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Google Cloud Next '24

Hello everyone, and thanks for stopping by!

I recently had the incredible opportunity to attend Google Cloud Next 2024 in person for the first time, and it was truly an amazing experience. From insightful keynote presentations and workshops to vibrant booths buzzing with connections, the event was a whirlwind of innovation and inspiration.

One of the highlights was undoubtedly the abundance of AI announcements and advancements. Google continues to push the boundaries of what's possible, and it was exciting to witness the future of technology unfold.

Among the many highlights, CIROH achieved a significant milestone with its first-ever session at Google Cloud Next. The presentation, titled "Channel the Flood Data Deluge: Unlocking the American National Water Model," link led by Kel Markert (Google), Dr. Dan Ames (BYU), and Michael Ames(SADA) was a resounding success. The session link shed light on the immense potential of the National Water Model and its ability to revolutionize water resource management.

The conference was a truly enjoyable experience, especially collaborating with Dan, Kel, Michael and others. We had a great time together and sharing our insights.

The energy and enthusiasm throughout the event were contagious, and I left feeling incredibly motivated and inspired. I connected with numerous individuals from diverse backgrounds, fostering new collaborations and sparking exciting ideas for the future of water research and technology.

If you're curious to see more about my Google Cloud Next experience, head over to my LinkedIn post link where I've shared pictures from all three days.

Thank you for reading and stay tuned for more updates on the exciting advancements in water research and technology!

Want to delve deeper into the insights and announcements from Google Cloud Next? Check out these valuable resources:

SADA Live: Recap Key Cloud Technology Insights from Google Cloud Next '24: link This LinkedIn event offers a comprehensive overview of the key takeaways and technological advancements unveiled at the conference.

Day 2 Google Blog Recap: Dive into the specifics of Day 2 at Google Cloud Next with this insightful blog post, covering topics ranging from AI and data analytics to infrastructure and security. link

AI Takes Center Stage:

• Gemini for Google Cloud: The introduction of Gemini 1.5 Pro, integrated with various Google Cloud services, promises enhanced functionality, security, and AI performance across diverse applications.
• AI Infrastructure Advancements: The AI Hypercomputer provides exceptional computational power for complex AI tasks, while Gemini API now offers models tailored for various scales, enriching the development environment.
• Vertex AI Enhancements: New tools for low-latency applications and improved Gemini integration empower developers to build more efficient and sophisticated AI-driven applications.
• Secure AI Framework (SAIF): Establishes rigorous security standards for AI implementations, ensuring secure and responsible AI integrations.
• AI Database Assistant: Leverages Gemini to simplify complex queries and deepen AI integration into database management.
• Google Vids: This innovative Workspace feature utilizes Gemini and Vertex AI to enhance digital storytelling and collaboration, revolutionizing workplace communication.

Infrastructure and Development:

• Google Axion Processor: This cutting-edge processor boasts significant performance and energy efficiency improvements compared to traditional x86 instances, setting a new standard for computational efficiency. link

• Google Distributed Cloud (GDC) Sandbox: Enables developers to build and test services for GDC within a Google Cloud environment, simplifying the development process. link

• Migrate to Containers (M2C) CLI: This new tool facilitates seamless migration of applications to containers, supporting deployment on GKE or Cloud Run. link

Security and Data Analytics:

• AI Cyber Defense Initiative: Revolutionizes cybersecurity by leveraging AI for innovative solutions against cyber threats.
• BigQuery as a Unified Platform: Transforms BigQuery into a comprehensive platform for managing multimodal data and executing AI tasks, seamlessly integrated with Gemini.
  Check out all the announcements: link