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Generate cold start forecasts for products with no historical data using Amazon Forecast, now up to 45% more accurate

Now with Amazon Forecast, you can generate up to 45% more accurate forecasts for products with no historical data. Forecast is a managed service that uses machine learning (ML) to generate accurate demand forecasts, without requiring any ML experience. Accurate forecasting is the foundation for inventory optimization, logistics planning, and workforce management and it enables …

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Identify key insights from text documents through fine-tuning and HPO with Amazon SageMaker JumpStart

Organizations across industries such as retail, banking, finance, healthcare, manufacturing, and lending often have to deal with vast amounts of unstructured text documents coming from various sources, such as news, blogs, product reviews, customer support channels, and social media. These documents contain critical information that’s key to making important business decisions. As an organization grows, …

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Startup Uses Speech AI to Coach Contact-Center Agents Into Boosting Customer Satisfaction

Minerva CQ, a startup based in the San Francisco Bay Area, is making customer service calls quicker and more efficient for both agents and customers, with a focus on those in the energy sector. The NVIDIA Inception member’s name is a mashup of the Roman goddess of wisdom and knowledge — and collaborative intelligence (CQ), …

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Hardware Selection and Logistics (Passwordless Authentication Series, #1)

(Editor’s Note: This is the first in a series that shares insights from our journey enforcing FIDO2 authentication via hardware authenticators (YubiKeys) across all of Palantir. While Palantir has enforced mandatory strong multi-factor authentication for well over a decade, hardware-backed authentication using FIDO2 represents the strongest form of modern authentication available.) Threat Model Palantir has …

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Conversation Summaries in Google Chat

Posted by Mohammad Saleh, Software Engineer, Google Research, Brain Team, and Yinan Wang, Software Engineer, Google Workspace Information overload is a significant challenge for many organizations and individuals today. It can be overwhelming to keep up with incoming chat messages and documents that arrive at our inbox everyday. This has been exacerbated by the increase …

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Easy and accurate forecasting with AutoGluon-TimeSeries

AutoGluon-TimeSeries is the latest addition to AutoGluon, which helps you easily build powerful time series forecasting models with as little as three lines of code. Time series forecasting is a common task in a wide array of industries as well as scientific domains. Having access to reliable forecasts for supply, demand, or capacity is crucial …

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Your guide to AI/ML at AWS re:Invent 2022

AWS re:Invent season is upon us again! Just a few days to go until re:Invent takes place for the 11th year in Las Vegas, Nevada. The Artificial Intelligence and Machine Learning team at AWS has been working hard to offer amazing content, an outstanding AWS DeepRacer experience, and much more. In this post, we give …

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How to run a large scale ML workflow on Dataflow ML for autonomous driving

Developing autonomous driving technology is a battle with data, both from a volume and data format point of view. Sources include point cloud 3D data obtained from LIDAR, video data obtained from multiple cameras, GPS position information, millimeter-wave radar, steering and various sensor information. Even in a busy city, less than 1% of the raw …

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Easily integrate machine learning models into applications with Vertex AI integration for Cloud Spanner

Cloud Spanner is a fully managed relational database that provides industry-leading  consistency and availability at any scale. Organizations of all sizes in industries like financial services, retail, and games rely on Spanner to run their mission critical applications, but efficiently running line-of-business applications is often not enough. They want to react to business or customer …

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Palantir’s Response to the FTC on ‘Commercial Surveillance and Data Security’ Rulemaking

Suggestions for establishing a culture of data responsibility Introduction Part of building and deploying privacy-protective technology is also fostering a community of responsibility around its development and use. This idea is central to the mission of Palantir’s Privacy & Civil Liberties Engineering team. It is also a guiding principle that drives us to share our …