No. of Recommendations: 3
Amazon delivered blowout earnings today, sending the stock soaring 7% after hours. Among other superlative numbers, AWS, the #1 cloud provider, hit an annualized revenue run rate of almost $100 billion. Although that's a humongous number, it's still a fraction of the total potential global spend related to migrating to the cloud over the next decade.
I've summarized the key numbers from the earnings call at the AMZN board here at
https://www.shrewdm.com/MB?pid=108113172 In this post, I'm focusing again on AI, which is probably THE single most important macro-economic trend for the next 10 years. (Goldman Sachs estimates that a 10-year widespread adoption of AI could raise global GDP by nearly $7 trillion, and contribute 1.5% to annual productivity growth.)
Amazon had announced its own AI services at re:Invent last year, including Amazon Q, which lets corporate users summarize internal documents and ask questions related to their contents, similar to Microsoft Office Copilot.
At today's earnings call, they also made the following announcements.
* Announced Rufus, a new generative AI-powered conversational shopping experience. Rufus is an expert shopping assistant trained on Amazon’s product catalog and information from across the web to answer customer questions on shopping needs, products, and comparisons, make recommendations based on this context, and facilitate product discovery. Customers can simply start typing or speaking their questions into the search bar in the Amazon Shopping app, or choose from a set of pre-populated questions, and Amazon will provide answers via a chat dialog box to help customers make more informed purchase decisions.
* Launched several new AI-powered innovations to help customers shop for fashion with more confidence in Amazon’sstore, including personalized size recommendations using AI and ML to help customers find what size fits them best.
Announced new commitments, partnerships, and expansions to support AWS customers.
• Amgen expanded its work with AWS to create generative artificial intelligence (generative AI)–based
solutions, using Amazon SageMaker to help discover, develop, and accelerate the manufacturing of
medicines for patients suffering from serious illnesses. Amgen will also use AWS’s global infrastructure and
advanced services to power a new digital data and analytics platform.
• Salesforce, which runs the vast majority of its cloud computing workloads on AWS, significantly expanded
its global partnership with AWS. For the first time, Salesforce products are now available in the AWS
Marketplace, giving customers streamlined purchasing options. This expansive partnership makes it easier for
customers to bring AWS data into Salesforce products and deepens data and AI integrations between AWS’s
and Salesforce’s products. Salesforce will support Amazon Bedrock as part of Salesforce’s open model
ecosystem strategy and will expand its use of AWS, including compute, storage, data, and AI technologies.
• Hospitality company Accor S.A. expanded its relationship with AWS to launch a generative AI Travel
Assistant using Amazon Bedrock and Amazon SageMaker. The Travel Assistant aims to reinvent the guest
experience by enhancing travel planning and booking, while reducing call volumes at Accor’s contact center.
• Financial services provider Mitsubishi UFJ Financial Group (MUFG) signed a multiyear global agreement
with AWS as its preferred cloud provider to innovate personalized financial services and use Amazon
Bedrock to experiment with more than 100 potential generative AI use cases. By moving from on-premises
data centers to AWS, MUFG reduced the cost of operating its standard IT infrastructure by 20%. Using
Amazon QuickSight, MUFG lowered operational costs by approximately 70% compared to legacy
technology.
• Merck will work with AWS and Accenture to move a substantial portion of Merck’s IT infrastructure to AWS
as its preferred cloud services provider. Merck is using services, including high-performance computing on
AWS and AWS HealthOmics to speed drug discovery and accelerate therapeutic discovery and Amazon
SageMaker for generative AI and machine learning (ML) to improve product manufacturing and availability.
• Automaker SAIC MOTOR selected AWS as its strategic cloud provider for its i-SMART connected vehicle
platform. SAIC MOTOR is using AWS’s global infrastructure services to enhance the driving experience and
build an elastic and agile connected vehicle architecture that can scale globally. SAIC MOTOR will use
Amazon Bedrock to personalize the in-vehicle experience and to automatically diagnose vehicle issues.
https://s2.q4cdn.com/299287126/files/doc_financial... 