Deloitte and Google Cloud Debut Co-Innovation Initiative for Powering Enterprise-Grade Generative AI

Deloitte—through a joint innovation initiative with Google Cloud—is introducing its ConvergeCONSUMER portfolio of solutions to Google Cloud, integrating its business intelligence (BI) capabilities with Google Cloud’s data analytics, AI, and generative AI technologies.

Deloitte’s ConvergeCONSUMER products aim to enhance business performance through centralized, insightful turnkey solutions that eliminate the need for managing disparate and expensive specialized tools. By ingesting a wide breadth of consumer signals, these solutions can improve demand forecasting, optimize supply chains, streamline costs, and tailor customer experiences, according to the companies.

With the announcement of Deloitte and Google’s co-innovation initiative, ConvergeCONSUMER is now optimized for Google Cloud infrastructure and products, enabling users to leverage Google Cloud’s AI and analytics capabilities with external data points from ConvergeCONSUMER.

Combining Deloitte’s pre-built proprietary assets and deep client and industry expertise with Google Cloud’s leading data analytics technologies results in deep surfaced insights powering Google Cloud’s expanse of AI and analytics products. This will ultimately increase business performance and customer engagement, according to Deloitte.

“Deloitte and Google Cloud have a longstanding alliance of helping business and public sector organizations improve how they operate,” said Michelle McGuire Christian, principal in Deloitte Digital and Deloitte Consulting LLP and chief commerce officer for ConvergeCONSUMER. “This next phase introduces exciting co-innovation of ConvergeCONSUMER solutions combined with Deloitte’s strategic vision and Google Cloud’s leading technology—helping clients make key decisions to improve consumers’ experiences and expand their overall market potential.”

Among the integrations for ConvergeCONSUMER is Google Cloud Vertex AI, where Deloitte proprietary consumer and market data and algorithms power the Vertex AI platform to accelerate business decision-making. This integration enables users to build and train machine learning (ML) models, based on either pre-trained or custom AI models, to create successful business outcomes and enhance business analysis.

Google Cloud's Generative AI App Builder and Generative AI Studio also benefit from the ConvergeCONSUMER integration, helping organizations accelerate the production and deployment of applications—like chatbots or search engines—that bring consumers closer to relevant information. 

On the front of enhancing data and producing crucial insights, ConvergeCONSUMER utilizes the Google Cloud Cortex Framework to rapidly deliver on consumer analytics. With Cortex’s packaged content and reference architectures, enterprises can more efficiently deploy demand-sensing and forecasting analytics for quicker, more cost-effective insights.

“The Cortex framework enables teams to push things downstream to the existing marketing stack and engineer the highest likelihood of being effective. It really allows our clients to uncover hidden growth paths and unlock competitive advantage,” said McGuire Christian.

Finally, ConvergeCONSUMER leverages BigQuery, Data Flow, and Dataproc to enhance structured and unstructured data value, regardless of its storage location, according to Deloitte. These analytics can be further enriched with consumer data or external insights and viewed in real-time, accompanied by the ability to apply pre-integrated signals for expedited time-to-value on business analytics.

“This combination of deep industry expertise, GenAI, and data analytics is a powerful one that will enable marketers to be more impactful in their daily work,” explained McGuire Christian. “Data science was long seen as a back-office function and marketers were considered a front-office function; GenAI has given marketers the ability to amplify their language skills with concrete data science, engineering an advantage and creating new opportunities to reach key audiences.”

To learn more about this collaborative initiative, please visit