
Explore the intersection of real-time analytics and generative AI in app development, revolutionizing business strategies and technological innovation.

Discover insights and best practices for building GenAI-powered developer tools, including IDE chat, code completion, and process adaptation.

Explore BigQuery's new natural language-driven analytics experience for faster data-to-insights journey across discovery, processing, querying, and visualization.

Develop lightning-fast AI apps using Angular v18's cutting-edge features and Firebase hosting, integrating Google's Gemini generative AI for efficient web deployment.

Unify data analytics workloads with Google Cloud Storage. Learn to scale, achieve consistency, and reduce costs while integrating with BigQuery, Hadoop, Spark, and Kafka.

Explore innovative Google databases for digital transformation, featuring Deloitte's Kroger success and Flipkart's modernization for enhanced customer experiences.

Discover advanced bot mitigation and fraud prevention techniques using Google's reCAPTCHA Enterprise, protecting against online attacks while ensuring seamless user interactions.

Explore innovations in Apigee API Management to accelerate development, gain control, and enhance security in generative AI-powered API ecosystems.

Explore how defenders can leverage generative AI to combat cyberattacks, focusing on Google Cloud Security AI Workbench powered by Sec-PaLM 2 and Duet AI capabilities for enhanced threat detection and response.

Explore advanced data analytics using BigQuery's ML capabilities and Vertex AI's large language models for sentiment analysis, entity extraction, and more.

Discover cutting-edge IT operations strategies using containers, AI, and Kubernetes to enhance efficiency, reliability, and security in cloud-based platforms and applications.

Explore Google Cloud's HPC solutions for critical workloads, infrastructure advancements, and customer deployments in computational sciences and AI/ML.

Explore Vertex AI Pipelines for MLOps workflows, covering experiment pipelining, infrastructure management, and practical examples of machine learning development and deployment cycles.

Explore Vertex AI Pipelines for streamlined MLOps workflows, covering experiment pipelining, infrastructure management, and practical examples for efficient machine learning development and deployment.

Explore Google Dataflow's unified batch and stream processing model through real-time demonstrations, practical insights, and visualization techniques for managing data streams.

Explore Google's scalable Machine Learning solutions, including Vision and Speech APIs, TensorFlow, and Cloud ML. Learn about distributed training and pre-trained services for efficient AI development.

Explore the evolution of Google App Engine, its security features, and the transition to new runtimes. Learn about gVisor sandbox and its impact on serverless deployments.

Implementación práctica de protección DDoS en GCP: arquitectura, herramientas y demostración en vivo de ataques y defensa para aplicaciones web modernas.

Explore security variations in Kubernetes across major cloud providers, empowering teams to implement consistent controls for truly cloud-consistent applications.

Aprende a construir aplicaciones RAG multimodales utilizando LangChain, VertexAI y Chroma para procesar eficientemente datos no estructurados como PDFs e imágenes.

Master building multimodal RAG systems using LangChain and VertexAI SDK to process PDFs and images, implementing advanced data retrieval techniques with Chroma vector storage.