Why build AI & ML applications on Google Cloud Platform?
Google Cloud Platform (GCP) differs from other cloud providers in a number of ways. Not only is Google’s ecosystem well proven and trusted, it also provides modern machine learning (ML) services, with pre-trained and customised models. Its collection of APIs can recognise images, video content, voice and natural languages, allowing businesses to leverage AI and ML technology with minimal expertise.
Google’s Global Backbone Network
GCP runs on Google’s hyperscale backbone network, the world’s largest global private cloud network, with 100+ points of presence, 18 regions, and 100k miles of fiber optic. Your applications will be fast, consistent and scalable, in the same manner as Google Search and YouTube.
GCP meets rigorous privacy and compliance standards for data safety, privacy, and security. It uses the same security model that Google has built over 15 years for such applications as Gmail and Google Apps.
Big Data Processing
GCP's fully managed, end-to-end data analytics products allow you to seamlessly unlock business insights. The serverless approach removes most of the operational complexities of data analytics, so you can efficiently capture, process, and analyse data, accelerating your time-to-insight.
AI & ML Tools
GCP provides pre-trained and custom ML models to accelerate your ML workloads. GCP’s neural-net-based ML service has better training performance and accuracy compared to other deep learning systems. Major Google applications use Cloud ML, including Photos, Translate, Inbox, and the Google app.
GCP provides tools to modernise not just your IT stack, but your entire business. You can use a full range of products, including productivity applications such as G Suite, and real-world data such as the Google Maps Platform, to create a collaborative and data-driven culture.