AI Tools, Apps & Software – The Ultimate List For 2023

I remember the first time I realized just how incredible AI technology could be. It was a hot summer day and I was sitting in my friend's living room, watching in amazement as her Amazon Echo responded flawlessly to every command we gave it.

We asked it to play our favorite songs, tell us the weather forecast, and even order a pizza - and it did it all with ease. It was like having a personal assistant right there in the room with us.

That was the moment I knew that AI was going to change the world as we knew it. And I wasn't wrong - today, AI is being used in everything from healthcare to finance to transportation, and the possibilities for the future are truly endless.

Artificial intelligence is transforming the way we live, work, and play. From chatbots and voice assistants to self-driving cars and smart homes, AI is powering a new wave of innovation across every industry. With so many AI tools, apps, and software available, it can be overwhelming to figure out which ones to use.

In this article, we'll highlight AI tools, apps, and software that you can use in 2023. See here for the full list!

1. IBM Watson: IBM Watson is a cognitive computing platform that uses natural language processing and machine learning algorithms to analyze and interpret data.

2. TensorFlow: TensorFlow is an open-source software library for dataflow and differentiable programming across a range of tasks.

3. PyTorch: PyTorch is a Python-based scientific computing package that uses the power of GPUs to accelerate deep learning tasks.

4. Google Cloud AI Platform: Google Cloud AI Platform provides a managed environment for building and deploying machine learning models.

5. Microsoft Azure AI: Microsoft Azure AI is a set of AI services that allows developers to build intelligent applications.

6. Amazon SageMaker: Amazon SageMaker is a fully managed service that provides developers and data scientists with the ability to build, train, and deploy machine learning models.

7. H2O.ai: H2O.ai is an open-source machine learning platform that allows developers to build and deploy machine learning models.

8. Keras: Keras is an open-source neural network library written in Python that allows developers to build and train deep learning models.

9. Caffe: Caffe is a deep learning framework that allows developers to build and train convolutional neural networks (CNNs) and other deep neural networks.

10. Theano: Theano is a Python library that allows developers to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently.

11. Microsoft Cognitive Services: Microsoft Cognitive Services provides a suite of AI tools and services that developers can use to build intelligent applications.

12. Google Cloud Vision API: Google Cloud Vision API uses machine learning models to analyze images and detect objects, faces, and landmarks.

13. Amazon Rekognition: Amazon Rekognition is an image and video analysis service that can identify objects, people, text, scenes, and activities in images and videos.

14. OpenCV: OpenCV is an open-source computer vision library that allows developers to build real-time computer vision applications.

15. scikit-learn: scikit-learn is a machine learning library for Python that provides simple and efficient tools for data mining and data analysis.

16. RapidMiner: RapidMiner is a platform for data science teams that unites data prep, machine learning, and predictive model deployment.

17. DataRobot: DataRobot is an AI platform that allows organizations to build and deploy machine learning models quickly and easily.

18. KNIME: KNIME is an open-source data analytics platform that allows developers to build and deploy data science workflows.

19. Alteryx: Alteryx is a platform that combines data preparation, data blending, and analytics to automate and simplify the data analytics process.

20. Sisense: Sisense is a business intelligence platform that uses AI to help organizations analyze and visualize complex data.

21. Tableau: Tableau is a data visualization tool that allows organizations to create interactive and dynamic visualizations of their data.

22. QlikView: QlikView is a business intelligence and data analytics platform that allows organizations to create custom dashboards and reports.

23. Power BI: Power BI is a business analytics service by Microsoft that provides interactive visualizations and business intelligence capabilities with an interface simple enough for end users to create their own reports and dashboards.