floatbot-ai
floatbot-ai
Floatbot
123 posts
Floatbot is a SaaS-based conversational AI platform that allows building unified chatbots and voicebots without any coding.
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floatbot-ai · 23 days ago
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🚀 Our new Console Design is live! Smoother, smarter, and built to enhance your experience
✨ Cleaner UI ⚡️ Improved performance 🔧 Easier navigation
Haven’t tried it yet? 👉 Sign-up and try now - https://floatbot.ai/signup
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floatbot-ai · 1 month ago
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📣 Manual collections = delays, errors & missed revenue Upgrade to AI-Powered Loan Automation with AI Agents
💡 Automate Payments 📉 Reduce Delinquency 🤖 AI-Driven Collections 🌐 24/7 Multi-Lingual Support
📌 See how it works: https://floatbot.ai/loan-automation
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floatbot-ai · 2 months ago
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AI in Auto Loan Servicing & Collections: Benefits, Use Cases, and ROIs
learn how AI is transforming auto finance by automating loan approvals, servicing and collections. Improve efficiency, reduce costs & enhance customer experience
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floatbot-ai · 3 months ago
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AI use cases in healthcare is stepping in to handle the tedious, time-consuming tasks that drain your energy. With healthcare automation, you can transcribe patient interactions in real time, pull up relevant medical records instantly and even schedule appointments all without you having to lift a finger.
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floatbot-ai · 3 months ago
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Everything you need to know about Synthetic Data Generation
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floatbot-ai · 4 months ago
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floatbot-ai · 4 months ago
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Join us in Las Vegas, Nevada, from March 3–6, 2025, for HIMSS 2025.
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floatbot-ai · 5 months ago
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floatbot-ai · 5 months ago
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How AI is Enhancing Efficiency in Insurance Underwriting Process
Underwriting comes with its problems like fraud, nondisclosure and lost premiums. You probably already use data like driving history, claims, medical records and credit scores but these checks are not always complete or cheap. They only tell you if the information is accurate or not. As the need to spot risks early grows, you are going to need better solutions to manage these issues and protect your bottom line.
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floatbot-ai · 6 months ago
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RMAi Conference Annual 2025
Join us in Las Vegas, Nevada, from February 10–13, 2025, for the RMAi 2025 Annual Conference!
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floatbot-ai · 6 months ago
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Maximizing customer engagement with AI Agent-powered automated phone calls
Let us face it. Handling customer calls one by one is slow, expensive and exhausting for your team. You might even find yourself constantly hiring, training & managing agents just to keep up with demand. And thats not even counting the risk of burnout or employee turnover!
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floatbot-ai · 7 months ago
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Cascading models (which first turn your speech into text and then convert it back into speech) have some problems. They can lose important information along the way, which leads to mistakes & errors.
For example, ‘The weather is cold today’ is processed as ‘The weather is gold today’ due to small difference in pronunciations.
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floatbot-ai · 8 months ago
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These are the strategies that reduce LLM hallucination and works together to improve the reliability and accuracy of LLMs by enhancing their understanding & ability to generate coherent, factually accurate responses
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floatbot-ai · 8 months ago
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Transforming lending with AI automation - Loan origination, servicing and collections
Lenders are under constant pressure to simplify processes and keep customers happy. Getting a loan must be as easy as a few clicks on phone no endless paperwork, no waiting in long lines.
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floatbot-ai · 9 months ago
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Boost Business Efficiency with Low Latency AI Voicebot
Every second your customers wait is a missed opportunity. Low latency voicebots eliminate delays, helping businesses deliver lightning-fast responses that keep operations running smoothly. For enterprises, this means improved efficiency, higher customer retention and a stronger competitive edge. Customers in turn experience seamless, natural conversations without the frustration of long wait time or laggy responses.
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floatbot-ai · 10 months ago
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In context learning in LLM further enhances the model’s ability to adapt to new tasks. And provide more relevant responses based on information you provide in the conversation you are having.
In context learning is a feature of Large language models (LLMs). Basically, you give the model examples of what you want it to do (via prompts) and it takes those examples to perform the required task. So that you can skip explicit retraining. How it works:
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floatbot-ai · 10 months ago
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Floatbot.AI and DAKCS Partner to Streamline ARM Operations and Maximize Debt Recovery
Floatbot’s mission is to redefine debt recovery and accounts receivables management with innovative GenAI-powered solutions. To bolster this commitment, we proudly announce our partnership with DAKCS. With over four decades of excellence in providing accounts receivable software solutions, DAKCS stands as a trusted leader in the industry.
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