In-Demand Skills for AI Professionals: Plainsight CEO Shares Insights

The workforce is growing rapidly as organizations continue to embark on digital transformations in hopes of outpacing competitors and adapting to thrive in a changing world. Professionals versed in tech topics like artificial intelligence and machine learning are in especially high demand. A recent Gartner report found that total AI-generated revenue increased by more than 14% between 2020 and 2021. Experts predict even more revenue growth (over 21%) in the year ahead.

In-Demand Skills: AI and ML Professionals

How can professionals set themselves apart in a crowded talent marketplace? How can businesses recognize truly world-class applicants? The professional development experts at Great Learning asked AI executives to answer these questions in their latest roundup article. 

Among the experts surveyed is Carlos Anchia, CEO and Co-Founder of Plainsight. He suggests that subject matter expertise is as important as ever, but that those “soft skills” that make us uniquely human are becoming more and more crucial. Even in a high-tech, high-complexity field, there’s often no substitute for a quality like persistence.

While technical skills will always prove important, intangibles like these can often make the difference between two equally-skilled candidates.

      – Carlos Anchia

Check out the full list of skills from Anchia and more than a dozen additional AI and machine learning thought leaders. From technical skills like programming languages to intangibles like creativity and emotional intelligence, they discuss the full range of attributes that make for success in AI. Whether you’re looking to stand apart as an applicant or recognize a top-notch candidate, the guide should help you better understand what excellence in AI looks like.

More AI Insights from Plainsight

Anchia recently sat down with Alldus for the latest episode of their ‘AI in Action’ podcast. Check out the episode below to learn more about hiring top-notch AI professionals and how Plainsight works to democratize vision AI. 

More Plainsight Blog Posts:

SmartML: Train Vision AI Models with One Click

SmartML: Train Vision AI Models with One Click

SmartML is Plainsight’s proprietary model training toolset. It is at the heart of Plainsight’s promise to make vision AI’s impressive capabilities more accessible to users of all experience levels and enterprises of all types. Thanks to SmartML, Plainsight users can use their labeled datasets to train vision AI models without the need for a single line of code.

TrackForward: Faster Frame-by-Frame Video Labeling

TrackForward: Faster Frame-by-Frame Video Labeling

TrackForward is a Plainsight AI-powered labeling feature that can dramatically reduce the time and effort required for labeling video data. Using AI, TrackForward analyzes the labels in one frame of a video to predictively label objects in subsequent frames. By labeling an object with either a Bounding Box or Polygon and selecting the TrackForward tool, Plainsight users can quickly generate labels automatically for desired objects across entire videos.

Computer Vision and Retail’s Digital Transformation

Computer Vision and Retail’s Digital Transformation

When it comes to digital transformation, retailers are no longer asking, “What if?” They’re saying the time is now. For the retail industry in particular, integrating vision AI applications into traditional store operations can open up a world of fresh insights that empower better decision making.