Question: I need a platform that allows me to create a conversational interface for my data insights, can you suggest one?

If you want to build a conversational interface for your data insights, DataChat is a top contender. This no-code, generative AI platform lets anyone with a data problem and no programming skills dig into complex data. It's got a spreadsheet-like interface and chat software interface, so you can work in chat boxes and spreadsheets. DataChat has features like AI-generated answers, built-in machine learning, predictive analytics and documentation of all the steps in the analysis. It's geared for data scientists, analysts and business users who need to make decisions fast and with confidence.

Another strong contender is Chaindesk, a no-code platform for creating custom AI chatbots trained on your business data. It uses Generative AI technology like GPT-4 for results that are accurate and secure. Chaindesk lets you import data from a variety of sources, customize the chatbot's persona and goals, and deploy it to websites or other tools. It's got features like omnichannel conversations, human handoff, shared inbox, AI-powered email support and more, so it's good for automating customer support and lead generation.

If you want a chatbot creation platform that integrates with a wide range of data sources, DataLang is worth a look. It can handle data sources like SQL databases, Google Sheets, Notion and more, and lets you publish data through conversational interfaces. DataLang has different pricing levels depending on how many users and how much data you need, so it's good for companies large and small.

SimplyPut is another AI-powered data analytics platform that lets non-technical people get data insights through a natural language interface. It's got real-time analytics, connections to many data warehouses, and the ability to integrate with services like Slack. SimplyPut is a certified official Google Cloud BigQuery partner and offers a free trial, so it's a good choice for companies that want to increase their data analytics abilities without a lot of technical overhead.