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What’s among the largest impediment to the adoption of AI within enterprises? Not enough access to skills. According to 80 percent of business respondents to an EY survey, the top challenge to an enterprise AI program is the lack of requisite talent.
What companies need today is a way to facilitate—and therefore accelerate—the adoption of AI. There are a few challenges that need to be overcome. Two of the most critical challenges include the data science skills required to create customized models, and the right IT skills to power the underlying infrastructure.
Both of these skills are hard and expensive to come by.
There are ways around this problem. Google Cloud’s recently launched AutoML Vision is one such solution. It significantly lowers the amount of IT and data science heavy lifting required to start customized machine learning applications around computer vision.
That’s possibly one of the reasons why Google is the most popular cloud provider for data scientists, according to the State of Data Science.
In this short and simple-to-understand video, Yufeng Guo, Developer and Machine Learning Advocate at Google Cloud, walks you through a real use case of AutoML Vision.
The Tensor Processing Unit (TPU) is a custom ASIC chip—designed from the ground up by Google for machine learning workloads—that powers several of Google's major products including Translate, Photos, Search Assistant and Gmail. Cloud TPU provides the benefit of the TPU as a scalable and easy-to-use cloud computing resource to
Success in the movie industry relies on a studio’s ability to attract moviegoers—but that’s sometimes easier said than done. Moviegoers are a diverse group, with a wide variety of interests and preferences. Historically, movie studios have relied heavily on experience when deciding to invest in a particular script—but this can
Kaggle has, historically, become synonymous with machine learning competitions but it's much more than that. Kaggle is a data science platform. Over 5 million data scientists from all over the world come to Kaggle to not only not only participate in machine learning competitions but to learn data science build
L&T Financial Services is one of the largest lenders in India. India’s demonetization policy in recent years has led to a shift from cash transactions to digital payments. In 2016, the government withdrew 500 and 1000 rupee notes from circulation and encouraged a heavily cash-based population to deposit their canceled notes
