Google Cloud's Gerrit Kazmaier & Rayn Veerubhotla On Unlocking the Future with AI and Multimodal Systems| Cloud Wars Live

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."


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