ML Trends that will be carried out in 2021.



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Machine Learning Trends hat will be carried out in 2021

AI solutions are currently everywhere among which some already seem mundane and the others are sometimes perceived as ‘magic’. AI applications vary from spam detection to sophisticated recommendation systems, from image classification to well-composed text generation, from video object tracking to AI chess engines that can beat the human world champion. From this wide spectrum of branches and applications, we will try to point out some of the most significant ML trends that will be carried out this year.

  1. Language Processing with increasingly bigger NLP models

Last year we saw the emergence of GPT-3 introduced by OpenAI. A single model with 175 billion parameters, a number which a couple of years ago would seem unthinkable can handle texts in many languages and perform a bevy of NLP tasks better than any model done previously. It’s already starting to find use cases in the industry, as well as quite a few startups, believed that use GPT-3 provides promising AI solutions in the field of domain-specific text generation.

2. Federated Learning
With the surge of AI, the need for data increased dramatically and along with that privacy issues are raised more and more frequently and justifiably so. Federated learning allows using of machine learning on edge devices without the data ever coming out of the device. This eliminates the need of having central storage for all of the data and enables the utilization of data generated by billions of smartphones and other edge devices from around the world.

3.MLOps
Similar to how the challenges faced by software development gave birth to DevOps, the unprecedented adoption of AI in the industry now puts MLOps in high demand. MLOps addresses the issues of deployment and maintenance of ML models in production making the processes and pipelines more robust, efficient, and reliable. At Webb Fontaine, we focus strongly on these considerations as well and see the rapid advances in this field from up close.

4. AI-powered automation
Last but not least, Intelligent Automation is going to take an increasingly important role in automating business processes, optimizing organizational flows and drastically reducing human involvement in low-risk decision making. As a consequence, humans will have more time to invest in high-risk cases. At Webb Fontaine, we put this concept into practice with the result of improving both the time and the quality of our products & services.

Artificial Intelligence is already part of many people’s daily lives, however, there still isn’t a universal agreement over acceptable uses. Indeed 2021 looks to be another formative year for the future of Artificially Intelligent programs.

AI/ML

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