Six ways Google Cloud partners deliver real AI workloads – News

Enterprises are moving past early cloud experiments and diving into strategic, value-driven transformation. That means rethinking where data lives, how it’s accessed and what kind of intelligence it can unlock, especially as AI workloads demand closer proximity to compute and more architectural flexibility.

One partnership driving this evolution is the alliance between Oracle Corp. and Google Cloud. By bringing Oracle Database systems directly into Google Cloud infrastructure, customers gain the freedom to modernize mission-critical workloads without compromising performance, control or familiarity.

“I think it’s more than just a partnership,” said Jim Anderson (pictured, right), vice president of the North America partner ecosystem and channels at Google Cloud. “It’s about two companies coming together to address customer needs and ways that haven’t been done before and really thinking about how we innovate together, how we go to market together and really change the way that customers are consuming and delivering technology.”

During the Google Cloud Partner AI Series event, theCUBE Research’s John Furrier spoke with leaders from global consultancies, cloud-native service providers and enterprise artificial intelligence specialists. They explored how companies across the ecosystem are partnering with Google Cloud to bring AI from concept to implementation — accelerating innovation, simplifying complexity and driving measurable customer value. (* Disclosure below.)

1. Oracle and Google Cloud tag-team enterprise cloud migration

The Oracle and Google Cloud alliance marks a pivotal moment for enterprises ready to modernize their mission-critical AI workloads. Organizations can now run familiar Oracle Database systems directly within Google Cloud, bringing data closer to Google Cloud platform-native compute and unlocking new potential for AI and innovation, according to Anderson and Jay Heglar (left), senior VP of data platform sales and engineering at Oracle. This setup simplifies migrations, reduces risk and streamlines the path to advanced capabilities.

Catch the full story on theCUBE.

2. Palo Alto Networks sharpens enterprise AI security

Cybersecurity threats are evolving rapidly alongside enterprise AI adoption, prompting companies to rethink how they defend critical systems and AI workloads. Palo Alto Networks Inc. is enhancing its AI security capabilities through its acquisition of Protect AI and deepening its collaboration with Google Cloud, according to Anar Desai, VP of North America channel sales at Palo Alto Networks. The partnership now delivers a unified security platform that combines advanced AI with co-innovation and joint go-to-market efforts to better protect dynamic attack surfaces.

Check out theCUBE’s complete interview.

3. Accenture proves AI’s business value

Accenture PLC is shifting from proof of concept to “proof of value” by showing how AI can directly impact revenue and retention, especially in retail and consumer packaged goods, according to Shivani Vora, senior managing director, Americas Google lead, at Accenture. In one example, a major retailer boosted average order size by 40% using AI-powered virtual assistants from the Customer Engagement Suite — a clear demonstration of how targeted AI workloads can drive measurable results. The company’s partnership with Google Cloud turns research into results by combining Google Cloud’s innovations with Accenture’s expertise in implementation and change management, according to Anderson.

Watch the full interview on theCUBE.

Accenture’s Shivani Vora and Google Cloud’s Jim Anderson talk with theCUBE about AI’s business value.

4. BCG reimagines enterprise transformation with AI workloads and an AI-first strategy

AI is pushing enterprises to reinvent, not just optimize their operations, according to Val Elbert, senior partner and managing director at Boston Consulting Group. Through a seven-year partnership with Google Cloud, BCG is applying AI in data-heavy industries such as telecom and media, including a Gemini-powered chat agent for Verizon Communications Inc. that helps customers resolve billing issues in-app. The “AI-first” mindset is driving broader change, accelerating the deployment of AI workloads across areas such as legacy code modernization, customer service, marketing and internal transformation efforts.

Get the full story on theCUBE.

5. Onix speeds AI outcomes with IP-led platforms and prebuilt agents

Onix Networking Corp. is transforming cloud delivery with an “IP-led services” model that automates 80% of solution development through its proprietary Wingspan platform, delivering AI workloads up to 50% faster and at a third of the cost, according to Sanjay Singh, chief executive officer of Onix. The company also offers Onix Canopy, a suite of plug-and-play AI agents that turn customer data into actionable intelligence. Onix’s strategic focus on scalable, vertical-specific tools makes it a standout Google Cloud partner, according to Colleen Kapase, VP of channels and partner programs at Google Cloud.

Check out theCUBE’s complete interview. 

6. Publicis Sapient puts AI to work for hyper-personalization and business growth

AI isn’t just about efficiency; it’s about effectiveness at scale, especially when it comes to personalizing customer experiences, according to Vishnu Indugula, SVP at Publicis Sapient Corp. Partnering with Google Cloud, Publicis Sapient helps clients apply AI in targeted ways, from content optimization in CPG to campaign analysis in healthcare. The company’s holistic SPEED model — strategy, product, experience, engineering and data — ensures that AI workloads become business accelerators rather than isolated tools.

Don’t miss the full interview on theCUBE.

Here’s the complete video playlist from News’s and theCUBE’s coverage of the Google Cloud Partner AI Series event:

(* Disclosure: TheCUBE is a paid media partner for the Google Cloud Partner AI Series event. Neither Google Cloud, the sponsor of theCUBE’s event coverage, nor other sponsors have editorial control over content on theCUBE or News.)

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