Google LLC is aggressively introducing artificial intelligence across its entire cloud stack, from hardware to applications, positioning itself as a critical player that can provide enterprises with a comprehensive, AI-driven infrastructure to innovate, scale and evolve.
Through strategic initiatives like BigQuery Omni and AI-powered data management tools, Google aims to become the cloud platform of choice, enabling organizations to seamlessly harness the transformative power of AI across multiple cloud environments.
“Google Cloud has thrown down the gauntlet, and I know I hear that many other competitors are having sleepless nights,” said Sanjeev Mohan (pictured right), director at SanjMo.
Mohan spoke at Google Cloud Next 2024 during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio, with John Furrier, Executive Analyst at theCUBE Research (pictured left). They discussed Google Cloud’s strategic advances in AI and cloud technologies, developments in BigQuery, and the impact of these innovations on businesses and the technology industry as a whole. (*Disclosure below.)
The integration of AI into Google’s cloud infrastructure
Google has taken a comprehensive approach to embedding AI across its entire stack, creating a unified architecture that is deeply integrated with AI capabilities. This seamless integration enables real-time processing of various types of data, with significant impact for both developers and businesses.
“What Google has done is…the entire stack is AI-infused,” Mohan said. “It is so deeply integrated that they can process text, audio and video, all in real time.”
This approach not only sets a new standard for cloud computing, but also opens a gateway for unprecedented applications and services. By leveraging the full potential of AI across its technology stack, Mohan says Google is enabling developers and companies to innovate at a pace and scale previously unimaginable. The ability to process and analyze text, audio and video in real-time is transforming the way companies approach data analysis, customer service and content management, paving the way for more intuitive and intelligent applications that meet the rapidly changing needs of the digital world .
“It’s a big game-changer because Google is basically saying, ‘Hey, it’s a multicloud world.’ It’s a supercloud world – we connect. But we believe it will still end up in BigQuery because we will have the better product that is unique,” Furrier added.
This sentiment underscores Google’s strategic positioning not only as a provider, but also as a platform that anticipates and exceeds the evolving needs of its users in a multicloud ecosystem.
The invisible influence of AI on data analysis and management
According to Mohan, Google’s integration of AI is not just about improving existing services, but also about changing the way data analysis is conducted and managed. The launch of BigQuery Omni and its cross-cloud capabilities is a testament to Google’s forward-thinking approach.
“BigQuery Omni lets you run BigQuery not only on Google Cloud, but also on other cloud providers. They announced a cross-cloud materialized view so you can query BigQuery on AWS much faster and more cost-effectively,” Mohan explained. “So, this… is a big deal.”
The discussion between Mohan and Furrier highlighted the critical role of AI in improving the robustness and versatility of Google’s data analysis tools, paving the way for breakthrough applications across various industries.
The key takeaway from Google Cloud Next is a future where integrating AI into cloud services is not just an add-on, but a fundamental architecture that redefines the capabilities and possibilities of cloud computing. Google’s strategic innovations, particularly in AI-powered data management and analysis, usher in a new era of technology development that will impact everything from enterprise cloud strategies to the development of AI-driven applications.
“It’s not just a search. Bring [data] in. Perform retrieval augmentation generation on unstructured data,” Furrier said. “It’s multimodal, which means you create the ability to address data in a way that you can do that at runtime when generating answers or arguments. So it’s not just text.”
Stay tuned for the full video interview, part of SiliconANGLE and theCUBE Research’s coverage of Google Cloud Next 2024.
(*Disclosure: TheCUBE is a paid media partner for Google Cloud Next 2024. Neither Google LLC, the primary sponsor of theCUBE’s event coverage, nor any other sponsors have editorial control over content on theCUBE or SiliconANGLE.)