Google's Cloud AutoML to Help Businesses Build AI Models

Google's Cloud AutoML to Help Businesses Build AI Models

Its drag and drop interface lets users easily upload images, train and manage models, and then deploy those trained models directly on Google Cloud.

Google's new Cloud AutoML takes out 2 out of 3 parts of that equation.

This is basically a service provided for a fee that makes it faster and easier to create custom machine-learning models for image recognition, be it for a nature preservation website or online shopping and services portal. With its latest Cloud AutoML feature, Google hopes to make ML available to those business which might not necessarily have access to ML/AI engineers. For example, a clothes manufacturer may want to feed Google's cloud pictures of t-shirts, sweaters, skirts, and so on, to create a system that can identify different types of clothing in stock. And these predictions are what enable marketers to target the right offer at the right time; they also help systems recognize things in the real world.

Artificial intelligence (AI) and machine learning (ML) were clearly the dominant.

During Google's I/O developers conference in May, CEO Sundar Pichai highlighted the company's goal of helping customers apply AI and machine learning to a broader array of daily tasks ranging from email and job hunting to healthcare and virtual reality.

John Kelly told Democrats some of Trump's campaign stances 'uninformed'
Another group of high-level lawmakers has also started talks aimed at brokering an immigration deal, adding an additional level of uncertainty.

This complements the Google Cloud Machine Learning Engine, released past year, that lets developers with machine learning expertise create models for any kind of data. Last May, Microsoft introduced a service for customizing hands-on image recognition models, closely followed by Amazon's SageMaker, created to build individual AI models.

Increased accuracy: Cloud AutoML Vision is built on Google's leading image recognition approaches, including transfer learning and neural architecture search technologies.

Google said the technology is already enabling businesses such as Disney Consumer Products and Interactive Media to build vision models to annotate its products with Disney characters, product categories and colours. It provide customers with a consistent method of access across the entire Google Cloud service line. Google seeks to capture customers by offering cloud services for AI, an area where it is said to have an edge over rivals. The Google cloud-computing requires that humans label the data before the system learns it.

Google announced earlier this week that it will be funding the creation of three new undersea cables to connect the company's five new regional centers in Montreal, the Netherlands, Los, Angeles, Finland, and Hong Kong. Google had 12 percent public cloud market share in the fourth quarter, KeyBanc analysts said last week. Even with both Google and Microsoft making strides recently, Amazon dwarfs both companies.

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