Application Integration Roadmap: The Future Ahead (March 19-20) - Global Sessions
Hi AI/ML Community, I'm excited to invite you to our Application Integration Roadmap: The Future Ahead session...
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Hi AI/ML Community, I'm excited to invite you to our Application Integration Roadmap: The Future Ahead session...
I am a user of Speech to Text. I use it in order to get a written text from the interviews and courses I shoot...
Good afternoon!I am a user of Speech-to-Text. I use it in order to get a written text from the interviews and ...
In Recommendations AI, I tried uploading the catalog from GCS. On uploading the catalog, I could see the catal...
I have an image where I have to do a multi-label classification and additionally count the number of a specifi...
I have added a Labeler Group to my Labeling task in Vertex AI but none of the members of the labeler group rec...
Hello,I'd like to know if Model adaptation feature is ready to use in production (custom classes, phrase sets,...
It appears that the default model for GCP Cloud Vision API has changed. Specifically, the current API results ...
Hi there,I have used GCP for a while now, and have trained quite a few models using AutoML Tables - all of the...
I registered myself for the google cloud text-to-speech service recently. Speech Studio worked just fine for t...
We're currently experiencing an ongoing issue where Bot conversations in our Facebook inbox are moving from ‘M...
Is there a way to assign IAM roles to datasets in Vertex AI so only certain people have access to certain data...
Is there a way to fast start-up GPU (like Cloud RUN) if there is training request come-in?Due to GPU cost is h...
Hi Team, I was going through the vision api document https://cloud.google.com/vision/docs/pdf to understand th...
Good day.Is it possible to list the Google APIs in the Artificial Intelligence, especially in the Voice recogn...
I'm using Safe Search API in Cloud Vision to detect adult or harmful pictures and don't let them pass to be pu...
Hi I have a query In Dailogflow if we enable enhanced speech feature, specifically, credit card info (i.e. num...
The voice/language options during conversion of long text files to speech. Can anyone help with the doc/sample...
Don't miss this great, free ML/AI learning opportunity! Crossposting from the Learning Forums: https://www.goo...
Even with auto Ml, should carefully custom split my data to my satisfaction or just leave it to AutoML? And wh...
I know that for AutoML, the user has to train the model. But are there existing "pre-trained" models that you ...
Hi CommunityFirstly I would like to congratulate all for the announcement of VertexAI.I am interested to know ...
Google Cloud Next conference is happening this year on October 12-14, 2021!What exciting new technologies are ...
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In many real-world applications, we encounter tasks that sit at the intersection of semantic understanding and contextual judgment. One such common scenario is determining if a set of keywords truly aligns with a brand, its products, and its messaging (like a tagline). This isn't just about whether the words are synonyms; it's about relevance in a specific context. Does "eco-friendly" align well with a fast-fashion brand's new line, even if the tagline mentions "sustainable materials"? Does "high-performance" fit a budget-friendly product?
Metadata is essential for various data initiatives, from deploying NLP solutions and chat with your data applications to enabling semantic search and establishing a business glossary. However, the manual effort of documenting every data attribute within a platform can be time-consuming and error-prone. At Google Cloud Next, we announced BigQuery Data Insights and Automated Metadata Generation, two powerful capabilities that simplify this process using Gen AI.
Ready to unlock the secrets hidden in your product data? This tutorial demonstrates how BigQuery Data Preparation can clean and transform your raw data into actionable business intelligence, using a realistic example from the Fashion and Beauty industry.