Trust is the cornerstone on which the banking industry is built. When consumers lose trust in a bank’s ability to manage risk, the system stops working. We’ve seen what follows—financial crises, bailouts, destruction of capital, and losses of jobs. Put simply, consumers trust banks to keep their money safe and return the money when requested. …
Posted by Rajat Sen and Abhimanyu Das, Research Scientists, Google Research Time-series forecasting is an important research area that is critical to several scientific and industrial applications, like retail supply chain optimization, energy and traffic prediction, and weather forecasting. In retail use cases, for example, it has been observed that improving demand forecasting accuracy can …
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Each machine learning (ML) system has a unique service level agreement (SLA) requirement with respect to latency, throughput, and cost metrics. With advancements in hardware design, a wide range of CPU- and GPU-based infrastructures are available to help you speed up inference performance. Also, you can build these ML systems with a combination of ML …
Read more “Improved ML model deployment using Amazon SageMaker Inference Recommender”
Since our founding in 2003, Palantir has worked with governments — as well as commercial clients across some of the most secure and highly regulated industries — to deliver value from their most sensitive data holdings. In doing so, we have pioneered many of the security concepts and practices that have come to be known as Zero Trust. Today, security …
One of the most distinguishing things about our federal government is its broad scope of services. No other institution is responsible for doing so much for so many, so quickly, in an ever-changing landscape. No other institution must respond simultaneously to such a breadth of challenges that have only been amplified over the last few …
Read more “A partnership perspective on government cloud security”
Posted by Lauren Wilcox, Senior Staff Research Scientist, on behalf of the Technology, AI, Society, and Culture Team Google sees AI as a foundational and transformational technology, with recent advances in generative AI technologies, such as LaMDA, PaLM, Imagen, Parti, MusicLM, and similar machine learning (ML) models, some of which are now being incorporated into …
Read more “Responsible AI at Google Research: Technology, AI, Society and Culture”
The ability to effectively handle and process enormous amounts of documents has become essential for enterprises in the modern world. Due to the continuous influx of information that all enterprises deal with, manually classifying documents is no longer a viable option. Document classification models can automate the procedure and help organizations save time and resources. …
Read more “Amazon Comprehend document classifier adds layout support for higher accuracy”
When peer-to-peer marketplace Mercari came to the US in 2014, it had its work cut out for it. Surrounded by market giants like eBay, Craigslist, and Wish, Mercari needed to carve out an approach to compete for new users. Furthermore, Mercari wanted to build a network for buyers and sellers to return to, rather than …
Here is how to prepare for the beginning of the biggest disruption in technology ChatGPT has taken the internet by storm. They are the fastest technology to reach 1 million users, only taking 5 days to do it. By the end of their first month, they had 100 Million users. And this is only the beginning. Let’s …
Software is increasingly being run “at the edge,” ranging from disconnected data centers to small form-factor devices on factory floors, in space, under the sea, and other remote locations. However, deployment of software to edge devices is complex, especially at scale. As compute moves increasingly out to the edge across industries, software deployment to the …
Read more “Palantir Apollo: Innovations in software deployment to the Edge”