When used effectively, generative AI has the potential to transform the way we work and live - speeding up software development, accelerating content creation and discovery, improving customer experiences, and much more.  But until recently, it’s been difficult for organizations to access generative AI technology for business use cases because managing large foundation models in production is a difficult task, requiring an advanced toolkit, lots of data, specialized skills, and even more time.   With Generative AI support on Vertex AI, you have access to Google's large generative AI models so you can test, tune, and deploy them for use in your AI-powered applications - no ML expertise required.  Interested in using the power of generative AI at your organization? Join this session, where you’ll gain an understanding of Generative AI support on Vertex AI, including: Available foundation models, and when to use which one for your use case How to access foundation models with Model Garden, and tune models with Generative AI Studio to fit your unique needs How to use Generative AI App Builder to build enterprise-ready applications powered by generative AI, including Enterprise Search experiences using structured and unstructured data You’ll also have the opportunity to ask questions and receive answers live.  Please complete this form to register for the event. Once registered, you'll receive a calendar invite via email. Even if you can't make it live, register and we'll send you a link to the recording.  Register Today Thank you - we hope to see you there!    
Wednesday, September 20, 2023
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Tuesday, October 24, 2023
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Machine learning (ML) is one of the top priorities for businesses of all sizes today. However, it’s still hard to productionalize data science use cases, especially because the journey from experimentation lacks standardization.  One way to address this challenge is to embrace MLOps practices and adopt a template-driven approach with reusable ML pipelines code. From a collaboration between Datatonic and Google Cloud, the MLOps Turbo Template is a great example of how it's possible to templatize the end-to-end ML lifecycle to help Data Scientists and ML Engineers kickstart their ML project quickly and efficiently on Vertex AI.  In this webinar, we'll announce the new version of the open-source MLOps Turbo Template, which introduces several new features, including Kubeflow Pipelines (KFP) v2 support, iterative training, model evaluation, and more. We’ll also test the new template with a LIVE demo!    Join this session with Ivan Nardini, Sales Engineer, Smart Analytics at Google Cloud, and Felix Schaumann, Head of Machine Learning Engineering at Datatonic, where you’ll: Gain an understanding of MLOps best practices  Learn how MLOps Turbo Template can help you put MLOps best practices into action See a walkthrough demonstration of how MLOps Turbo Template can kickstart and operationalize your MLOps workflow Have the opportunity to ask questions and receive answers live This webinar is ideal for Data Scientists, Machine Learning Engineers, and anyone else who is interested in learning more about MLOps and pipelines.  Register Today Please complete this form to register for the event. Once registered, you'll receive a calendar invite via email. Even if you can't make it live, register and we'll send you a link to the recording.  Thank you - we hope to see you there!  
Tuesday, November 21, 2023
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