At Loris, we believe that AI can and is doing amazing things in Customer Experience (CX). But understanding its limitations is just as important as believing in its potential. See how this perspective is built into our product and design philosophy.
AI can either seem magical, like it can accomplish any task, or impossibly complex. We’ve been at this a while, so we know what’s possible and the best way to get the right results. Watch this clip from Loris Lead Machine Learning (ML) Scientist Seth Levine on why ChatGPT can’t deliver customer sentiment at the speed enterprises need.
Click below to see the entire discussion on AI for Customer Sentiment analysis, covering everything from how it works to accuracy to how organizations are operationalizing sentiment.
We get it. There are tons of AI tools and platforms out there, making it harder than ever to understand which is right for you. Here’s what sets Loris apart from the competition.
The Loris AI platform helps organizations see better results with less work and in less time. Instead of starting from scratch, Loris provides a pre-built conversational intelligence platform with a library of AI models already trained on hundreds of millions of real customer service interactions.
The Loris AI platform gives you more accurate insights on day 1, by combining the best attributes of focused machine learning models and customer service-specific Generative AI. This approach balances speed, precision, and flexibility, while removing inaccuracies and hallucinations.
The design of the Loris AI platform means you can get started in a few weeks, giving your organization fast time-to-value without the extensive implementation, configuration, or AI model training. Tons of solution providers make the same promise. We keep it.
While the potential of AI is vast, so is the hype.
Which is why we developed this whitepaper, to make it clear that we’re delivering real results, not empty promises. Inside you’ll see the rationale behind how we built our AI platform, the role each AI model plays in understanding your customers, and the philosophy that guides the design and data science decisions we make, everyday.
Wondering how AI can make it easier to understand your customers? Hear from our Lead Machine Learning Scientist on our approach to Customer Sentiment and why tools like ChatGPT fall short.
