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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
Download the full research guidebook to learn why:
- The number of deep learning projects currently in development has more than doubled
- 96% of deep learning projects are running in the cloud
- 89% of cloud-hosted deep learning projects are using AWS
You’ll also learn why so many companies use AWS to power their deep learning and machine learning initiatives. With its breadth of capabilities, end-to-end support, and commitment to continued investments, AWS is the cloud platform of choice for deep learning.
Can't wait to embark on your Machine Learning journey? Schedule a consultation with AWS team, or simply send your inquiry to [email protected].
