Google Introduces Generative AI Consulting Service and Updates

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Google Cloud will offer generative AI consulting services to businesses as the tech giant looks to expand its portfolio of business services to keep pace with rivals.

On June 7th, the vendor announced that its Google Cloud consulting division will launch a free generative AI program for training online, targeting a variety of audiences. Google Cloud customers also have access to on-demand learning paths and certification programs.

Google consulting services

Businesses will also now have access to generative AI consulting services powered by Google, helping customers discover trends in enterprise data, summarize large amounts of information, automate business processes and create personalized content. You will be able to

Google also showcased sample architectures and business-oriented workflows for companies looking to accelerate their entry into the generative AI market.

The tech giant declined to say when these services would be available.

Futurum Research analyst Daniel Neumann said it’s no surprise that Google is moving quickly to offer generative AI consulting services.

“These high-tech companies usually partner with systems companies and consulting firms to do some level of consulting,” he said. “Many of these SIs work with everyone’s technology, and we want to make sure SIs are in control of their own destinies.”

But offering consulting services doesn’t mean Google won’t continue working with Deloitte, Accenture and other system integrators, Neumann said.

Meanwhile, the consulting service joins an early wave of generative AI understanding the rapidly developing large-scale language model-based technology that enables organizations to easily automate tasks and other functions. We support enterprise customers who are

“Today, every company is doing due diligence to understand how to operate these models safely, reliably and profitably,” said Bradley Simin, an analyst at Omdia. “I think Google is now trying to reinvigorate that process.”

Simin said Google is also tackling one of the key challenges it faces in the generative AI market.

Compared to rival Microsoft, whose close partnership with GPT developer OpenAI has catapulted the tech giant to the top of the generative AI market, Google needs to expand its ecosystem of developers building features in AI. There is, he said.

So, Shimmin continued, this is Google’s attempt to build that ecosystem and provide the tools (training, expert support, tools, etc.) to make Google’s generative AI PaLM API work.

“Google has a lot of pre-built solutions, but they’re going to be a tiny fraction of the total market in the long run,” he said. “The long tail of generative AI will become highly specialized within specific verticals, use cases and departments.”

Vertex updates and enterprise search targeting

In addition to consulting services, Google also announced the general availability of generative AI support on its Vertex AI managed machine learning platform.

This includes access to over 60 foundational models in the Model Garden, an environment where users can search, discover and interact with Google’s foundational models (available soon for open source and third-party models) Now

The Vertex update gives developers access to Google’s text models powered by PaLM 2, and the vendor’s Generative AI Studio text embeddings and tools for model tuning and deployment.

Regarding Google’s claims that data, governance and safety features underpin Vertex AI, Neumann said, “Vertex seems to make sure that datasets are secure, private and isolated.” rice field.

Google, which has long dominated consumer search, is also targeting enterprise search.

On June 6th, the tech giant expanded access to enterprise search in Generative AI App Builder. This feature will allow companies to create custom he chatbots and search engines that can serve output from specific data sources and process multimodal data such as images.

Even though the app builder is a fully managed service, Google said users of the generate feature are in control of their data.

The vendor says companies like Priceline and Vodafone are experimenting with Gen App Builder. Priceline uses this feature for its internal search engine and new chatbot for consumers. Vodafone uses Gen App Builder to build tools that can find documentation and understand special commercial terms of use.

Gen App Builder’s Enterprise Search is set up differently than OpenAI and other generative AI tools Microsoft is opening up to developers, Shimmin said.

“The understanding Google is putting forward is that this is not just a sandbox for developers to play with,” he said. “It’s a component of a broader toolchain that serves as an endpoint to actually do something internally, rather than just say, ‘Oh, that was an interesting find.'”

Gen App Builder will benefit both individuals using it to automate some of their day-to-day tasks and businesses inserting Gen App Builder as a feature into their existing chatbots, Shimmin continued. I was.

Overall, Neumann said Google aims to enable companies to build and create their own generative AI capabilities.

”[It’s] “It’s kind of exciting in terms of what the possibilities are,” Neumann said, adding that he also feels intimidated that companies can start ingesting data and building apps with little effort. rice field. “It feels like the barrier to entry is very low.” ”

Evidence that the new generative AI tools actually work will come when companies use them to build useful applications, he said.

Google also introduced Duet AI for Google Workplace Enterprise, a feature that enables collaboration within an organization. Available for pre-order now. Capabilities include creating and coordinating content in Gmail and Google Docs, creating original images from text in Google Slides, and turning ideas and data into insights in Google Sheets. .

Esther Ajao is a news writer covering artificial intelligence software and systems.



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