Organizations need powerful security solutions to their most sensitive assets. But the familiar approach of bolting on more security products is unsustainable. Instead, the convergence of key capabilities can reduce complexity, increase productivity, and deliver stronger security outcomes. In this spotlight, leaders from Google and Mandiant will share our insight into the threat landscape and our latest innovations that make Google part of your security team. We’ll demonstrate new Gen AI-driven security capabilities that help prevent threats, eliminate toil, and empower talent. And you’ll hear from leaders who have adopted our solutions to transform their security programs.

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.

It's time to ditch ineffective, reactive security approaches. The unique synergy between frontline threat intelligence and AI will usher in a new era of preemptive security protection that enables organizations to operate with confidence in the AI era. In this spotlight, leaders from Google and Mandiant will share our insight into the security landscape and showcase the latest innovations you can use to make Google part of your security team. We’ll demonstrate new agentic security capabilities that can help you prevent threats, eliminate toil, and empower your talent. And you’ll hear from leaders in the public and private sector who have adopted our solutions to transform their security programs.

The most exciting innovations today - from AI to scientific discovery to enterprise IT optimization - all have something in common: a foundation of powerful infrastructure. Learn how enhancements to AI Hypercomputer - from TPUs and GPUs, to storage and networking, to frameworks like JAX - scale performance and cost efficiency for inference, training, and scientific computing. Discover how new workload-specific capabilities across core infrastructure services improve performance & reliability for modern applications and enterprise workloads like SAP and VMWare.

In this spotlight, we will explore Google Cloud’s approach to getting started with generative AI and share examples of how organizations are putting generative AI into production with Google Cloud to create new value for their customers, employees and partners. Join the session to learn about all our new announcements planned for the best foundation models and the best integrated platform to work with when it comes to generative AI.

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.

In this spotlight, we will explore Google Cloud’s approach to getting started with generative AI and share examples of how organizations are putting generative AI into production with Google Cloud and creating AI Agent experiences for their customers, employees and partners. Join the session to learn about all our new announcements planned for the best foundation models, best agent building framework, and the most integrated agent space, come together to help you orchestrate a solid AI future for your organization.

Explore Google Cloud’s approach to getting started with generative AI and share examples of how organizations are putting generative AI into production with Google Cloud to create new value for their customers, employees and partners. Join the session to learn about all our new announcements planned for the best foundation models and the best integrated platform to work with when it comes to generative AI.

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.

In this spotlight, we will explore Google Cloud’s approach to getting started with generative AI and share examples of how organizations are putting generative AI into production with Google Cloud and creating AI Agent experiences for their customers, employees and partners. Join the session to learn about all our new announcements planned for the best foundation models, best agent building framework, and the most integrated agent space, come together to help you orchestrate a solid AI future for your organization.

By introducing a range of AI-enhanced products that amplify creativity and interactivity across our platforms, Buzzfeed has been able to connect with the largest global audience of young people online to cement its role as the defining digital media company of the AI era. Notably, some of Buzzfeed's most successful tools and content experiences thrive on the power of small, focused datasets. Still wondering how Shrek fits into the picture? You'll have to watch!

Video from: https://smalldatasf.com/

📓 Resources Big Data is Dead: https://motherduck.com/blog/big-data-... Small Data Manifesto: https://motherduck.com/blog/small-dat... Why Small Data?: https://benn.substack.com/p/is-excel-... Small Data SF: https://www.smalldatasf.com/

➡️ Follow Us LinkedIn: / motherduck
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Bluesky: motherduck.com Blog: https://motherduck.com/blog/

Discover how BuzzFeed's Data team, led by Gilad Cohen, harnesses AI for creative purposes, leveraging large language models (LLMs) and generative image capabilities to enhance content creation. This video explores how machine learning teams build tools to create new interactive media experiences, focusing on augmenting creative workflows rather than replacing jobs, allowing readers to participate more deeply in the content they consume.

We dive into the core data science problem of understanding what a piece of content is about, a crucial step for improving content recommendation systems. Learn why traditional methods fall short and how the team is constantly seeking smaller, faster, and more performant models. This exploration covers the evolution from earlier architectures like DistilBERT to modern, more efficient approaches for better content representation, clustering, and user personalization.

A key technique explored is the use of text embeddings, which are dense, low-dimensional vector representations of data. This video provides an accessible explanation of embeddings as a form of compressed knowledge, showing how BuzzFeed creates a unique vector for each article. This allows for simple vector math to find semantically similar content, forming a foundational infrastructure for powerful ranking and recommender systems.

Explore how BuzzFeed leverages generative image capabilities to create new interactive formats. The journey began with Midjourney experiments and evolved to building custom tools by fine-tuning a Stable Diffusion XL model using LORA (Low-Rank Approximation). This advanced technique provides greater control over image output, enabling the rapid creation of viral AI generators that respond to trending topics and allow for massive user engagement.

Finally, see a practical application of machine learning for content optimization. BuzzFeed uses its vast historical dataset from Bayesian A/B testing to train a model that predicts headline performance. By generating multiple headline candidates with an LLM like Claude and running them through this predictive model, they can identify the winning headline. This showcases how to use unique, in-house data to build powerful tools that improve click-through rates and drive engagement, pointing to a significant transformation in how media is created and consumed.

Talk about evaluating AI agents.

In today’s data-driven world, enterprises are seeking scalable, cost-effective and high-performance cloud data warehouses to fuel their analytics and AI initiatives. BigQuery has emerged as a leading solution, attracting many organizations with its serverless architecture, powerful AI and machine learning (ML) capabilities, and a unified data and AI experience. Discover how Quest Diagnostics and Ford successfully migrated to BigQuery to improve efficiency and drive innovation, and learn about new tools to help streamline migrations to BigQuery.

The reality is no one LLM will always be completely safe. The good news is that hallucinations can tell you where your AI lifecycle needs more attention. Learn how you can modernize your Google AI infrastructure to preemptively avoid some of the common weak spots and how you can build an AI stack that will give you the agility to fix problems as they occur. By attending this session, your contact information may be shared with the sponsor for relevant follow up for this event only.

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.

Learn how you can improve performance, reliability, and efficiency with infrastructure optimized for all your workloads including AI. We’ll highlight new product innovations for our highly optimized systems, like AI Hypercomputer, meaningfully combine compute, storage, networking infrastructure, Titanium offloads, open software, and new consumption models. Plus see how generative AI assistance makes infrastructure design, operation, and optimization easier than ever.

Click the blue “Learn more” button above to tap into special offers designed to help you implement what you are learning at Google Cloud Next 25.

In a workshop in which each participant will build, deploy, and run their first AI agent.

The future of work belongs to those who keep learning. Whether you’re sharpening existing skills or exploring new ones, continuous growth is your edge. Microsoft offers tools and resources to help you stay skilled, upskill, and thrive in an AI-powered world. Embrace a learning mindset and take the next step in your skilling journey today.​