Google Cloud Online

Google Cloud – 4 nov

November 4, 2021 / 6:00 pm - 9:00 pm

Join Google's specialists to learn more about some of the hottest GCP topics of the moment: Datamesh, streaming data ingestion, Vertex AI and App Modernization with Anthos.

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Schedule

6:00 pm

Datamesh or Streaming Data Ingestion - Google

"Similar to the Microservices revolution in the software development domain, there is a new wave starting in the analytics domain called Data Mesh. What are the highlights of this new model? Why are enterprises considering this model? How do cloud native architectures enable the successful implementation of this model? This session will cover all these questions and provide insights of how adopting Data Mesh can help businesses scale Analytics in the organization."

Host

Renald Buter Chief Operations GoDataDriven

Guests

Navin Goel Customer Engineer Google
7:00 pm

Vertex AI - Google

Vertex AI is a unified MLOps platform to help data scientists/ML engineers increase experimentation, deploy faster, and manage models with confidence. Vertex AI brings together the Google Cloud services for building ML under one, unified UI and API. In Vertex AI, you can now easily train and compare models using AutoML or custom code training and all your models are stored in one central model repository. One AI platform, every ML tool you need A unified UI for the entire ML workflow Vertex AI brings together the Google Cloud services for building ML under one, unified UI and API. In Vertex AI, you can now easily train and compare models using AutoML or custom code training and all your models are stored in one central model repository. These models can now be deployed to the same endpoints on Vertex AI. Pre-trained APIs for vision, video, natural language, and more Easily infuse vision, video, translation, and natural language ML into existing applications or build entirely new intelligent applications across a broad range of use cases (including Translation and Speech to Text). AutoML enables developers to train high-quality models specific to their business needs with minimal ML expertise or effort. With central managed registry for all datasets across data types (vision, natural language, and tabular). End-to-end integration for data and AI You can use BigQuery ML to create and execute machine learning models in BigQuery using standard SQL queries on existing business intelligence tools and spreadsheets, or you can export datasets from BigQuery directly into Vertex AI for seamless integration across the data-to-AI life cycle. Use Vertex Data Labeling to generate highly accurate labels for your data collection. Support for all open source frameworks Vertex AI integrates with widely used open source frameworks such as TensorFlow, PyTorch, and scikit-learn, along with supporting all ML frameworks via custom containers for training and prediction.

Host

Renald Buter Chief Operations GoDataDriven

Guests

Wouter Roosenburg Customer Engineer at Google
8:00 pm

App Modernization with Anthos - Google

An overview of the Google Cloud Anthos Application Modernization platform which uses industry leading technology for moderni\ation and migration of applications in hybrid or multi cloud environments suitable for all industries.

Host

Renald Buter Chief Operations GoDataDriven

Guests

Rushil Sharma Customer Engineer Hybrid Cloud at Google