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When Dr. Swami Sivasubramanian, VP of AI and Data, interned at Amazon in 2005, his first manager was Dr. Werner Vogels, Amazon’s CTO. Nineteen years later, the two sat down at the VivaTech conference to look back on Amazon’s history of innovation, from pioneering pay-as-you-go models with Amazon Web Services (AWS), to using “good old-fashioned AI” to transform customer experiences, and what keeps them up at night in the age of generative artificial intelligence (GAI).
When asked if competitors ever kept him up at night, Dr. Werner argued that listening to customer needs—such as guardrails, security, and privacy—and building products around those needs is what drives Amazon’s success. Dr. Swami said he sees Amazon SageMaker and Amazon Bedrock as examples of successful products that have emerged as a result of a customer-centric approach. “If you chase your competitors, you’ll end up building what your competitors are building,” he added. “If you actually listen to your customers, you’ll actually lead innovation.” Visit the AWS Careers blog to learn more about four lessons on customer-centric innovation.
For example, for customer-centric security, we build and use Mithra, a powerful neural network model for detecting and responding to cyber threats. The model analyzes up to 200 trillion Internet domain requests per day across the AWS global network, identifying an average of 182,000 new malicious domains with incredible accuracy. Mithra is just one example of how AWS uses global scale, advanced artificial intelligence and machine learning (AI/ML) technologies, and relentless innovation to lead the way in cloud security and make the Internet safer for everyone. For more information, see How AWS tracks the cloud’s largest security threats and helps shutdown, a blog post by Amazon CJ Moses, Chief Information Security Officer.
Released last week
Here are some releases that caught my attention:
Amazon Titan Image Generator v2 from Amazon Bedrock – The new Amazon Titan Image Generator v2 model lets you guide image creation using text prompts and reference images, control the color palette of the generated images, remove backgrounds, and customize the model to maintain brand style and subject matter consistency. For more information, visit my blog post, Amazon Titan Image Generator v2 is now available on Amazon Bedrock.
Regional Extension of Anthropic’s Claude Model in Amazon Bedrock – Anthropic’s latest high-performance AI model, Claude 3.5 Sonnet, is now available on Amazon Bedrock in the US West (Oregon), Europe (Frankfurt), Asia Pacific (Tokyo), and Asia Pacific (Singapore) Regions. Anthropic’s compact and affordable AI model, Claude 3 Haiku, is now available on Amazon Bedrock in the Asia Pacific (Tokyo) and Asia Pacific (Singapore) Regions.
Assign private IPv6 addresses to VPCs and subnets – You can now use Amazon VPC IP Address Manager (IPAM) to specify private IPv6 addresses for your VPCs and subnets. Within IPAM, you can configure private IPv6 addresses from private ranges, provision unique local IPv6 unicast addresses (ULAs) and global unicast addresses (GUAs), and use them to create VPCs and subnets for private access. For more information, see Understanding IPv6 Addressing in AWS and Designing a Scalable Addressing Plan and the VPC documentation.
Up to 30 GiB/s read throughput on Amazon EFS – Amazon EFS scales the simple, fully elastic, provisioning-free Amazon EFS environment to support throughput-intensive AI and ML workloads for model training, inference, financial analytics, and genomic data analysis, with read throughput up to 30 GiB/s.
Large-Scale Language Models (LLMs) in Amazon Redshift ML – You can use pre-trained public LLMs in Amazon SageMaker JumpStart as part of Amazon Redshift ML. For example, you can use LLMs to summarize feedback, perform entity extraction, and perform sentiment analysis on data in Amazon Redshift tables, bringing the power of generative AI to your data warehouse.
Data products from Amazon DataZone – You can create data products in Amazon DataZone, which allow you to group your data assets into well-defined, self-contained packages tailored to specific business use cases. For example, a marketing analytics data product might bundle various data assets, such as marketing campaign data, pipeline data, and customer data. For more information, see this AWS Big Data blog post.
To see everything announced by AWS, check out the What’s New page at AWS.
Other AWS News
Here are some additional news articles that you might find interesting:
Jeff Barr’s AWS Goodies – Want to know more interesting news about AWS? Jeff Barr is always in catch-up mode and does his best to share all the interesting things he finds or is shared with. You can see his good stuff once a week. Follow his LinkedIn page.
AWS and Multicloud – You may have missed this great article on AWS’s existing capabilities and ongoing improvements in multicloud environments. In this post, Jeff covers AWS’s approach to multicloud, provides some real-world examples, and reviews some of the latest multicloud and hybrid capabilities found across the AWS service lineup.
Code Conversion for Amazon Q Developer – At Amazon, we asked a small team to use the Amazon Q Developer Agent to help migrate over 30,000 production applications from previous versions of Java to Java 17. By automating these upgrades using Amazon Q Developer, the team saved over a year of effort across 4,500 developers, compared to the time required to perform all the upgrades manually, and by moving to the latest version of Java, the company saved $260 million annually.
Contribute to AWS CDK – AWS Cloud Development Kit (AWS CDK) is an open source software development framework for modeling and provisioning cloud application resources using familiar programming languages. Contributing to AWS CDK not only deepens your knowledge of AWS services, but also gives back to the community and improves the tools they rely on.
Upcoming AWS Events
Check out the schedule and register for the next AWS event.
AWS re:Invent 2024 – Explore the Round 1 Session Catalog. Explore all the learning opportunities at AWS re:Invent this year and start planning your schedule today. You’ll find a session for every interest and learning style.
AWS Innovation Migrate, Modernize, Build – Learn proven strategies and practical steps to effectively migrate workloads to the AWS Cloud, modernize applications, and build cloud-native and AI-enabled solutions. Don’t miss this opportunity to learn from experts and unleash the full potential of AWS. Register now. Asia Pacific, Korea, Japan (September 26).
AWS Summit – The 2024 AWS Summit season is almost over! Join the cloud computing community for free online and in-person events to connect, collaborate, and learn about AWS. Register for the city nearest you: São Paulo (August 15), Jakarta (September 5), and Toronto (September 11).
AWS Community Day – Join us for a community-led conference featuring technical talks, workshops, and hands-on labs led by AWS user experts and industry leaders from around the world: New Zealand (August 15), Colombia (August 24), New York (August 28), Belfast (September 6), and the Bay Area (September 13).
AWS GenAI Loft – Meet AWS AI experts and attend talks, workshops, fireside chats, and Q&As with industry leaders. All lofts are free and carefully curated to provide something for everyone to accelerate their AI journey. Lofts are coming to San Francisco (August 14 – September 27), São Paulo (September 2 – November 20), London (September 30 – October 25), Paris (October 8 – November 25), and Seoul (November).
Find all upcoming offline and online events.
That’s it for this week. Check back next Monday for a weekly recap!
— Chani
This post is part of our Weekly Summary Series. Get a quick recap of exciting news and announcements from AWS each week!
