There are a lot of AI offerings in various stages of maturation.

To help navigate the rich and varied world of AI technology offerings, and to prepare the ground upon which we will discuss new and emerging technologies, NewsBites.AI has prepared a list of some of the products built by the major players in AI at the moment.

If there are some products that you think we have missed out then mention them in the comments section below and we may discuss them in future posts.

Google Cloud AI Platform

This is a platform that lets developers build and train machine learning models on the cloud, using Google’s powerful AI infrastructure. For example, a company could use the Google Cloud AI Platform to build a chatbot that can help customers with their inquiries on their website.

TensorFlow

TensorFlow is an open-source machine learning library developed by Google. It allows developers to build and train machine learning models across a wide variety of tasks. One example of how TensorFlow can be used is in building a machine learning model that can recognize objects in images, such as cars, buildings, or animals.

PyTorch

This is another open-source machine learning library, this one developed by Facebook. It is especially popular for its ease of use and flexibility. An example of how PyTorch can be used is in developing a machine learning model that can predict the weather based on historical data.

Caffe

Caffe is a deep learning framework developed by the Berkeley Vision and Learning Center at the University of California, Berkeley. It is commonly used for image recognition tasks. An example of how Caffe can be used is in building a machine learning model that can recognize faces in photos.

Microsoft Azure Cognitive Services

This is a collection of pre-built APIs that developers can use to add intelligent features to their applications. Examples of these features include natural language processing, computer vision, and speech recognition. One example of how Microsoft Azure Cognitive Services can be used is in building a chatbot that can understand and respond to natural language inquiries.

IBM Watson

This is a collection of AI and machine learning tools developed by IBM. It includes natural language processing, computer vision, and speech recognition capabilities. An example of how IBM Watson can be used is in building a machine learning model that can predict which products a customer is likely to buy based on their browsing and purchasing history.

Amazon SageMaker

This is a machine learning platform developed by Amazon Web Services (AWS). It provides a range of tools and frameworks for building, training, and deploying machine learning models at scale. An example of how Amazon SageMaker can be used is in developing a machine learning model that can predict customer churn for a subscription-based service.

NVIDIA Deep Learning Frameworks

This is a collection of tools and frameworks for building and deploying deep learning models on NVIDIA GPUs. An example of how the NVIDIA Deep Learning SDK can be used is in building a machine learning model that can recognize and categorize different types of animals based on photos or video.

Keras

This is a high-level deep learning API written in Python. It is designed to be easy to use and allows developers to quickly prototype and build deep learning models. An example of how Keras can be used is in building a machine learning model that can predict whether a customer is likely to buy a certain product based on their browsing and purchasing history.

Hugging Facetools for working with them

This is a collection of open-source machine learning libraries and tools developed by Hugging Face. They are designed to make it easier for developers to work with natural language processing and computer vision tasks. An example of how Hugging Face tools can be used is in building a machine learning model that can generate human-like responses in a chatbot.

OpenAI

This is an AI research lab that focuses on developing safe and beneficial AI. They have developed a range of powerful machine learning tools and frameworks, including GPT-3, one of the largest and most advanced language models ever built. An example of how OpenAI can be used is in building a machine learning model that can summarize news articles or scientific papers.

Google Dialogflow

Google Dialogflow is a platform for creating conversational chatbots and voice assistants. Developers can use it to build chatbots that can understand natural language and provide helpful responses to users. An example of a chatbot built with Dialogflow is the “Sesame Street” chatbot that helps kids learn new words and play games.

IBM Watson Assistant

IBM Watson Assistant is a platform for building AI-powered chatbots and virtual assistants. It uses natural language processing to understand user input and subsequently provide helpful responses. An example of a virtual assistant built with Watson Assistant is the “Melia” chatbot used by the Spanish hotel chain Melia Hotels International to assist guests with their bookings and travel plans.

Amazon Alexa

Amazon Alexa is a virtual assistant developed by Amazon that can respond to voice commands and perform a variety of tasks. It can control smart home devices, play music, answer questions, and more. An example of using Alexa is asking it to turn off the lights or to set a reminder.

Google Assistant

Google Assistant is Google’s virtual assistant that can understand voice commands and perform a variety of tasks. It can play music, provide weather forecasts, and answer questions, among other things. An example of using Google Assistant is asking it to tell you a joke or to set a timer.

Apple Siri

Apple Siri is a virtual assistant developed by Apple that can respond to voice commands and perform tasks on Apple devices. It can make calls, send messages, and set reminders, among other things. An example of using Siri is asking it to find directions to a specific location.

Microsoft Cortana

Microsoft Cortana is a virtual assistant developed by Microsoft that can understand voice commands and perform tasks on Windows devices. It can answer questions, set reminders, and manage your calendar, among other things. An example of using Cortana is asking it to play your favorite music.

Alibaba Cloud

Alibaba Cloud is a cloud computing platform developed by Alibaba Group. It provides a range of services, including hosting, storage, and data analytics. An example of using Alibaba Cloud is deploying a website or application on the platform.

Baidu AI

Baidu AI is an artificial intelligence platform developed by Baidu, a Chinese technology company. It includes a range of tools for natural language processing, image recognition, and more. An example of using Baidu AI is building a chatbot that can understand Chinese language.

Salesforce Einstein

Salesforce Einstein is an AI-powered platform for customer relationship management (CRM). It can provide insights into customer behavior, make predictions, and automate tasks. An example of using Salesforce Einstein is analyzing customer data to make personalized product recommendations.