Vertex AI Archives - Page 2 of 7

5 min

SAVI Transforms Global Surgical Instrument Tracking With Google Cloud

Powered by Vertex AI (Google Cloud’s platform for accelerating development and deployment of machine learning models into production), SAVI (Semi Automated Vision Inspection)1 is transforming surgical instrument identification and cataloging,…

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8 min

How To Optimize Training Performance With The TensorFlow Profiler On Vertex AI

Training ML models can be computationally expensive. If you’re training models on large datasets, you might be used to model training taking hours, or days, or even weeks. But it’s…

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6 min

Improving Model Quality At Scale With Vertex AI Model Evaluation

Typically, data scientists retrain models at regular intervals to keep them fresh and relevant. This practice may turn out to be costly if the model is trained too often or…

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10 min

Engineering

Movie Score Prediction With BigQuery, Vertex AI And MongoDB Atlas

Hey there! It’s been a minute since we last wrote about Google Cloud and MongoDB Atlas together. We had an idea for this new genre of experiment that involves BigQuery,…

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5 min

Using AI To Increase Asset Utilization And Production Uptime For Manufacturers

Today, manufacturers are advancing on their factory digitalization journey, betting on innovative technologies to strengthen competitiveness, deliver sustainable growth, and offer new services. Macroeconomic factors – such as high energy…

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5 min

Tech

Best Practices For Managing Vertex Pipelines Code

Organizations are increasingly using machine learning pipelines to streamline and scale their ML workflows. However, managing these pipelines can be challenging when an organization has multiple ML projects and pipelines…

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7 min

An Annual Roundup Of Google Data Analytics Innovations

October 23rd (this past Sunday) was my 5th Googleversery and we just wrapped up an incredible Google Next 2022! It was great to see so many customers and my colleagues…

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3 min

Vertex AI Vision: Easily Build And Deploy Computer Vision Applications At Scale

If organizations can easily analyze unstructured data streams, like live video and images, they can more effectively leverage information from the physical world to create intelligent business applications. Retailers can…

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6 min

Engineering

Machine Learning Experiments In Gaming And Why It Matters

Introduction Machine learning (ML) is essential to video game development. Predicting specific in-game actions and identifying and reaching your most valuable players helps to drive better outcomes. To this end,…

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7 min

Improved TabNet On Vertex AI: High-Performance, Scalable Tabular Deep Learning

Data scientists choose models based on various tradeoffs when solving machine learning (ML) problems that involve tabular (i.e., structured) data, the most common data type within enterprises. Among such models,…

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Vertex AI

SAVI Transforms Global Surgical Instrument Tracking With Google Cloud

How To Optimize Training Performance With The TensorFlow Profiler On Vertex AI

Improving Model Quality At Scale With Vertex AI Model Evaluation

Best Practices For Managing Vertex Pipelines Code

An Annual Roundup Of Google Data Analytics Innovations

Vertex AI Vision: Easily Build And Deploy Computer Vision Applications At Scale

Machine Learning Experiments In Gaming And Why It Matters

Improved TabNet On Vertex AI: High-Performance, Scalable Tabular Deep Learning

Apple unveils groundbreaking MacBook Pro with PROLED XDR Display and Touch for the first time on Mac

Apple introduces the new 14‑inch MacBook Pro with M6

Apple unveils new iMac with M6, delivering a major boost in performance and AI capabilities

IBM and Siemens Collaborate on Research to Advance Nanostack Architecture

Chinese tech giant Huawei unveils Mate 90 series smartphones with flagship Tau chips adopting logic folding technology

IBM Acquires Logiq Consulting to Expand Secure Digital Transformation and Cybersecurity Capabilities in the UK

Accenture and Google Cloud Transform Software Development with Volvo Cars

Synthetic data could ease people’s concerns about privacy breaches. But who gets to create it?

Apple Flagship Hardware Launch for September 2026

Multi-cloud with AWS and Azure just got a whole lot easier thanks to a new interconnect service

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