AI and Machine Learning Tools To Keep An Eye On In 2022
Let’s face it, Artificial Intelligence (AI) and Machine Learning (ML) are the technology of the future. We are increasingly relying on these technologies to perform everyday tasks like making purchases and controlling our breathing. With the growing potential, these tools carry, many entrepreneurs, startups, and major companies are making their own products and services to leverage the power of AI and ML.
Looking ahead, 2022 is beginning to look like a major year for the AI and ML industry. With rapidly developing technology, and an increasing number of startups looking to make a mark, the industry is going to be seeing a lot of movement. From programs helping out with customer service to tools for data processing, AI and ML tools are becoming more commonplace.
Here is a list of the top AI and ML tools to keep an eye out for in the upcoming year:
1. Machine Learning Platforms
Machine learning platforms are becoming more popular day by day. They are important tools for businesses to understand the data they generate and identify patterns to improve their operations. Machine learning platforms like Microsoft Azure ML and Amazon ML provide pre-made algorithms as well as a customizable setup to build your own machine learning infrastructure.
2. Natural Language Processing (NLP) Tools
Natural language processing (NLP) tools have become ingrained in our daily lives. Virtual assistant bots powered by AI and machine learning are helping with customer service and providing business insights. Some of the top NLP tools include Google’s Dialogflow, Amazon Lex, and Microsoft Bot Framework.
3. Autonomous Vehicles Tools
Autonomous vehicles (AV) are powered by a combination of sensors, AI, and machine learning. Startups like Zoomcar or Aptiv are using AI to develop self-driving cars. Autonomous vehicles tools like NVIDIA DRIVENET and Mobileye are becoming increasingly popular hard to keep up with industry standards.
4. Face Recognition Tools
Face recognition is a popular application of AI and ML. From smart locks to facial recognition systems, facial recognition tools are becoming more prevalent. Companies like Kairos and Ayonix are leading the way in developing AI solutions that make facial recognition more robust and accurate.
5. Chatbot Tools
Chatbot tools are invaluable in providing customer service and performing menial tasks like data entry and processing. Integrating AI and ML into chatbot tools have made them smarter and more reliable. Some well-known chatbot tools include IBM Watson Conversation and Botkit.
Conclusion
As AI and ML are becoming increasingly commonplace, the tools associated with these technologies are growing in number and sophistication. While these tools may not be available until 2022, keeping a close eye on these developments can help businesses stay ahead of the curve and leverage the potential of AI and ML. It’s important for businesses to stay current with these tools, as AI and ML are becoming too powerful for businesses to ignore.
