Picture 1

How Apollo Tyres is unlocking machine insights using agentic AI-powered Manufacturing Reasoner

This is a joint post co-authored with Harsh Vardhan, Global Head, Digital Innovation Hub, Apollo Tyres Ltd. Apollo Tyres, headquartered in Gurgaon, India, is a prominent international tire manufacturer with production facilities in India and Europe. The company advertises its products under its two global brands: Apollo and Vredestein, and its products are available in …

1 KusrfVRmax 1000x1000 1

Build a multi-agent KYC workflow in three steps using Google’s Agent Development Kit and Gemini

Know Your Customer (KYC) processes are foundational to any Financial Services Institution’s (FSI) regulatory compliance practices and risk mitigation strategies. KYC is how financial institutions verify the identity of their customers and assess associated risks. But as customers expect instant approvals, FSIs face pressure to streamline their manual, time-consuming and error-prone KYC processes.  The good …

ML 18505 image 1

Deploy Qwen models with Amazon Bedrock Custom Model Import

We’re excited to announce that Amazon Bedrock Custom Model Import now supports Qwen models. You can now import custom weights for Qwen2, Qwen2_VL, and Qwen2_5_VL architectures, including models like Qwen 2, 2.5 Coder, Qwen 2.5 VL, and QwQ 32B. You can bring your own customized Qwen models into Amazon Bedrock and deploy them in a fully managed, serverless environment—without having to …

BRK3 066

How good is your AI? Gen AI evaluation at every stage, explained

As AI moves from promising experiments to landing core business impact, the most critical question is no longer “What can it do?” but “How well does it do it?”.  Ensuring the quality, reliability, and safety of your AI applications is a strategic imperative. To guide you, evaluation must be your North Star—a constant process that …

1L0P 7DLypX3XxniezsAJqA

Palantir Advocates for Balanced Data Privacy Legislation in RFI Response

Editor’s Note: This blog post highlights Palantir’s response to a Request for Information from the House Energy and Commerce Committee’s Privacy Working Group, which is exploring the creation of a national data privacy law. For more information about Palantir’s contributions to AI Policy, visit our website here. Introduction In April, Palantir submitted a response to a …

Model Once, Represent Everywhere: UDA (Unified Data Architecture) at Netflix

By Alex Hutter, Alexandre Bertails, Claire Wang, Haoyuan He, Kishore Banala, Peter Royal, Shervin Afshar As Netflix’s offerings grow — across films, series, games, live events, and ads — so does the complexity of the systems that support it. Core business concepts like ‘actor’ or ‘movie’ are modeled in many places: in our Enterprise GraphQL Gateway powering internal apps, in …

2122

Accelerating Articul8’s domain-specific model development with Amazon SageMaker HyperPod

This post was co-written with Renato Nascimento, Felipe Viana, Andre Von Zuben from Articul8. Generative AI is reshaping industries, offering new efficiencies, automation, and innovation. However, generative AI requires powerful, scalable, and resilient infrastructures that optimize large-scale model training, providing rapid iteration and efficient compute utilization with purpose-built infrastructure and automated cluster management. In this …

Anton Chuvakin Headshot 18L8044 SQ1 Hi Resmax 1000x1000 1

Cloud CISO Perspectives: How Google secures AI Agents

Welcome to the first Cloud CISO Perspectives for June 2025. Today, Anton Chuvakin, security advisor for Google Cloud’s Office of the CISO, discusses a new Google report on securing AI agents, and the new security paradigm they demand. As with all Cloud CISO Perspectives, the contents of this newsletter are posted to the Google Cloud …