Intercom provides a lot of value to us. From live chat to email marketing and even helping us to create support documentation, Intercom handles a lot of key moving parts that are essential to keeping customers happy.
Intercom might be a bit more popular than Amazon Forecast. We know about 6 links to it since March 2021 and only 5 links to Amazon Forecast. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Use chatbots to automate customer service: Chatbots use natural language processing to communicate with customers and answer their questions. By integrating chatbots into your affiliate marketing strategy, you can automate customer service and increase engagement with potential customers. This can lead to more sales and higher commissions. (Crisp, Intercom). Source: over 1 year ago
I am trying to create an application that will work on a customer's website. Much like tawk.to or intercom.com. Source: almost 2 years ago
My way of doing marketing starts with figuring out what my overall project will (or will not) be. In this case, I looked at the vendors like Zendesk, Intercom, Freshdesk, or Help Scout. They all have whizbang features such as live-chat, collaboration stuffs, automations and workflows. They bill per contact and addons. I’d emphasize a straightforward, fuss-free angle instead. Source: about 2 years ago
I wanted to know the best practices of developing a widget. So I went through the popular implementations of it. I liked Intercom's widget very much. It is written in React. I analyzed how it works. The minimal javascript is loaded async on the webpage. It is injecting an iframe with id intercom-frame. That iframe has a script in it's head with a source URl. Obviously it is React bundle. Source: about 2 years ago
If you're looking at it to guide new users through onboarding, Intercom is pretty good. Source: about 2 years ago
They also have Amazon Forecast with different algos - https://aws.amazon.com/forecast/. - Source: Hacker News / 14 days ago
Generative Artificial Intelligence (GenAI) is a type of artificial intelligence that can generate text, images, or other media using generative models. AWS offers a range of services for building and scaling generative AI applications, including Amazon SageMaker, Amazon Rekognition, AWS DeepRacer, and Amazon Forecast. AWS has also invested in developing foundation models (FMs) for generative AI, which are... - Source: dev.to / 4 months ago
In this reproducible experiment, we compare Amazon Forecast and StatsForecast a python open-source library for statistical methods. Source: over 1 year ago
It sounds like you need something that mostly runs itself, without you necessarily needing to have in-depth knowledge of time series modeling. If you have an AWS account, I'd recommend checking out Amazon Forecast. One of the recommendations I saw in this thread is to run auto.arima in R. That's actually one of the algorithms AWS will run for you, among others. I don't know if it handles differencing and... Source: over 2 years ago
With the help of Amazon Forecast, the forecasting technology at the heart of Amazon.com, it is now possible to build forecasting models for your own applications. - Source: dev.to / about 3 years ago
Zendesk - Zendesk is a beautiful, lightweight help-desk solution.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Freshdesk - Freshdesk is a cloud-based customer support software that lets you support customers through traditional channels like phone and email, social channels like Facebook and Twitter, and your own branded community
machine-learning in Python - Do you want to do machine learning using Python, but you’re having trouble getting started? In this post, you will complete your first machine learning project using Python.
Drift - A messaging app that helps you grow your business.
Google Cloud TPU - Custom-built for machine learning workloads, Cloud TPUs accelerate training and inference at scale.