Dark Factories, Large Corp. Brands, Super-AI: Fully Automated Appraisal

[Carnivore]

I don't really disagree with you. Especially the Property Data Collector. We already are doing that. FTR my experience with AI is it does try to give a middle ground response. But that depends a little bit on which AI Model your using. I only use the FREE AI Models Microsoft Co-pilot and Google AI



Next post is Google AI Response

 

[Carnivore]

GOOGLE AI RESPONSE
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While AI is transforming the real estate appraisal industry, it is unlikely to completely replace human appraisers. AI tools can assist with tasks like data analysis and automated valuation models, enhancing efficiency and accuracy, but human judgment and expertise remain crucial.

Here's a more detailed explanation:
1. AI as a Tool, Not a Replacement:

• AI is being used as a tool to support appraisers, not to replace them entirely.
  
  
• Appraisers can use AI to analyze vast amounts of data, identify patterns, and automate certain tasks, freeing up time for more complex valuations and critical thinking.
  
  
• AI can also help with tasks like identifying comparable properties and estimating dimensions from photos.

2. Human Expertise Remains Essential:

• • AI may be good at handling large datasets, but it may not account for unique property features, condition, or local market conditions that human appraisers can consider.
  • Appraisers bring their knowledge, experience, and understanding of local regulations and nuances to the appraisal process, which AI cannot replicate.
  • Human oversight and validation are crucial to ensure the accuracy and reliability of AI outputs.

3. Specific Areas Where AI Assists:

• • Automated Valuation Models (AVMs):
    AI can provide quick property value estimates based on data, but human appraisers must consider the limitations of these models.
  • Image Analysis:
    AI can analyze property images to identify features and estimate dimensions, saving appraisers time and effort.
  • Data Analysis:
    AI can analyze vast amounts of market data, uncovering trends and patterns that might not be immediately apparent.

4. The Future of Appraisal:

• • Appraisers will need to adapt their skills and embrace new technologies, but their core role in real estate appraisal will likely remain.
  • AI will likely continue to evolve, and appraisers will need to stay informed about the latest developments and best practices.

 

[Vermonter]

Been tinkering with different models and use cases but haven't applied any of it to appraising so far. Mainly because I don't think there's much long term benefit for the effort. Tend to think those already setup with data collection and appraisal tech (corelogic) will be the ones to implement it and the rest will be out in the cold. There may be a need for appraisers to train models and even monitoring. Will it require a license tho? Probably not.

To stay up on what is happening in AI, I suggest paying attention to HuggingFace. That's usually where the latest news and updates on their advances shows up.

If you think you want to integrate AI into more complex tasks, you should learn about n8n. This is how you can combine multiple simple AI agent functions together to perform much more complex ones (like an appraisal report).

Working on one now to help analyze my algo trader and automating edits to the code based on multiple inputs (backtesting, breaking news/volatility, etc).