Artificial Intelligence
Vertex AI Example-Based Explanations Improve ML Via Explainability
Artificial intelligence (AI) can automatically learn patterns that humans can’t detect, making it a powerful tool for getting more value out of data. A high-performing model starts with high-quality data, but in many cases, datasets have issues such as incorrect labels or unclear examples that contribute to poor model performance. Data quality is a constant …
Simplify Model Serving With Custom Prediction Routines On Vertex AI
The data received at serving time is rarely in the format your model expects. Numerical columns need to be normalized, features created, image bytes decoded, input values validated. Transforming the data can be as important as the prediction itself. That’s why we’re excited to announce custom prediction routines on Vertex AI, which simplify the process …
Building A Scalable MLOps System With Vertex AI AutoML And Pipeline
When you build a Machine Learning (ML) product, consider at least two MLOps scenarios. First, the model is replaceable, as breakthrough algorithms are introduced in academia or industry. Second, the model itself has to evolve with the data in the changing world. We can handle both scenarios with the services provided by Vertex AI. For …
Google Cloud And Apollo24|7: Building Clinical Decision Support System (CDSS) Together
Clinical Decision Support System (CDSS) is an important technology for the healthcare industry that analyzes data to help healthcare professionals make decisions related to patient care. The market size for the global clinical decision support system appears poised for expansion, with one study predicting a compound annual growth rate (CAGR) of 10.4%, from 2022 to …
ML Engineers: Partners For Scaling AI In Enterprises
Enterprises across many industries are adopting artificial intelligence (AI) and machine learning (ML) at a rapid pace. Many factors fuel this accelerated adoption, including a need to realize value out of the massive amounts of data generated by multichannel customer interactions and the increasing stores of data from all facets of an enterprise’s operations. This …
Running AlphaFold Batch Inference With Vertex AI Pipelines
Today, to accelerate research in the bio-pharma space, from the creation of treatments for diseases to the production of new synthetic biomaterials, we are announcing a new Vertex AI solution that demonstrates how to use Vertex AI Pipelines to run DeepMind’s AlphaFold protein structure predictions at scale. Once a protein’s structure is determined and its …
Introducing Model Co-Hosting To Enable Resource Sharing Among Multiple Model Deployments On Vertex AI
When deploying models to the Vertex AI prediction service, each model is by default deployed to its own VM. To make hosting more cost effective, we’re excited to introduce model co-hosting in public preview, which allows you to host multiple models on the same VM, resulting in better utilization of memory and computational resources. The …
Making AI More Accessible For Every Business
Alphabet CEO Sundar Pichai has compared the potential impact of artificial intelligence (AI) to the impact of electricity—so it may be no surprise that at Google Cloud, we expect to see increased AI and machine learning (ML) momentum across the spectrum of users and use cases. Some of the momentum is more foundational, such as …
AI Booster: How Vodafone Is Supercharging AI & ML At Scale
One of the largest telecommunications companies in the world, Vodafone is at the forefront of building next-generation connectivity and a sustainable digital future. Creating this digital future requires going beyond what’s possible today and unlocking significant investment in new technology and change. For Vodafone, a key driver is the use of artificial intelligence (AI) and …
Accelerating AI/ML Adoption In The Public Sector: Three Ways To Get Started
This is part one of a two-part series with practical tips to start your AI/ML journey. Machine learning (ML) and artificial intelligence (AI) are creating more personalized and easier digital experiences for constituents. According to recent studies, 92% of U.S. citizens1 report that improved digital services would positively impact their view of government. At the …