Popular AI Software Products in 2023

AI software is a type of computer software that enables the adoption of Artificial Intelligence (AI) to process large amounts of data to solve tasks that otherwise require human intelligence. Such tasks include image recognition, video analytics, voice recognition, text recognition, and NLP. The strategic importance of AI technology is growing exponentially across industries. Many businesses are exploring and investing in AI solutions to stay competitive. Late movers are at risk of falling behind their competitors in terms of technological adoption and innovation. This is because AI has the ability to automate tasks and processes that would otherwise not be possible or carried out by humans. As a result, businesses that don’t adopt AI will lose out on cost efficiencies, productivity advantages, and product or service quality.

The Top AI Software in 2023 Software 

1: Viso Suite Platform Software 

2: ChatGPT Software Software 

3: Jupyter Notebooks Software 

4: Google Cloud AI Platform Software 

5: Azure Machine Learning Studio

1. Viso Suite Platform 

Viso Suite is the world’s only end-to-end computer vision application platform. The solution provides software infrastructure to develop, deploy, scale, and secure AI vision applications (Get the Whitepaper). Some of the largest companies in the world use the Viso platform to deliver and maintain their portfolio of computer vision applications. Find case studies, AI projects, and industry solutions here. Viso Suite lets you unify infrastructure for all computer vision projects, to avoid purchasing and integrating point solutions for each project. The platform integrates enterprise AI products for the entire lifecycle: Data collection, image annotation, model training, application development, deployment, configuration, and monitoring (see all features).

The Viso platform provides revolutionary no-code and low-code tools, the visual programming follows a modular “build once – deploy anywhere” approach. Teams can rapidly build custom applications, integrate existing cameras, and always use the latest algorithms (e.g., YOLOv7). Viso Suite enables organizations to solve the challenges of scaling computer vision. It provides the device management, privacy/security capabilities, remote monitoring, and configuration management needed to operate AI vision at a large scale. To evaluate Viso Suite for your organization, request a demo here. There are different Viso Suite Editions – with unlimited users, camera streams, and computer vision applications included. And there are service packages, from on-demand assistance to full Computer-Vision-as-a-Service.  

2. ChatGPT 

ChatGPT is a large language model chatbot developed by OpenAI that is able to interact in conversational dialogue form and provide responses that can appear surprisingly human (read more about Natural Language Processing, NLP). It 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. Additionally, ChatGPT was trained using human feedback, a technique called Reinforcement Learning with Human Feedback, so that the AI learned what humans expected when they asked a question. ChatGPT is a hugely successful tool, with over one million users only weeks after launch. However, major companies such as JPMorgan Chase, Amazon, Verizon, and Accenture have barred staff from using the AI chatbot, some even blocked it entirely. An important limitation is that because ChatGPT is trained to provide answers that feel right to humans, the answers can trick humans that the output is correct. Hence, the responses may be factually wrong and deceiving. Moreover, some organizations are concerned that employees may share sensitive or confidential information. The ChatGPT tool can be used for free, you can start here. In January 2023, OpenAI added a paid version that responds faster and keeps working even during peak usage times when free users get messages saying, “ChatGPT is at capacity right now.” OpenAI has announced a subscription service for ChatGPT, the conversational AI chatbot that answers follow-up questions and challenges assumptions. The ChatGPT Plus service costs $20 per month and offers faster response times, general access to ChatGPT, and priority access to new features and improvements. The company is exploring options for business plans, and data packs to increase availability.

3. Jupyter Notebooks 

Jupyter notebooks are a powerful open-source software tool for code-first users to write and run computer code. The name “Jupyter” is a reference to the three core programming languages supported by Jupyter: Julia, Python, and R. Notebooks are easy to use: you can run code cells and see the output without having to write any extra code. Hence, Jupyter Notebooks are popularly used for AI applications, data exploration, prototyping algorithms, vision pipelines, and developing machine learning models across the enterprise. As one of the most popular AI software, notebooks enable organizations to establish a unified environment that provides a powerful and code-first experience for data scientists. This is important because most data scientists collaborate in teams of 10 or more specialists, each with their own preference and expertise in tools and frameworks. In January 2023, the Jupyter extension for Visual Studio Code was downloaded more than 53 Mio times, making it the second-most popular extension in the VS Code Marketplace. The largest cloud computing providers use Jupyter Notebook or a modified variant as a frontend interface as part of their products, such as Amazon SageMaker Notebooks, Microsoft Azure Notebook, or the Google Colaboratory (Google Colab Notebooks). Other ML software platforms, such as DataRobot, offer integrated and pre-built notebooks.

The computer vision platform Viso Suite provides notebooks for end-to-end model training automation. For personal use or testing, you find the open-source version of JupyterLab Notebook here or try it directly in your browser without installing anything.

4. Google Cloud AI Platform 

With Google Cloud AI, you get a set of different machine learning tools. For companies that decided to build their platform on Google Cloud (GCP), it is a popular platform for scientists and developers. The AI software tools of Google Cloud allow developers to work on machine learning projects in a time-saving and cost-effective way. You can access various pre-trained cloud APIs to build ML applications related to computer vision, translation, natural language, video, etc. Google Cloud supports almost all commonly supported open-source frameworks, including PyTorch, TensorFlow, and scikit-learn. Update: Google Cloud is shutting down its IoT platform, limiting Edge AI/Edge ML capabilities. As of August 15, 2023, Google Cloud IoT Core service will no longer be available. This means that users will not be able to access the Device Manager API’s. The Google Cloud platform provides a free trial for new users, post which you have to pay an hourly rate that varies according to the region and operation you choose.  

5. Azure Machine Learning Studio 

The Azure Machine Learning Studio allows you to create and deploy robust ML models easily to the Azure Cloud with the help of several available tools. It supports several open-source frameworks and languages, including TensorFlow, PyTorch, Python, R, and others. The Microsoft AI software platform is suitable for a range of users with different skill levels, including developers and scientists. If you decide to stay on Microsoft Azure, the ML studio is a great option to evaluate. You need to create a free account on the platform to access the features. While a set of services is free to start, some services require a subscription-based account upgrade.