Cloud News
5 ‘Huge’ Google Generative AI Use Cases For Cloud Partners: Philip Moyer
Mark Haranas
‘For systems integrators and MSPs, it’s a real renaissance and a real opportunity to change the value equation that they bring to companies,’ Philip Moyer, global vice president of Google’s AI business, tells CRN.
There is a “real renaissance” opportunity for Google partners today to drive new revenue around generative AI, says Google’s AI leader Philip Moyer.
“For systems integrators and MSPs, it’s a real renaissance and a real opportunity to change the value equation that they bring to companies,” Philip Moyer, global vice president of Google’s artificial intelligence business, told CRN.
Businesses in every industry are seeking help from Google partners in leveraging new generative AI technology to make them more productive, efficient, and affective—from the financial services and construction industries to healthcare and customer services.
“There was a lot of a lot of work for partners that was getting to be like ‘road work’ around doing migrations to the cloud,” said Moyer. “This is an opportunity to get deeper inside of businesses. To really go into parts of the business that you haven’t gone into before.”
[Related: SADA CEO On Google’s AI ‘Distinct Advantage’ And Thomas Kurian’s Winning Strategy]
New Google AI Products
From the Google Cloud Platform (GCP) to Google Workspace—which includes Gmail, Meet, Chat, Drive and more—the Mountain View, Calif.-based company has unleashed an onslaught of new GenAI tools and features inside its most popular products.
Google Cloud has also launched brand new generative AI products for the enterprise to help customers create new AI-powered applications, boost conversational AI via chatbots, better secure data, train next-generation large language models (LLMs), and run AI workloads anywhere.
“We’ve been working on a lot of these things internally for a while, and the opportunity for partners to be a part of that dialogue of, ‘What is safe? What’s responsible? What’s good AI? What’s not good AI?’—we’re very, very happy about that,” said Moyer. “This technology can be very great. And it can also do things that it’s not supposed to do. So partners, in particular, are really, really important to us in that process.”
Generative AI use cases and net new customer opportunities for Google partners are sprouting up in nearly every industry. Moyer breaks down five GenAI use cases that Google is solving for customers in 2023 that he urges partners should know and be driving into the market.
Use Case No. 1
Industry: Financial Services
GenAI Opportunity: Credit And Insurance Underwriting
Organizations across every regulated industry are asking AI for help. Moyer said Google financial services customers are now starting to experiment with generative AI around credit underwriting and insurance underwriting.
“Those two use cases are really interesting because you’re able to go in and look at different customer types and say, ‘This individual is highly likely to pay. This individual is highly likely not to pay,’” he said. “And it has very little to do, oftentimes, with credit scores.”
“So the information they have about customers, being able to make better credit decisions is really important, but also extending products to those individuals that are appropriate for them,” said Moyer. “I’m seeing a lot of work being done in the generative AI space around picking the right financial product for the right individual.”
Google partners can help financial services companies leverage genitive AI to improve their credit decisions, better leverage customer data, speed up processes and provide AI services.
“They’re worried about the content that they use to train. They’re worried about the training itself, where it lives. They’re worried about how to make it accurate end-to-end,” said Moyer. “Those are services partners can provide.”
Click through to read the other four use cases Google partners need to know about:
