Self-Supervised Learning with Gaussian Processes

Self supervised learning (SSL) is a machine learning paradigm where models learn to understand the underlying structure of data without explicit supervision from labeled samples. The acquired representations from SSL have demonstrated useful for many downstream tasks including clustering, and linear classification, etc. To ensure smoothness of the representation space, most SSL methods rely on …

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How Palantir AIP Accelerates Data Migration

The Octopus Model for Enterprise Transformation Enterprise data migration can be among the most costly, complex, and time-consuming endeavors organizations undertake — but it doesn’t have to be. Traditional migrations require coordinating consultants alongside separated internal business and technology teams to unlock the potential of data stored in brittle ERP system, customized SAP legacy instances, or even …

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Scaling content review operations with multi-agent workflow

Enterprises are managing ever-growing volumes of content, ranging from product catalogs and support articles to knowledge bases and technical documentation. Ensuring this information remains accurate, relevant, and aligned with the latest business facts is a formidable challenge. Manual content review processes are often slow, costly, and unable to keep pace with dynamic business needs. According …

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Introducing Conversational Analytics in BigQuery

Businesses want to move quickly and make informed decisions, but the explosion of data in today’s organizations often can leave knowledge teams buried and business users waiting in lengthy queues for the data insights they need. AI agents promise to fundamentally change this relationship, empowering users to move faster from data to action. Today, we …

SelfReflect: Can LLMs Communicate Their Internal Answer Distribution?

The common approach to communicate a large language model’s (LLM) uncertainty is to add a percentage number or a hedging word to its response. But is this all we can do? Instead of generating a single answer and then hedging it, an LLM that is fully transparent to the user needs to be able to …

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Correcting the Record: Response to the EFF January 15, 2026 Report on Palantir

Editor’s Note: This blog post responds to allegations published by the Electronic Frontier Foundation (EFF) in relation to Palantir’s work with Immigration and Customs Enforcement (ICE). We believe it’s important to address misconceptions (as we have previously) about our technology and business practices with transparency and factual accuracy. Introduction The Electronic Frontier Foundation (EFF) has …

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Build reliable Agentic AI solution with Amazon Bedrock: Learn from Pushpay’s journey on GenAI evaluation

This post was co-written with Saurabh Gupta and Todd Colby from Pushpay. Pushpay is a market-leading digital giving and engagement platform designed to help churches and faith-based organizations drive community engagement, manage donations, and strengthen generosity fundraising processes efficiently. Pushpay’s church management system provides church administrators and ministry leaders with insight-driven reporting, donor development dashboards, and automation …

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What’s new with ML infrastructure for Dataflow

The world of artificial intelligence is moving at lightning speed. At Google Cloud, we’re committed to providing best-in-class infrastructure to power your AI and ML workloads. Dataflow is a critical component of Google Cloud’s AI stack that lets you create batch and streaming pipelines that support a variety of analytics and AI use cases. We’re …

The AI Evolution of Graph Search at Netflix

The AI Evolution of Graph Search at Netflix: From Structured Queries to Natural Language By Alex Hutter and Bartosz Balukiewicz Our previous blog posts (part 1, part 2, part 3) detailed how Netflix’s Graph Search platform addresses the challenges of searching across federated data sets within Netflix’s enterprise ecosystem. Although highly scalable and easy to configure, …

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Build a serverless AI Gateway architecture with AWS AppSync Events

AWS AppSync Events can help you create more secure, scalable Websocket APIs. In addition to broadcasting real-time events to millions of Websocket subscribers, it supports a crucial user experience requirement of your AI Gateway: low-latency propagation of events from your chosen generative AI models to individual users. In this post, we discuss how to use …