Watch the Content

First Name
Last Name
Phone Number
Company Name
Job Title
Job Role
Company Size
Company Type
Level of AWS Usage
This information is associated with my:
Yes, I'd like Amazon Web Services (AWS) to share the latest news about AWS services and related offerings with me by email, post or telephone.

You may unsubscribe from receiving AWS news and offers at any time by following the instructions in the communications received. AWS handles your information as described in the AWS Privacy Notice.
Thank you!
Error - something went wrong!

Transform Your Workforce With Skills for Machine Learning

October 21, 2020

Build skills to enable machine learning

Leaders seeking to implement machine learning in the enterprise, and glean real business value from this area of artificial intelligence (AI), are confronting the reality of a skills gap: There’s a shortage of qualified talent. According to an Accenture survey on the future workforce, 67% of workers consider it important to develop their own skills to work with intelligent machines. Yet only 3% of business leaders are planning significant increases in their training and re-skilling programs to meet the skills challenge posed by AI.

Many businesses bridge the machine learning skills gap by acquiring expertise from outside the company — through new hires, partnerships, or acquisitions. But they overlook a more obvious answer: upskilling their current workforce.

Upskilling is essential to preparing a workforce for machine learning’s continued march into the mainstream.

Previous Video
Shift your ML model into overdrive with AWS DeepRacer analysis tools
Shift your ML model into overdrive with AWS DeepRacer analysis tools

Make your way from the middle of the pack to the top of the AWS DeepRacer podium. Once you have built your ...

Next Flipbook
Implementing AI: From Exploration to Execution
Implementing AI: From Exploration to Execution

Explore AI uses cases and best practices