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Tech Sessions
Trailer
Bonus
Episode 3
Season 1
Ep. 3 Google Cloud Next ‘24 Recap with e360 Cloud and AI Experts
In this episode of the Tech Sessions podcast, e360's Kevin Kohn, alongside Jeff Dickman and AI expert Josh Thornes, discuss the key announcements and insights from Google Next 24, focusing on advancements in AI, cloud technology, and their implications for developers and architects.
Highlights include the introduction of Gemini Code Assist, enhancing coding efficiency by providing in-line code suggestions and smart actions directly in the IDE, thereby speeding up the development process and avoiding common pitfalls. Discussions also cover Google's efforts in democratizing cloud infrastructure through Gemini Cloud Assist, enabling faster and more informed architectural decisions by developers. Furthermore, the session delves into the innovations in AI development with Vertex AI, emphasizing prompt management and the deployment of AI models.
The concept of enterprise truth for resolving data discrepancies and the potential of vector search in improving search and indexing functionalities are explored. Additionally, the significance of new features like GKE preloading for AI deployments, App Hub for application insights, BigQuery continuous queries, Confidential VMs for enhanced data security, and the integration of NVIDIA's GPU technology are examined.
The discussions highlight Google's commitment to advancing cloud and AI technologies, making them more accessible and efficient for developers and businesses.
01:29 Deep Dive into AI Announcements and Code Assist Features
08:06 Exploring Cloud Assist and Architectural Insights
08:06 Gemini Cloud Assist
12:10 Vertex AI Updates and the Power of Prompt Management
16:10 Advancements in Data Management and Vector Search
20:01 Innovations in Applications, Infrastructure, and Security
21:58 Wrapping Up and Looking Forward
e360 Website: www.e360.com
Highlights include the introduction of Gemini Code Assist, enhancing coding efficiency by providing in-line code suggestions and smart actions directly in the IDE, thereby speeding up the development process and avoiding common pitfalls. Discussions also cover Google's efforts in democratizing cloud infrastructure through Gemini Cloud Assist, enabling faster and more informed architectural decisions by developers. Furthermore, the session delves into the innovations in AI development with Vertex AI, emphasizing prompt management and the deployment of AI models.
The concept of enterprise truth for resolving data discrepancies and the potential of vector search in improving search and indexing functionalities are explored. Additionally, the significance of new features like GKE preloading for AI deployments, App Hub for application insights, BigQuery continuous queries, Confidential VMs for enhanced data security, and the integration of NVIDIA's GPU technology are examined.
The discussions highlight Google's commitment to advancing cloud and AI technologies, making them more accessible and efficient for developers and businesses.
01:29 Deep Dive into AI Announcements and Code Assist Features
08:06 Exploring Cloud Assist and Architectural Insights
08:06 Gemini Cloud Assist
12:10 Vertex AI Updates and the Power of Prompt Management
16:10 Advancements in Data Management and Vector Search
20:01 Innovations in Applications, Infrastructure, and Security
21:58 Wrapping Up and Looking Forward
e360 Website: www.e360.com
Chapters
- Google Next
- Deep Dive into AI Announcements and Code Assist Features
- Gemini Cloud Assist
- Vertex AI Updates and the Power of Prompt Management
- Advancements in Data Management and Vector Search
- Innovations in Applications, Infrastructure, and Security
- Wrapping Up and Looking Forward