Google Cloud Premier Partner providing consultative sales, support, and professional services --- Workspace, Cloud, Maps, AI/ML, and Google Security Operations.
Generating #SQL with #Gemini, simply by asking questions of your data in natural language, will unlock exciting new levels of efficiency and deeper analysis for more stakeholders.
https://t.co/tpZD5apeQh
#ConversationalAnalytics is now in preview for customers as part of #Gemini in #Looker. Have natural ๐จconversations ๐ฌ with your data, grounded in the truth of Looker's semantic layer.
https://t.co/82yKsxGaxy
Understanding the "New Places API" from #GoogleMapsPlatform. Relative to the legacy version, there are a lot of additional attributes and details available to provide more relevant & meaningful location data to your users.
๐https://t.co/igGB6Lh71X
While certainly not an exhaustive list, here are 12 tips on planning a #SIEM migration, taken from the #GoogleCloudSecurity team's whitepaper: ๐ฐ "The Great SIEM Migration: A guide to ditching dinosaurs"
https://t.co/tOVYLJ48S9
The "Secure AI Framework" (SAIF) from #GoogleCloud provides a conceptual framework and practical approach to addressing the #cybersecurity concerns and mitigating risks uniquely associated with #AI and #GenAI workloads. https://t.co/voqKIwPHeu
There is a lot of talk about Securing AI (for good reason), but let's explore how AI in Security is transforming #SecurityOperations Centers https://t.co/GP1xkckxvR
While it's geared for #GoogleWorkspace, the "Prompting Guide 101" ebook is a great starter guide regardless of your #genai platform of choice https://t.co/bhnaslChlR
#Gemini, #LLM Model Garden, and more... Quick read provides overview of Generative AI with Vertex AI on Google Cloud Platform: https://t.co/p08uJCcOJK #vertexai#googlecloud
Generative AI on Vertex AI, including Gemini and other foundational models, can be accessed via Workflows orchestration platform on Google Cloud Platform: https://t.co/WEDSu5TZbb
๐พ Context caching is here for our Gemini 1.5 models!
Context caching is particularly well suited to long-context scenarios where an initial large input is referenced repeatedly by shorter requests. Gemini gives you the ability to cache millions of tokens to inform your outputs!
Especially useful for tasks like:
๐ค Chatbots with extensive system instructions
๐ฝ๏ธRepetitive analysis of lengthy video files
๐ Recurring queries against large document sets
๐ Frequent code repository analysis or bug fixing
Try it today!