Applied AI Skills March Ahead in Data Science
- Career

Applied AI Skills March Ahead in Data Science

Applied AI Machine Learning is a novel approach to improving how organizations use machine automation and deep learning techniques to deliver better customer experience across their value chain. In recent times, a majority of AI service providers are demonstrating highly advanced capabilities in Applied AI. These mostly include working with deep experience and expertise in Automated Machine Learning (AutoML) in IT-based AIOps departments. There is so much happening in the Applied AI machine learning field that it would take tons of resources for analysts to accurately evaluate how various users take advantage of this novel capability for their various intelligence-driven processes.

In this article, I have highlighted some of the modern applications of Applied AI and ML functions for creating, automating, and managing various AI ML workflows.

Manufacturing IoT

We all know the power of the internet and the connected devices in our lives. But, we are yet to understand their role in the manufacturing industry fully. AI experts believe the Manufacturing industry, especially the industrial automation product innovation companies, could benefit from applying applied AI in designing and engineering workflows. From using 3D robots to automating prototype developments, manufacturing IoT helps optimize the entire supply chain for manufacturing and commerce.

Deep Learning

Deep learning, often referred to as a subset of machine learning applications, is a fast-growing space in the modern AI development industry. Countless organizations and research units work specifically on deep learning projects to simulate human behavior and cognitive intelligence capabilities. One of the key applications is “Neural Networking” and “Text Analytics,” used extensively in translation services. These applied AI Models are built on the concept of rule-based programming and trained to perform a variety of tasks ranging from computer vision recognition, text analysis, machine translation, social network monitoring and filtering, video game rendition, and so on.

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If you are pursuing an Applied AI machine learning course, doing a project in Deep Learning development can add major points to your recognition as a highly trained AI programmer.

AR VR + Mixed Reality

If you follow the e-gaming industry closely, you will realize how smoothly the new age game development companies have taken to Applied AI to build highly personalized and realistic gaming platforms. In the media and entertainment segment, we see a rampant adoption of Augmented Reality and Virtual Reality mixed with advanced concepts of Applied AI. AI developers use advanced holographic projections to create protagonists on the screen to match the gestures and environment of the gamer/player.

You will find similar examples from the in-car experience, healthcare, and education industries.

Applied AI Skills March Ahead in Data Science

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About Alen Parker

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