More from Journey Matters
Jan
13
How to Protect Your Property with FHA-Compliant AI?
Ensure fairness with FHA-compliant AI: Avoid bias, build trust, and protect your property’s reputation.
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Dec
26
Make Your Property's AI a Better Leasing Agent With These Simple Tips
Make your property’s AI feel human by ensuring empathy, context awareness, and personalization to foster trust and engagement with prospects.
2 min read
Dec
16
3 Key Questions to Ensure Your Property's AI is Built on the Right Data Foundation
Discover how property knowledge graphs empower AI to deliver accurate, personalized answers for multifamily.
3 min read
Dec
05
8 Questions to Ask Before Investing in AI for Your Property
Choose AI wisely: Evaluate its data, compliance, automation, and personalization to create meaningful interactions.
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Nov
04
5 Things Multifamily Professionals Should Consider When Choosing an AI Voicebot
Discover the 5 essential factors Multifamily agents need to consider when evaluating AI Voicebots for effective decision-making.
3 min read
Oct
23
How Is An AI Mailbot The Perfect Companion for Multifamily Agents?
AI-powered mailbots automate email responses to save time, increase productivity, and allow the property team to focus on other critical responsibilities.
3 min read
Oct
10
Is Your AI Chatbot Making Your Property Look Uninformed?
RAG helps multifamily AI provide accurate, reliable information on amenities, pricing, and neighborhood insight to ensure better resident and prospect experiences.
3 min read
Sep
30
Why Are Private LLMs Hot Right Now?
The increasing attention to data security highlights the need for Private LLMs in multifamily to keep resident and prospect information safe and secure.
3 min read
Aug
26
How NPU-Powered Technology Can Transform Multifamily Operations?
NPU-powered technology streamlines multifamily operations, automates routine tasks, and improves data security for more efficient management.
3 min read
Aug
02
How Does A Multifamily Chatbot Understand Prospect Queries?
Vector databases turn information into special codes called embeddings. So, if you ask about the pets, the vector database can quickly find the right part of the pet policy. This makes searching fast and accurate.
3 min read