Google Cloud to help firms solve AI challenges

Google Cloud is planning to “help more industries solve common AI challenges” by introducing an array of solutions.

Last month at Next 2018, the cloud giant unveiled its plans to introduce a number of solutions to support firms wanting to take advantage of AI for common use cases.

At the conference, Google’s Chief Scientist, Fei-Fei Li, explained how AI has the power to revolutionise every industry – from retail to agriculture, to education and healthcare.

Pre-packaged AI solutions

Li revealed in her keynote: “AI can be challenging to apply to very specific business needs. We want to change that, which is why we’re introducing a number of AI solutions aimed at making it easier for businesses to use AI to address many of these specific use cases.

“Our AI solutions fall into two categories. The first is our set of pre-packaged AI solutions that can be easily integrated into existing workflows. To make these solutions as easy to implement as possible, we work with popular, trusted enterprise partners who have deep domain expertise in these workflows. The majority of our pre-packaged solutions will be delivered through these partners, although we’ll be offering some direction to our customers as well.

Highly-custom AI tools

“The second category of our AI solutions is comprised of reference architectures that you can use to create highly-custom AI tools. These require more development work than our pre-packaged solutions, but simplify complexity for enterprises that need highly business-specific integrated AI deployments.”

Google’s AI solutions include two pre-packaged options: Contact Center AI, a complete solution aimed at transforming the enterprise contact centre, and Cloud Talent Solution, which uses AI to improve talent acquisition.

According to Li, the enterprise contact centre is the ideal place where AI can be used to greatly improve the human experience for customers and the agents that serve them.

For more information, check out Google’s AI solutions in the company’s blog post.

Written by Leah Alger

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