×

Watch the Content

First Name
Last Name
Country
Phone Number
Company Name
Job Title
Job Role
Industry
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!
   

Research Guidebook: Deep Learning on AWS

October 21, 2020

Nucleus Research Guidebook: Deep Learning on AWS

Deep learning and machine learning are finally moving out of the IT classroom and into the executive boardroom. Thanks to the flexibility offered by cloud vendors like AWS, these technologies can at last be leveraged by businesses of every shape and size.

To understand the state of deep learning adoption and usage today, as well as how it has changed since last year’s report (Nucleus Research s180 – Guidebook: TensorFlow on AWS –November 2018), Nucleus conducted interviews and analyzed the experiences across 316 unique projects. Read this research guidebook to see how your business can start using deep learning and ML today to create new business value such as:

  • Forging stronger customer relationships through voice recognition
  • Improving upsell and resell through recommendation engines
  • Putting time back in customer service reps’ days with sentiment analysis in chatbots
Previous Flipbook
Implementing AI: From Exploration to Execution
Implementing AI: From Exploration to Execution

Explore AI uses cases and best practices

Next Flipbook
The total cost of ownership (TCO) of Amazon SageMaker
The total cost of ownership (TCO) of Amazon SageMaker

TCO for machine learning over 3 years is 54% lower with Amazon SageMaker