AI building blocks make it easy to add sight, language, conversation, and structured data into your applications.
You can use just one product or combine several building blocks to construct the solution that’s right for you.
Customers using AI building blocks
At Keller WIlliams we have a huge focus on technology and on innovating to make our real estate franchise stand out to customers. We are planning to use AutoML Vision to identify specific items or elements in agent listing photographs, such as ‘modern’ or ‘granite countertops.’ This will make it easier for our customers to find their perfect home!Neil Dholakia, Chief Product Officer, Keller Williams
Two types of AI building blocks
There are two types of building blocks: AutoML for custom models and APIs for pre-trained models. You can use them individually or in combination.
From identifying wear on tires to classifying maps and legal documents, Cloud AutoML products use Google's state-of-the-art transfer learning and neural architecture search technology to empower you to build domain-specific custom models that increase your accuracy for a variety of use cases.
For common use cases, you can immediately start using our proven, pre-trained APIs without worrying about training models. And as Google makes breakthroughs in AI research, you'll always have access to the latest fully trained models.
Without having to spend the time and resources on manual analysis, use the Cloud Vision and Natural Language APIs to efficiently transcribe and classify documents at any scale.
Turn phone calls into insights with data generated through Cloud Speech-to-Text and analytics derived from BigQuery.