Google Cloud has announced the launch of a brand new managed machine learning (ML) platform, the dubbed Vertex AI. The platform allows users to accelerate the deployment of AI models and requires almost 80% fewer lines of code to train a model. Google announcing the platform during the keynote shows how important the company believes it to be for a wide range of developers.
- A single unified environment: Google claims that using Vertex enables models to be trained with up to 80 percent fewer lines of code when compared to competing platforms. Vertex brings together Google Cloud’s AI solutions into a single environment where models can go from experimentation all the way to production.
- Optimized search engine: The search giant says Vertex AI unifies the Google Cloud services responsible for building ML, simplifying the process of building, training, and deploying ML models. It also enables users to implement machine learning operations (MLOps) to build ML projects throughout the entire development lifecycle.
- Helpful pathway for engineers: “We had two guiding lights while building Vertex AI: get data scientists and engineers out of the orchestration weeds, and create an industry-wide shift that would make everyone get serious about moving AI out of pilot purgatory and into full-scale production,” says Google Cloud vice president and general manager of cloud AI and industry solutions, Andrew Moore.
- Streamline access: Google says the lessons learned from its investment in AI have informed its ML capabilities — which the company has subsequently transferred over to Vertex AI’s foundation. With Vertex AI data science and ML engineering teams can access the AI toolkit used internally to power Google, including computer vision, language, conversation, and structured data.
- A long way to go: Omdia chief analyst for AI platforms, analytics, and data management, Bradley Shimmin says the platform will go a long way in streamlining the machine learning lifecycle. “Data science practitioners hoping to put AI to work across the enterprise aren’t looking to wrangle tooling,” says Shimmin.