Name: Analyze documents in BigQuery with Document AI
Start: 2024-06-18T16:00:00Z
End: 2024-06-18T16:00:07.000Z
Location: BrightTALK
Rating: 0

Discover how Google Cloud can help your business drive growth while saving money, simplifying operations, and mitigating risk.

Unlock the power of your audio data! This video demonstrates how BigQuery's integration with Cloud Speech-to-Text lets you transform audio files – think customer calls, interviews, feedback – into structured text transcripts. Analyze this data at scale within your data warehouse, fueling smarter decisions and deeper customer understanding.

In this video, you'll learn how to connect BigQuery to audio files in Cloud Storage, transcribe that audio using simple SQL, and combine it with other structured data in your warehouse. Watch a real-world example, as we transcribe customer support calls and gain actionable insights from their contents.

Analyze audio in BigQuery with Speech-to-Text

Discover the power of semantic search! With BigQuery's vector search capabilities, you can analyze unstructured data like text, images, and videos based on their underlying meaning. Explore how machine learning transforms your data into numerical representations called embeddings, making it possible to find connections that traditional keyword searches often miss.

In this video, you'll learn how BigQuery seamlessly generates embeddings from unstructured objects and enables semantic search using familiar SQL functions. See a real-world example as we use these techniques to search a non-labeled product image catalog with text.

BigQuery vector search and embedding generation

Experience the magic of Large Language Models (LLMs) like Gemini, applied to your BigQuery data at scale! BigQuery's Vertex AI integration empowers you to use the Gemini models to analyze unstructured, semi-structured, and structured data - using just SQL.

In this video, you'll learn how Gemini models can help you generate new insights, enrich your datasets, and even analyze multimodal content including images, videos, and text. You'll see an end-to-end demo in BigQuery Studio that analyzes a dataset of images, generating structured content and fusing in world knowledge to augment data understanding.

Analyze data in BigQuery using Gemini models

Data governance is essential to succeed in the digital age, but it's one of the most difficult challenges that organizations face.

In this webinar, Google Cloud Data Stewardship Lead, Shuba Lall, will discuss how businesses can build a successful data governance foundation, and leverage AI to scale risk mitigation and detection.  

During this 30 minute webinar, you will learn how to:

-Develop a data governance policy 
-Use AI tools to help manage data more effectively
-Develop an AI risk framework

Better Data Governance with Responsible AI

Investing in the AI Platform of the future: Vertex AI, powered by Google Cloud

AI advancements are triggering one of the most significant technological shifts in history, with many companies adopting an AI-first mindset to gain a competitive edge. For those looking to build differentiated products and services, activate data, and create a culture of AI innovation, investing in an AI Platform with the necessary end-to-end capabilities provides the foundation to innovate faster. 

Attend this webinar to hear from our guest speakers from Forrester and Google Cloud leaders on: 

-Forrester’s Predictions for 2024, including how AI platform budgets will increase to support enterprise teams. 
-Findings from the commissioned study conducted by Forrester Consulting, “The Total Economic Impact(™) of Google Cloud Vertex AI”, including how customers achieved a 397% ROI using Google Cloud’s Vertex AI. 
-Continued investments to make Vertex AI the platform of choice for building enterprise-grade Generative AI

Investing in the AI Platform of the future: Vertex AI, powered by Google Cloud

Google empowers developers to build GenAI apps in minutes! Join this webinar & learn how Vertex AI Search & Conversation simplifies building search & chatbot apps, boosting efficiency & reducing hallucinations. No more data prep, chunking, or complex ML tasks - build & automate with ease!

Accelerate Your GenAI Journey: Build GenAI applications in minutes

Existing data architectures don’t meet the needs of the AI era. With Google Cloud’s data platform, developers can unlock the full potential of AI projects.

Dive deep into our suite of tools designed to streamline data ingestion, prep, and management. Learn how to leverage BigQuery, Vertex AI, and other powerful services to build, train, and deploy AI models faster and more efficiently. This webinar will equip you with the knowledge and resources to conquer data challenges, accelerate development cycles, and bring your AI vision to life on Google Cloud.

Accelerate Your AI Development with Google Cloud's Data Platform

In today's rapidly evolving landscape, harnessing the potential of AI has become crucial for businesses to deliver competitive products and services. Delivering AI models that are flexible, efficient and price performant is becoming table stakes for AI Engineering teams yet many teams still grapple with framework and infrastructure decisions to architect an AI Platform that meets their long term needs.  

In this session, we’ll explore how Kuberernetes is becoming an infrastructure framework of choice for AI Platforms and how Google Kubernetes Engine using Google Cloud’s leading AI Infrastructure can deliver the scalability, performance and efficiency required to successfully deliver AI innovation to your customers.

Unlocking AI Innovation: Deploying GenAI models on GKE

In this webinar, Shelly Hershkovitz, Product Manager, Google Cloud, Apigee explains why securing APIs is a major concern for businesses today, and how Apigee API Management addresses any use case at any scale in order to protect business from constant threats.

How Can You Avoid the Next API Security Headline?

New advancements in Gen AI can help ISVs unlock new revenue streams, personalized experiences, cost savings and more. To help you build a strong data foundation and accelerate your path to Gen  AI adoption, Google Cloud brings the approach of organizing world’s information and making it universally accessible and useful to your organization. Google’s data and AI Cloud is built with and for AI, so that you can get to use the latest tools for training, tuning, and deploying your choice of AI models.

Join this webinar to hear from the BigQuery Product Management team how the 1,000+ software partners whose solutions are built with BigQuery can leverage the latest AI/ML features to rapidly deliver GenAI experiences. You’ll learn:
-How to apply Google’s foundational AI models to your data right inside BigQuery
-How BigQuery Studio, which includes a new notebook experience, can accelerate data and AI workflows from data ingestion and preparation to analysis, exploration, and visualization — all the way to ML training and inference
-How to generate and store text embeddings using SQL commands

How ISVs can accelerate Gen AI adoption with BigQuery

In today's data-driven world, organizations are scrambling to adopt generative AI technology to gain a competitive edge. However, only a fraction of businesses are genuinely prepared to embrace this transformative technology. The primary obstacle lies in the complexity of existing tech stacks, often composed of a patchwork of modern and legacy infrastructures, hindering seamless access to critical data and services.

Google Cloud's Apigee API Management emerges as a game-changer, providing a unified platform to simplify access to data and functionality through robust APIs. Join us for this insightful webinar as we delve into how Apigee can build, optimize, and protect your APIs.

Supercharge Your Generative AI Readiness With APIs

Are you ready to discover how a small and mighty business conquered the challenges of modern commerce through the power of AI and Google Cloud?

Join our webinar to explore how the collaboration between California Design Den and Pluto7 harnessed Google Cloud's AI muscle to revolutionize supply chain dynamics. You will learn about:

-How California Design Den pivoted from traditional retail to thriving in the e-commerce realm, and the challenges they tackled along the way.
-Discover how AI-powered data analytics provided California Design Den with the tools to predict demand, optimize inventory, and elevate decision-making.
-Peek into the future of small and medium sized business with the emergence of Generative AI and other groundbreaking technologies that will shape the landscape.

If you're looking to harness AI, streamline operations, and future-proof your business, this is your opportunity.

Generative AI: The Next Frontier for Business Innovation

Migrating apps to the cloud presents a unique opportunity to enhance security, reduce costs, and simplify operations for your business. Whether your apps are built on open source or commercial databases, our managed database service, Cloud SQL, is designed to accelerate your ability to innovate and streamline your migration to the cloud. 

Join our webinar to hear directly from Google Cloud Databases Product Manager Isabella Lubin on how to migrate and modernize your apps with Cloud SQL. You’ll discover: 

- How Cloud SQL enables innovation with your choice of MySQL, PostgreSQL, and SQL Server database engines
- The ways Cloud SQL reduces risk with industry-leading observability, data protection, and governance made easy
- How real customers have increased availability and cost efficiency since making the move

Lower Database Costs and Innovate Faster with Cloud SQL

Being a manufacturer in today’s volatile economy is a massively complex undertaking. To navigate this environment, we will share our top three transformation areas for manufacturers in 2023. Hear from the experts who are on the cutting edge of technology trends around  financial resiliency, optimized production, and sustainability. All fueled by the power of cloud.

From the CEO’s Agenda: Top 3 Business Transformation Areas for 2023 (EN)

Learn how people, processes, and a data-driven mindset can deliver on your organization’s revenue and growth objectives – without compromising security nor “breaking the bank."

How to get the most out of your cloud investments

Moving to the cloud shouldn’t derail your developers or send them back to coding class. Whether you’re migrating your applications or building from scratch, it’s never been easier to adopt a fully-managed cloud database service. Leave the patching and backup scripts behind, and migrate your self-managed databases without missing a beat. 

Hear from our Google Cloud Database Product Manager Mohsin Imam on:
Why Google Cloud is the best bet for your database modernization needs
The key factors driving our customers to migrate their database environments to the cloud 
Leveraging our assessments, tools, programs, resources and technology partners to de risk your migration journey and make it an easy and cost-effective experience 

During the webinar, you’ll also have the opportunity to get your questions answered by Google Cloud experts in our live Q&A.

Migrating Databases with Google Cloud

Migrating apps to the cloud presents a unique opportunity to enhance security, reduce costs, and simplify operations for your business. Whether your apps are built on open source or commercial databases, our managed database service, Cloud SQL, is designed to accelerate your ability to innovate and streamline your migration to the cloud. 


Join our webinar to hear directly from Google Cloud Databases Product Manager Isabella Lubin on how to migrate and modernize your apps with Cloud SQL. You’ll discover: 


How Cloud SQL enables innovation with your choice of MySQL, PostgreSQL, and SQL Server database engines
The ways Cloud SQL reduces risk with industry-leading observability, data protection, and governance made easy
How real customers have increased availability and cost efficiency since making the move

BigQuery Integrations with Vertex AI

Turn your documents into actionable data! This video explores the power of BigQuery's integration with Document AI. Learn how to transform unstructured documents – think invoices, contracts, forms – into neatly structured tables within your data warehouse, unlocking smarter insights using familiar SQL syntax.

In this video, you'll learn to connect BigQuery with unstructured documents in Cloud Storage. You'll see how Document AI's advanced processors extract important data and bring it into BigQuery for analysis. See a real-world example as we parse e-commerce invoices and gain insights into customer orders.

Analyze documents in BigQuery with Document AI

BigQuery

Artificial Intelligence

Google

Cloud

Cloud Storage

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Analyze documents in BigQuery with Document AI

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