Top 10 AI Software Products You Should be Aware of in 2023

Top 10 AI Software Products You Should be Aware of in 2023

The top 10 AI software products you should be aware of in 2023 have transformed businesses

Gone are the days when we used to worry about tedious tasks to be implemented. Now that artificial intelligence is in place, there's absolutely nothing much to worry about. AI has transformed businesses in the best possible manner. As time passed by, businesses have created numerous AI solutions using a variety of software. In this article, we will talk about the top 10 AI software products you should be aware of in 2023. Have a look!

Viso Suite Platform

Viso Suite is the world's only end-to-end computer vision application platform. It provides the software infrastructure to develop, deploy, scale, and secure AI vision applications. It is because of these capabilities that a good number of large companies in the world use the Viso platform to deliver and maintain their portfolio of computer vision applications. You definitely cannot miss out on this AI software product.

IBM Watson

Watson, a highly regarded artificial intelligence software designed by IBM, is yet another amazing product that one should be aware of. Watson boasts of a set of pre-built applications and tools to build, run, and manage your AI while observing and recording your data to predict and shape potential outcomes. Watson would allow you to focus on creative, higher-quality work without being brought down by the monotony of data entry.

ChatGPT

ChatGPT got quite popular these days. This is a large language model chatbot developed by OpenAI that stands the ability to interact in conversational dialogue form and provide responses that can appear as good as that of a human. This bot was trained on massive amounts of data about code and information from the internet, including sources like Reddit discussions, to help ChatGPT learn dialogue and attain a human style of responding.

Google Cloud AI Platform

This platform is quite famous among scientists, developers, and those companies that decided to build their platform on Google Cloud (GCP). The platform helps you get a set of different machine-learning tools. The developers tend to get benefitted a lot from this platform as they work on machine learning projects in a time-saving and cost-effective way.

Salesforce Einstein

Salesforce Einstein is yet another analytics AI platform for Customer Relationship Management. This platform allows businesses to build AI-powered applications for their customers or employees. Additionally, it also allows you to build predictive models related to machine learning, natural language processing, and computer vision. How amazing is that?

Observe.AI

Observe.AI, a call-analysis platform, is well-known in the market to help businesses transcribe calls and use automated speech recognition to improve performance in real-time. What's worth a mention is the fact that the automation tools are user-friendly and support both English and Spanish languages. It further enables businesses and organizations to analyze calls using the most up-to-date speech and natural language processing technologies effectively.

Jupyter Notebooks

As known to many, Jupyter notebooks are a powerful open-source software tool for code-first users to write and run computer code. If wondering what is the significance of the term – Jupyter, then here's the answer – the name "Jupyter" is a reference to the three core programming languages supported by Jupyter: Julia, Python, and R. The Notebooks are extremely easy to use: you can run code cells and see the output without having to write any extra code.

Azure Machine Learning Studio

This AI software product allows you to create and deploy robust ML models easily to the Azure Cloud with the help of several available tools. This platform supports several open-source frameworks and languages, including TensorFlow, PyTorch, Python, R, and others. What deserves special mention is the fact that this platform is suitable for a range of users with different skill levels, including developers and scientists.

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