The power of Vertex AI at your fingertips.
From improving customer experiences to optimizing supply chain operations, ML has the potential to transform the way companies operate and create value. However, building and deploying ML models can be complex and time-consuming, requiring specialized knowledge and resources - this is where Vertex AI comes in. Developed by Google Cloud, Vertex AI is a powerful platform designed to simplify and streamline the ML workflow. In this article, we'll take a closer look at what Vertex AI is, what it can be used for, and how it can benefit businesses looking to leverage the power of machine learning.
So, what is it?
Vertex AI is an ML platform that lets you train and deploy ML models and AI applications. Vertex AI combines data engineering, data science, and ML engineering workflows, enabling your teams to collaborate using a common toolset. It’s a complete package! Additionally, Vertex AI provides several model training options. The first one, AutoML, allows you to train tabular, image, text, or video data without writing code or preparing data splits. Another, custom training gives you complete control over the training process, including using your preferred ML framework, writing your training code, and choosing hyperparameter tuning options. Once your models are deployed, you can use Vertex AI's end-to-end MLOps tools to automate and scale projects throughout the ML lifecycle. These MLOps tools are run on fully-managed infrastructure that you can customize based on your performance and budget needs.
Why is it useful?
Vertex AI's versatility and scalability make it a valuable tool for businesses in a wide range of industries looking to harness the power of machine learning. For instance, thanks to automated machine learning, Vertex AI's AutoML capabilities can help businesses build and deploy ML models with minimal manual effort. In the case of model training and deployment, by using Vertex AI, companies can train and deploy their ML models at scale, making it easier to use these models in production. Furthermore, Vertex AI integrates with other Google Cloud services, such as BigQuery and Cloud Storage, making it easier to use these services in conjunction with ML workflows. It can also help businesses generate insights and predictions based on large datasets, enabling them to make more informed decisions and offering a range of tools for processing and analyzing text data. That way, it’s useful for sentiment analysis and chatbot applications.
What kind of companies use it?
According to the studies conducted by Google, Vertex AI proves convenient and profitable regardless of the industry. One such research has shown that over 100 global retail executives identified that AI and ML-powered applications can potentially drive $230-515 billion in business value. Whether the use cases involve optimizing inventory or bettering customer experience, retail is among the industries where ML adoption has been most substantial. For example, an online furniture and home goods retailer Wayfair has been able to run large model training jobs 5-10x faster by leveraging Vertex AI.
In another study, 66% of manufacturers using AI in their day-to-day operations report increasing reliance on AI. Google joined forces with Seagate, their HDD original equipment manufacturer (OEM) partner for Google’s data centers, to leverage ML for improved prediction of frequent HDD problems, such as disk failure. The Vertex AI AutoML model generated for the effort achieved a precision of 98% with a recall of 35%, compared to an accuracy of 70-80% and a recall of 20-25% for the competing custom ML model. Coca-Cola Bottlers Japan (CCBJ) is also ramping up its ML efforts, using Vertex AI and BigQuery to process billions of data records from 700,000 vending machines, helping the company to make strategic decisions about when and where to locate products.
Vertex AI is a powerful tool for businesses looking to leverage the power of machine learning in their operations. With its comprehensive platform, companies can streamline their ML workflows, from data engineering to deployment. Vertex AI's versatility and scalability make it valuable for various industries, from healthcare to manufacturing and beyond. It offers a range of use cases, from automated machine learning to natural language processing. By adopting Vertex AI, businesses can drive innovation, improve efficiency, and make better decisions based on data-driven insights. With the power of Vertex AI at their fingertips, businesses can unlock the full potential of machine learning and take their operations to the next level. Is your company ready to employ this powerful tool?
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