cases to the right agents.

Einstein Automated Contacts :

Uses email and event activity to fine new contacts and opportunity contact roles.

Note : Autonomous AI is all about making decisions and acting without human intervention.

1. Artificial general intelligence (AGI)

Machines that possess the ability to understand , learn , and apply to knowledge across different domains, much like a human.

AGI is still very far away and will need significant breakthroughs in AI research before it can be achieved.

Note : Artificial General Intelligence aims to be as versatile and capable as humans in multiple domains.