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CLARA analytics 2020 Predictions: AI Continues to Mature in 2020

VMblog Predictions 2020 

Industry executives and experts share their predictions for 2020.  Read them in this 12th annual VMblog.com series exclusive.

By Ji Li, Director of Data Science, CLARA analytics

AI Continues to Mature in 2020

AI-based technologies reached a new level of adoption in 2019 as businesses learned more about what exactly AI could do for them. 2020 promises to be even more exciting, with AI systems continuing to mature and companies extending usage to address highly specialized needs.

Here are a couple of my top predictions for AI in 2020:

Transfer Learning Becomes More Prevalent

Transfer learning, in which machine learning algorithms improve based on exposure to other algorithms, will become a more widely used technique in 2020. To date, it has been leveraged primarily with image processing, but we will see transfer learning applied to areas like text mining continue to improve.

The benefit of transfer learning is that a wider range of industries will be able to utilize AI to create highly specific applications based on small data. As less large data is required, organizations can create state-of-the-art solutions that are faster, more accurate, and better tailored to their specific needs.

Demand Will Rise for AI as a Service

Traditionally, machine learning models have not been straightforward to deploy for data scientists and engineers. This will change in the coming year as AI is delivered more like a service. AI models will be executed in cheaper, easier ways in the cloud.

This is a significant development on multiple fronts. By shifting to serverless deployment in the cloud, a machine learning model does not consume the same amount of computing resources as on a server. This results in a much different level of efficiency. This in and of itself will make AI as a service more popular. Moving AI to the cloud also positively influences the delivery model. Instead of coming in the form of a very heavy solution, an API can be created and shared.

AI and machine learning are advancing at a rapid pace, and companies are both eager and nervous to pull the trigger on new solutions. But the current momentum behind AI will continue to drive innovation in years to come.

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About the Author

Ji Li 

Ji Li, Ph.D., data science director at CLARA analytics, has leadership responsibility for organizing and directing the CLARA data science team in building optimized machine learning solutions, creating artificial intelligence applications, and driving innovation. Dr. Li is well-published in fields related to computational theory and big data applications. His specific expertise and interests include machine learning, deep learning, text mining, and natural language processing and understanding. Dr. Li received his Ph.D. in mathematics from the University of Connecticut.

Published Tuesday, December 03, 2019 7:24 AM by David Marshall
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