Google Cloud Next’24 Top 10 Highlights of the First Day – Codento
Summary
As the battle is becoming more fierce among the hyperscalers we can fairly observe that Google Cloud has taken a great position going forward: • None Rapid growth of Google Cloud with a $36 Billion run rate outpacing its hyperscaler peers on a percentage basis • None Continuous deep investments in AI and Gen AI progress with over a million models trained • None 90% of unicorns use Google Cloud showcasing a strong position with startups • None A lot of reference stories were shared. Gemini is bei ng embedded across a broad range of Google Cloud services addressing a variety of use cases and becoming a true differentiator, for example: • None New BigQuery integrations with Gemini models in Vertex AI support multimodal analytics, vector embeddings, and fine-tuning of LLMs from within BigQuery, applied to your enterprise data. Google came out with the enhanced image-generating tool embedded in Vertex AI developer platform with more of a focus on enterprise. What is already known convinces us that Google Cloud and its AI approach continues to be completely enterprise-ready providing capabilities to support deployments from pilot to production. To make all this real capable partners, like Codento, are needed to assist the entire journey: AI and data strategy, prioritized use cases, building the data foundation, implementing AI projects with strong grounding and integration, consider security and governance, and eventually build MLOps practices to scale the adoption.
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