In recent years, Google Cloud services have made giant strides to equip data scientists and AI researchers with easy-to-use and accessible tools. Introducing products such as TensorFlow, Google Colab, Cloud AI, Cloud AutoML, and BigQueryML has empowered companies to harness the power of AI and ML capabilities to transform their business. However, frequent barriers underpin the advancement of ML: development and deployment of ML models into production at scale, monitoring and retraining ML models, and constantly toggling between various platforms. The general availability of Vertex AI from Google marks an important milestone in removing these barriers.
In this blog post, we will explore what Vertex AI is, what it does, who should use it, and why.
Vertex AI is an end-to-end machine learning platform offered by Google Cloud that allows organizations to build, deploy, and manage machine learning models at scale. With Vertex AI, users can access pre-built and custom machine learning models, data processing pipelines, and model training and deployment infrastructure to build intelligent applications that can perform a wide range of tasks, from image and video analysis to natural language processing and predictive analytics.
Vertex AI serves as a PaaS for machine learning developers. The adoption of machine learning operations (MLOps) facilitates the automation of production-grade ML models deployment. Once deployed, MLOps tools that run on fully-managed infrastructure can be leveraged on Vertex AI to automate and scale projects through the ML lifecycle.
Google Cloud Vertex AI provides a wide range of capabilities that enable businesses to build, deploy, and manage machine learning models. These capabilities include:
A key benefit that sets Vertex AI apart from other AI platforms is its ease of operability. It allows its users to collaborate using a common toolset by combining data science, machine learning and data engineering workflow with nearly 80% fewer lines of code, accelerating ML development and experimentation by 5X.
Vertex AI is designed for organizations of all sizes that want to incorporate machine learning capabilities into their applications or processes. Whether you’re a startup looking to build a recommendation engine or a large enterprise seeking to automate business processes using natural language processing, Vertex AI provides the tools and services necessary to help you achieve your goals.
Vertex AI is also ideal for businesses that do not have extensive knowledge of machine learning. Its AutoML tools make it easy for businesses to build custom models without requiring a deep understanding of the underlying technology.
In particular, Vertex AI is ideal for:
There are several reasons why organizations should consider using Vertex AI to build and deploy their machine learning models:
In short, Vertex AI is a powerful machine learning platform that provides organizations with the tools and services necessary to build, train, and deploy custom machine learning models at scale. With Vertex AI, organizations can accelerate their machine learning workflows, streamline their model development and deployment processes, and leverage the power of machine learning to drive business growth and innovation. Whether you’re a data scientist, developer, or business leader, Vertex AI provides the features and functionality necessary to help you achieve your machine learning goals.
Get in touch with our experts to learn more about how you can scale your machine learning operations with Vertex AI.