The AI Chatbot That Doesn't Need Training to Personalize Conversations
Want to deliver an AI-powered customer experience without the need to train or code AI?
ZeroShotBot has got you covered.
The tool is an AI-powered conversational chatbot that uses zero-shot learning, so businesses don't have to train the AI on new use cases and tasks.
We spoke with Jason Mars, CEO of ZeroShotBot, to learn more about this AI-powered marketing solution.
In a single sentence, describe ZeroShotBot.
ZeroShotBot is the world’s first AI-powered, conversational chatbot that harnesses the power of zero-shot learning, requiring zero training or coding for businesses of all sizes.
How does ZeroShotBot use AI?
We use a class of deep learning techniques coined as zero-shot learning with transformer neural networks for natural language processing challenges in conversational AI.
ZeroShotBot harnesses the power of zero-shot learning, which refers to the process by which a machine learns how to categorize objects they have never seen before.
ZeroShotBot can be accessed and configured by anyone, eliminating the requirement to have years of technical knowledge and experience to deploy chatbot technology.
What are the primary marketing use cases for your AI-powered tech?
Customer experience and targeted marketing.
What makes your AI-powered solution smarter than traditional approaches and products?
Because we leverage zero-shot learning techniques, users do not have to train the AI in new use cases. The AI can reason about new domains and challenges, e.g., new types of products and services, instantly.
Are there any minimum requirements for marketers to get value out of your solution?
Marketers only need to know what the answers are to potential questions and enter those into the bot. The bot is able to understand questions automatically from the answers alone.
Who are your ideal customers in terms of company size and industries?
Any company that has products and/or services and also a website.
Industries include: IT, government, healthcare, education, banking and finance, travel, and hospitality.
What do you see as the limitations of AI as it exists today?
The big limitation we address is the complexity risk and poor quality that results from having to collect training data to get AI to work well. Our thesis is, chatbots are terrible these days because the journey of training bots is filled with minefields and takes a very long time.
With our technology, the AI is pre-trained on reasoning to figure out the right answers to question no mater what answers you enter, so users don't need to train the AI themselves.
What do you see as the future potential of AI in marketing?
Marketing is a data-centric industry and lends itself well to AI. AI is going to become the core of much of the marketing art form in the future.
Any other thoughts on AI in marketing, or advice for marketers who are just getting started with AI?
Proof is in the pudding. Alway look for demos of tech on your own problems and data. Don't trust canned demos.
About Paul Roetzer
Paul Roetzer (@paulroetzer) is founder and CEO of PR 20/20, author of The Marketing Performance Blueprint and The Marketing Agency Blueprint, and creator of The Marketing Artificial Intelligence Institute and Marketing Score. Full bio.