Last week I spoke to executives from a large AWS customer and had an opportunity to share aspects of the Amazon culture with them. I was able to talk to them about our Leadership Principles and our Working Backwards model. They asked, as customers often do, about where we see the industry in the next 5 or 10 years. This is a hard question to answer, because about 90% of our product roadmap is driven by requests from our customers. I honestly don’t know where the future will take us, but I do know that it will help our customers to meet their goals and to deliver on their vision.
Magic Quadrant for Cloud AI Developer Services
It is always good to see that our hard work continues to delight our customers, and it is also good to be recognized by Gartner and other leading analysts. Today I am happy to share that AWS has secured the top-right corner of Gartner’s Magic Quadrant for Cloud AI Developer Services, earning highest placement for Ability to Execute and furthest to the right for Completeness of Vision:
You can read the full report to learn more (registration is required).
Keep the Cat Out
As a simple yet powerful example of the power of the AWS AI & ML services, check out Ben Hamm’s DeepLens-powered cat door:
AWS AI & ML Services
Building on top of the AWS compute, storage, networking, security, database, and analytics services, our lineup of AI and ML offerings are designed to serve newcomers, experts, and everyone in-between. Let’s take a look at a few of them:
Amazon SageMaker – Gives developers and data scientists the power to build, train, test, tune, deploy, and manage machine learning models. SageMaker provides a complete set of machine learning components designed to reduce effort, lower costs, and get models into production as quickly as possible:
Amazon Kendra – An accurate and easy-to-use enterprise search service that is powered by machine learning. Kendra makes content from multiple, disparate sources searchable with powerful natural language queries:
Amazon CodeGuru – This service provides automated code reviews and makes recommendations that can improve application performance by identifying the most expensive lines of code. It has been trained on hundreds of thousands of internal Amazon projects and on over 10,000 open source projects on GitHub.
Amazon Textract – This service extracts text and data from scanned documents, going beyond traditional OCR by identifying the contents of fields in forms and information stored in tables. Powered by machine learning, Textract can handle virtually any type of document without the need for manual effort or custom code:
Amazon Personalize – Based on the same technology that is used at Amazon.com, this service provides real-time personalization and recommendations. To learn more, read Amazon Personalize – Real-Time Personalization and Recommendation for Everyone.
Time to Learn
If you are ready to learn more about AI and ML, check out the AWS Ramp-Up Guide for Machine Learning:
You should also take a look at our Classroom Training in Machine Learning and our library of Digital Training in Machine Learning.
Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
Source: AWS News