AWS for Financial Services’ Post

We're always inspired by industry leaders and their innovative approaches. 💡 Check out the latest case study with Jefferies and learn how they’re leveraging AWS to modernize their infrastructure and drive innovation with #AI and #GenerativeAI. #AWS #cloud #AWSGenAI #ai #genai #AWSforFinancialServices #CloudComputing #AWSPartner #APNProud Amazon Web Services (AWS) AWS Partners AWS for Financial Services

Discover how Jefferies, a leading investment bank, builds on Amazon Web Services (AWS) to help drive innovation across its firm to improve productivity and deliver better insights and advice to its clients. In our latest video case study, Vikram Dewan, CIO, shares how they started their journey to modernize its infrastructure, scale its data centers, and reduce costs on AWS. Learn how they continue to innovate using AI and generative AI services, such as Amazon SageMaker, Amazon Bedrock, and Amazon Q to build new products and grow their competitive advantage. 🚀 Joe Ricca #AWSforfinancialservices #CloudComputing #generativeAI

Discover how Jefferies, a leading investment bank, builds on AWS to help drive innovation across its firm to improve productivity and deliver better insights and advice to its clients. In our latest video case study, Vikram Dewan, CIO, shares how they started their journey to modernize its infrastructure, scale its data centers, and reduce costs on AWS. Learn how they continue to innovate using AI and generative AI services, such as Amazon SageMaker, Amazon Bedrock, and Amazon Q to build new products and grow their competitive advantage. 🚀 #AWSforfinancialservices #CloudComputing #generativeAI

Discover how Jefferies, a leading investment bank, builds on AWS to help drive innovation across its firm to improve productivity and deliver better insights and advice to its clients. In our latest video case study, Vikram Dewan, CIO, shares how they started their journey to modernize its infrastructure, scale its data centers, and reduce costs on AWS. Learn how they continue to innovate using AI and generative AI services, such as Amazon SageMaker, Amazon Bedrock, and Amazon Q to build new products and grow their competitive advantage. 🚀 #AWSforfinancialservices #CloudComputing #generativeAI

Discover how Jefferies, a leading investment bank, builds on AWS to help drive innovation across its firm to improve productivity and deliver better insights and advice to its clients. In our latest video case study, Vikram Dewan, CIO, shares how they started their journey to modernize its infrastructure, scale its data centers, and reduce costs on AWS. Learn how they continue to innovate using AI and generative AI services, such as Amazon SageMaker, Amazon Bedrock, and Amazon Q to build new products and grow their competitive advantage. 🚀 #AWSforfinancialservices #CloudComputing #generativeAI

Discover how Jefferies, a leading investment bank, builds on AWS to help drive innovation across its firm to improve productivity and deliver better insights and advice to its clients. In our latest video case study, Vickram Dewan, CIO, shares how they started their journey to modernize its infrastructure, scale its data centers, and reduce costs on AWS. Learn how they continue to innovate using AI and generative AI services, such as Amazon SageMaker, Amazon Bedrock, and Amazon Q to build new products and grow their competitive advantage. 🚀 #AWSforfinancialservices #CloudComputing #generativeAI

Discover how Jefferies, a leading investment bank, builds on AWS to help drive innovation across its firm to improve productivity and deliver better insights and advice to its clients. In our latest video case study, Vikram Dewan, CIO, shares how they started their journey to modernize its infrastructure, scale its data centers, and reduce costs on AWS. Learn how they continue to innovate using AI and generative AI services, such as Amazon SageMaker, Amazon Bedrock, and Amazon Q to build new products and grow their competitive advantage. 🚀 #AWSforfinancialservices #CloudComputing #generativeAI

Discover how Jefferies, a leading investment bank, builds on AWS to help drive innovation across its firm to improve productivity and deliver better insights and advice to its clients. In our latest video case study, Vikram Dewan, CIO, shares how they started their journey to modernize its infrastructure, scale its data centers, and reduce costs on AWS. Learn how they continue to innovate using AI and generative AI services, such as Amazon SageMaker, Amazon Bedrock, and Amazon Q to build new products and grow their competitive advantage. 🚀 #AWSforfinancialservices #CloudComputing #generativeAI

Discover how Jefferies, a leading investment bank, builds on AWS to help drive innovation across its firm to improve productivity and deliver better insights and advice to its clients. In our latest video case study, Vikram Dewan, CIO, shares how they started their journey to modernize its infrastructure, scale its data centers, and reduce costs on AWS. Learn how they continue to innovate using AI and generative AI services, such as Amazon SageMaker, Amazon Bedrock, and Amazon Q to build new products and grow their competitive advantage. 🚀 #AWSforfinancialservices #CloudComputing #generativeAI

AI Revolution’s Stunning Cost: Microsoft, Amazon, Google, Oracle Investing $225 Billion over 12 Months by Bob Evans via Acceleration Economy ([Global] oracle cloud) URL: https://ift.tt/XPOAg4h While the AI Revolution holds enormous promise for businesses in every industry, the primary cloud-and-AI arms merchants — Microsoft, Google, Amazon, and Oracle — are incurring staggering ramp-up costs that are likely to reach $200 billion for the next 12 months. I realize this subject has been under some discussion by financial analysts recently, and I have no intention to try to replow any of that ground and its focus on earnings per share and margins. Instead, what I find intriguing is the big new challenge created by that whopping level of investment from those four hyperscalers, who cannot afford to simply pass all those costs along to their customers. Because that would surely stop the fledgling AI Revolution in its tracks. Instead, Microsoft, Google, Amazon, and Oracle will need to continue unleashing breakthrough innovations in cloud and AI infrastructure, engineering, and operations that will boost efficiencies and drive down the processing cost of AI training and inferencing. To make that challenge even more complex, the external factors of inflation, concerns about a slowing economy, and the uncertainties sparked by the forthcoming presidential election have combined to convince some business leaders that now is the time to pull back on IT investments. The prime examples of this were Salesforce and Workday, both of which said in fiscal-Q1 earnings calls a few months ago that customers have delayed decisions on planned purchases, and were in some cases reducing the size of the transactions or canceling them altogether. That’s hardly the type of atmosphere in which the Cloud Wars Top 10 companies can tell customers, “Hey, it turns out this AI stuff is way more expensive than we thought it would be, so we’re about to start raising our prices rather dramatically.” The $225 Billion Outlook If we look at what the four hyperscalers spent on capex in their most recent quarters, and consider their comments on what they expect to continue spending on capex in the near future, we get a picture of calendar-Q2 capex spending that looks like this: Microsoft: $19 billion Amazon: $17 billion Google: $13 billion Oracle: $7 billion Q2 Total: $56 billion And every single one of those companies said it expects to continue making capex investments at or above those levels for the foreseeable future. In their recent earnings calls, Oracle chairman Larry Ellison and Microsoft CEO Satya Nadella described in fairly rich detail why powerhouses fueling the AI Revolution are turning out to be so expensive. “This AI race is going to go on for a long time,” Ellison said on Oracle’s fiscal-Q4 earnings call in June. “It’s not a matter of just simply getting ahead in AI, but you also have to keep your model current, and that’s going to take larger an...