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At the Google Cloud Next conference in San Francisco on Tuesday, Google explained how to bring artificial intelligence to developers and integrate more AI features into its cloud products.
Diane Greene, CEO of Google Cloud
Artificial intelligence has long been the cornerstone of Google Cloud's value proposition. But to attract more customers, the company must make these capabilities more accessible. It also has to deal with Amazon Web Services and Microsoft Azure, which are growing rapidly, and have developed their own AI-based offerings and created their own plans to reduce the barrier to entry.
At the presentation On the first day, Google Cloud CEO Diane Greene noted that Google is investing heavily in two key areas: AI and security. Google says security side act towards "the number one worry of customers". And invest in AI because it is "the opportunity number one".
The AI is "the key to reorganize a company"
The AI is "the key to reorganize a company" said Diane Greene. "Today, it's built into everything Google does, we're working now to make it easy for you, we're integrating AI with everything you do."
Making AI more accessible, Google announced the expansion of Cloud AutoML, the software that automates the creation of learning models. Announced earlier this year, AutoML allows you to build custom machine learning models without any specific knowledge of machine learning. Google expands Google's Cloud Vision API to recognize entirely new and custom image categories
In January, Google announced the alpha version of AutoML Vision and announced Tuesday that the product was evolving into a public beta . This means that any Google Cloud client can submit a set of tagged images, and Google will create an image recognition template corresponding to that dataset. Since the announcement of the product in January, about 18,000 customers have expressed interest in AutoML Vision, said Rajen Sheth, senior director of product management for Google Cloud AI.
AutoML Natural Language and AutoML Translation
In addition, Google introduces AutoML Natural Language and AutoML Translation. With AutoML translation, customers can create models that take into account the specific business language. For example, the term "the driver does not work" would be translated differently for the computer industry and in the transport industry.
In addition to improving AutoML, Google announced Tuesday its API updates machine learning. The Cloud Vision API now recognizes handwriting, supports PDF and TIFF files, and can identify the location of an object in an image.
The Cloud Text-to-Speech API also receives bets which includes the ability to optimize for different speakers. Cloud Speech-to-Text can now identify the spoken language as well as the different speakers in a conversation. Multichannel recognition allows users to record each participant separately in multi-participant recordings.
Third-generation Google Cloud TPU available in alpha
Google's artificial intelligence hardware is also released. day. The third generation of Google Cloud TPUs is now available in alpha. Second-generation TPUs are now available, which means that all GCP users can access them, including free-level users. According to Google, UTPs dramatically speed up machine learning tasks and are accessible via GCP.
Google also announced G Suite updates that include a high dose of artificial intelligence.
Google's competitors propose also ways to implement machine learning and AI in the hands of developers. At the end of last year, AWS unveiled SageMaker, which facilitates and speeds up the formation of machine learning models.
At the AWS Summit in New York City earlier this month, the company announced that it was bringing streaming algorithms as well as improvements to batch work. AWS also took advantage of this summit to provide DeepLens, a video camera that allows developers to learn deep learning.
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