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AWS Announces 10 New AI Features at AWS re:Invent 2022

At AWS re:Invent 2022, Amazon Web Services (AWS) announced 10 new features to its portfolio of AI services, and is excited to expand its offerings to more than 100,000 customers who currently rely on AWS for AI and ML initiatives. Please see below for a high-level overview of these new features.

The Anyscale Platform™, built on Ray, Introduces New Breakthroughs in AI Development, Experimentation and AI Scaling

Anyscale, the company behind Ray open source, the unified compute framework for scaling any machine learning or Python workload, announced several new advancements on the Anyscale Platform™ at AWS re:Invent in Las Vegas, NV. The new capabilities extend beyond the advantages of Ray open source to make AI/ML and Python workload development, experimentation, and scaling even easier for developers.

AWS Celebrates 5 Years of Innovation with Amazon SageMaker

In just 5 years, tens of thousands of customers have tapped Amazon SageMaker to create millions of models, train models with billions of parameters, and generate hundreds of billions of monthly predictions. The seeds of a machine learning (ML) paradigm shift were there for decades, but with the ready availability of virtually infinite compute capacity, […]

Surging to the Front of the Cloud Race: The S3 API and Object Storage

In this contributed article, editorial consultant Jelani Harper discusses object storage, the S3 protocol, and contemporary cloud developments. The competition for supremacy in the public cloud computing marketplace is one of the most eagerly watched contests throughout the data landscape. With AWS, Google, and Azure all vying with one another to offer the most advantageous services for what’s only a broadening user base, there’s no scarcity of innovations as they attempt to outmatch one another for customer patronage and loyalty.

eBook: 101 Ways to Use Third-Party Data to Make Smarter Decisions

To guide you in becoming a data-driven organization, AWS Data Exchange has created a new eBook, 101 Ways to Use Third-Party Data to Make Smarter Decisions. This innovative resource is designed as a broad compilation of use cases submitted by AWS Marketplace data providers.

Webinar: How to Achieve Faster Time to Insight with Third-party Financial Services Data

[SPONSORED POST] Join this webinar to learn how companies consume financial exchange data natively through AWS Data Exchange to make consumption and analysis more efficient, agile, and accessible. Hear from FactSet leadership about the company’s strategic choice to bring their data to the cloud ensuring customers can effectively and efficiently use their data to succeed.

AWS Announces General Availability of Amazon EC2 DL1 Instances

Amazon Web Services, Inc. (AWS), an Amazon.com, Inc. company (NASDAQ: AMZN), announced general availability of Amazon Elastic Compute Cloud (Amazon EC2) DL1 instances, a new instance type designed for training machine learning models. DL1 instances are powered by Gaudi accelerators from Habana Labs (an Intel company) to provide up to 40% better price performance for training machine learning models than the latest GPU-powered Amazon EC2 instances.

Webinar: How to Build Customer-oriented Applications Using Third-party Data

[SPONSORED POST] Join this webinar to learn how using third-party data enhances applications to better prioritize your target customer. Thought leaders from Foursquare and NextDoor will present real-world examples on leveraging datasets to create a customer-centric strategy and improve business outcomes.

Webinar: How to Use External Consumer Insights and Marketing Data to Build a Customer-centric Business

[SPONSORED CONTENT] In this virtual session, AWS Data Exchange will host a discussion with thought leaders from companies such as Acxiom and BlastPoint. They will share how organizations from big box retailers to automotive brands are using consumer insights data to reach new customers, drive real business change, and increase longevity. MON, SEPTEMBER 27 at 11AM PT | 2PM ET

eBook: A Practical Guide to Using Third-Party Data in the Cloud

[Sponsored Post] To help you navigate a proliferating data landscape, AWS Data Exchange would like to present you with a copy of the new eBook, “A Practical Guide to Using Third-Party Data in the Cloud.” Learn how innovative teams are shifting their focus from data-driven business intelligence to accelerating insight-driven decision-making and now are turning to third-party datasets as a differentiator.