Gerrit Kazmaier, vice president and general manager, data analytics, Google Cloud, and Rayn Veerubhotla, managing director, partner engineering, Google Cloud talk with Bob Evans about the transformative potential of Google Cloud’s data cloud solutions, the integration of real-time data capabilities, and the role of strategic partnerships in driving value for enterprises.
Google Cloud Data Innovations
The Big Themes:
- Integration of unstructured data with AI: Google Cloud is shifting how enterprises leverage their data by integrating unstructured data (which makes up 85-90% of all data) with structured data through its BigQuery multimodal data foundation. This integration allows for a more comprehensive data landscape where AI models can seamlessly access and analyze both types of data. This approach addresses the limitations of traditional data systems and unlocks new potential for AI-driven analytics.
- The role of partners in maximizing AI and data value: Google Cloud’s service partners implement solutions and bring industry best practices to customer environments, while independent software vendors (ISVs) build applications that leverage Google Cloud’s data and AI tools. Programs like the Google Cloud Ready (GCR) initiative streamline integrations.
- Integration challenge: The challenge for organizations lies in connecting disparate data sources, such as operational data from systems like SAP and CRM data from Salesforce, with analytics tools to enable real-time decision-making. Google Cloud addresses this by developing connectors, such as Cortex.
The Big Quote: “We are coming to the Third Age in data, which is going to divide data systems. It’s not just about having lots of one data type… it’s having the broadest possible set of data signals you can bring together. That idea of wide data systems means combining all of your data signals, structured and unstructured, into one unified system.”
More from Google Cloud:
Learn more about Google Cloud Ready and Google Cloud’s partner ecosystem.
