March 1, 2021 Author: Matthew Renze

Just a few years ago, adding AI to your products or services required a team of data scientists, volumes of data, and a bunch of computers.

Today, however, adding AI to your applications requires just a few lines of code, or — in many cases — no code at all.

Unfortunately, most software developers, IT professionals, and product managers have not yet learned how to leverage these new easy-to-use AI tools and techniques.

In this upcoming series of articles, I’m going to introduce you to several of the most popular AI tools that are now available in the modern AI developer’s toolkit.

We’re talking about easy-to-use off-the-shelf AI tools that can solve a variety of business problems across a wide array of applications.

Over the next six months, I’ll be releasing one new article every two weeks to introduce you to each of the types of AI tools listed below.


AI for Tables

  • Table Analysis – classification, regression, and recommendation
  • Table Synthesis – data imputation, data generation, and data transformation (Coming April 15)

AI for Text

  • Text Analysis – text classification, sentiment analysis, and entity recognition (Coming May 1)
  • Text Synthesis – text completion, text generation, and language translation (Coming May 15)

AI for Audio

  • Audio Analysis – sound classification, speaker recognition, and speech recognition (Coming June 1)
  • Audio Synthesis – speech synthesis, voice synthesis, and speech translation (Coming June 15)

AI for Images

  • Image Analysis – image classification, object detection, and face recognition (Coming July 1)
  • Image Synthesis – image completion, image generation, and image style transfer (Coming July 15)

AI for Video

  • Video Analysis – motion detection, object tracking, and action recognition (Coming Aug 1)
  • Video Synthesis – video interpolation, video prediction, and video-to-video transfer (Coming Aug 15)

AI in Practice

  • AI for Apps – creating module AI applications and end-to-end AI applications (Coming Sep 1)
  • AI for Systems – creating cyber-physical systems like robots and self-driving cars (Coming Sep 15)


If you’d like to learn how to use all of the tools listed above, please see my online course: The AI Developer’s Toolkit.

The future belongs who those who invest in AI today. Don’t get left behind!

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