Google Cloud Platform1.17 млн
Следующее
Опубликовано 5 ноября 2021, 18:15
Scaling a business that sorts through millions of documents daily across a global operation can be hard. The vast majority of enterprise content still resides in unstructured sources like documents. Customers across industries have turned to Document AI to create and customize all of the specialized parsers to automate and validate documents to streamline workflows, reduce guesswork, keep data accurate, and compliant. They’ve also leveraged Cloud Structure Query Language (SQL) and BigQuery to scale databases effortlessly and access data across platforms. Watch as an overview of the new capabilities for Document AI are provided.
Resources:
Visit the Next '21 website → goo.gle/3i2ayO2
Speakers: Sudheera Vanguri, Nadia Aqsa
Watch more:
All sessions from Google Cloud Next → goo.gle/next21-allsessions
All the sessions from Google Cloud Tech → goo.gle/next21-googlecloudtech
Watch all AI & ML sessions → goo.gle/next21-AIML
Subscribe to Google Cloud Tech → goo.gle/GoogleCloudTech
#GoogleCloudNext
AI200
product: Cloud - Databases - Cloud SQL, Cloud - AI and Machine Learning - Document AI; event: Google Cloud Next 2021; fullname: Sudheera Vanguri, Nadia Aqsa; re_ty: Publish;
Resources:
Visit the Next '21 website → goo.gle/3i2ayO2
Speakers: Sudheera Vanguri, Nadia Aqsa
Watch more:
All sessions from Google Cloud Next → goo.gle/next21-allsessions
All the sessions from Google Cloud Tech → goo.gle/next21-googlecloudtech
Watch all AI & ML sessions → goo.gle/next21-AIML
Subscribe to Google Cloud Tech → goo.gle/GoogleCloudTech
#GoogleCloudNext
AI200
product: Cloud - Databases - Cloud SQL, Cloud - AI and Machine Learning - Document AI; event: Google Cloud Next 2021; fullname: Sudheera Vanguri, Nadia Aqsa; re_ty: Publish;
Свежие видео
Enhance data access governance with enforced metadata rules in Amazon DataZone | Amazon Web Services