𝐋𝐞𝐭'𝐬 𝐛𝐮𝐢𝐥𝐝 𝐭𝐡𝐢𝐧𝐠𝐬 𝐭𝐡𝐚𝐭 𝐜𝐫𝐞𝐚𝐭𝐞 𝐯𝐚𝐥𝐮𝐞! Here's what I've been doing lately:𝗖𝗼𝗻𝗱𝗶𝘁𝗶𝗼𝗻𝗮𝗹 𝗣𝗿𝗼𝗯𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀--Purpose: Identify factors influencing outcomes for better predictions.--Our Use: Pinpoint behaviours that signal likely upgrades in SaaS.--Famous Example: Predictive maintenance in energy grids using sensor data.𝐑𝐞𝐜𝐨𝐦𝐦𝐞𝐧𝐝𝐞𝐫 𝐒𝐲𝐬𝐭𝐞𝐦𝐬--Purpose: Suggest products based on user preferences (content or collaborative filtering).--Our Use: Recommend properties to website users.--Famous Example: Netflix and online shopping recommendations.𝐈𝐦𝐚𝐠𝐞 𝐂𝐥𝐚𝐬𝐬𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧--Purpose: Categorise images using computer vision.--Our Use: Classify real estate photos by type (e.g., exterior, bedroom).--Famous Example: Detecting parking occupancy.𝐈𝐦𝐚𝐠𝐞 𝐅𝐞𝐚𝐭𝐮𝐫𝐞 𝐄𝐱𝐭𝐫𝐚𝐜𝐭𝐢𝐨𝐧--Purpose: Identify objects in images.--Our Use: Detect objects like air conditioners in real estate images.--Famous Example: Radiology image analysis. 𝐈𝐦𝐚𝐠𝐞 𝐅𝐞𝐚𝐭𝐮𝐫𝐞 𝐄𝐱𝐭𝐫𝐚𝐜𝐭𝐢𝐨𝐧--Purpose: Extract information from text.--Our Use: Determine pet-friendliness of rentals from descriptions.--Famous Example: Social media sentiment analysis.𝐂𝐥𝐮𝐬𝐭𝐞𝐫𝐢𝐧𝐠--Purpose: Group data into similar clusters.--Our Use: Segment traffic flows at intersections for predictive modelling.--Famous Example: Customer segmentation in marketing.𝐓𝐢𝐦𝐞 𝐒𝐞𝐫𝐢𝐞𝐬 𝐅𝐨𝐫𝐞𝐜𝐚𝐬𝐭𝐢𝐧𝐠--Purpose: Predict future behavior based on historical data.--Our Use: Forecast mobile usage and electricity consumption.--Famous Example: Walmart demand forecasting.𝐃𝐚𝐭𝐚 𝐂𝐥𝐞𝐚𝐧𝐬𝐢𝐧𝐠 𝐰𝐢𝐭𝐡 𝐀𝐈--Purpose: Automate data cleaning by detecting issues and suggesting fixes.--Our Use: Identify and clean inconsistencies in real estate data. 𝐂𝐨𝐦𝐛𝐢𝐧𝐚𝐭𝐨𝐫𝐢𝐜𝐬--Purpose: Optimise allocations efficiently (not strictly AI).--Our Use: Allocate subscribers to pricing pools and optimise cargo loading.--Famous Example: Travelling salesman problem.𝐓𝐓𝐘𝐃𝐁 (𝐓𝐚𝐥𝐤 𝐭𝐨 𝐘𝐨𝐮𝐫 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞)--Purpose: Use AI to query databases with natural language.--Our Use: Convert real estate requests to code for complex queries.