Google Cloud is kicking off a decisive new phase in its AI + Cloud strategy at its annual Next event this week with ambitious AI innovations across each of its five strategic clouds: Modern Infrastructure, Developer, Data, Security, and Collaboration.
CEO Thomas Kurian will kick things off with a high-level keynote showcasing how Google Cloud’s AI + Cloud (my terminology, not Kurian’s) strategy is shifting from the conceptual and under-development phase to one centered on very specific value drivers for customers.
If 2023 was the year of exploring what’s possible with GenAI and figuring out the optimal ways to turn those dreams into reality, then in 2024 Google Cloud is prepared to help customers, partners, and developers accelerate the deployment of these profound new technologies and services to drive business transformations to new and unprecedented levels.
Kurian will lay out that customer-centric perspective by showing high-level examples — including customer videos — of how Google Cloud’s extensive AI and GenAI capabilities and innovations are being leveraged across the five-cloud landscape that struck me as an excellent way for customers to be able to understand the range and depth of Google Cloud’s AI + Cloud offerings.
Beyond Kurian’s keynote, Google Cloud’s product leaders will then orchestrate in-depth explorations of how Google Cloud’s rapidly expanding Gemini models will be incorporated across those five clouds. Here’s a quick look at what customers can expect Google Cloud to unveil for each of those five:
- Modern Infrastructure Cloud: key advances include different configurations of infrastructure optimized for specific workloads; a fully distributed cloud with AI and Sovereign capabilities at all levels; “cross-cloud networking for a multi-cloud world”; and a single cohesive container management platform for customer workloads.
- Developer Cloud: use AI to improve the entire development lifecycle, and accelerate development by using more partner integrations.
- Data Cloud: for Databases, simplify management, build AI apps more quickly, and modernize data estate; and for Data Analytics, BigQuery becomes the unified platform for everything “from data to AI”; and, the availability of “Gemini Always On Data Intelligence”.
- Security Cloud: use AI to “supercharge” cybersecurity, simplify endpoint security, and create “intelligence-driven SecurityOps”.
- Collaboration Cloud: Gemini for Google Workspace arrives in full force, and a key attribute is cybersecurity: “Workspace has far fewer incidents than other email and collaboration platforms.”
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