Name: Data and AI Cloud for marketing use cases
Start: 2024-05-02T16:00:00Z
End: 2024-05-02T16:00:53.000Z
Location: BrightTALK
Rating: 0

Google’s Data and AI Cloud is not only the most complete and unified data analytics and AI solution provider in the market but also a total-cost-of-ownership (TCO) leader. Learn more about Google Data Cloud and how it can help you transform your business.  It supports various data use cases (e.g. applications, analytics, predictions, visualizations) through products that cater to different data personas (e.g. application developers and system builders, data engineers and data analysts, data scientists and ML engineers, and business users).


Discover how analytics and AI can revolutionize decision-making and unlock new growth opportunities, from predicting customer behavior to optimizing operational efficiency. Google Cloud BigQuery enables you to consolidate all your data and integrate it with cutting-edge AI, providing transformative insights while reducing your TCO by up to 54% over three years.
Veo, a company dedicated to making clean transportation available to all through electric bikes and scooters, has embraced this transformation. To accelerate data-driven innovation and enhance operational efficiency, Veo migrated its data and analytics workload to BigQuery. Join our webinar, to hear from Tim Velasquez, Head of Analytics at Veo about:
• Veo's data analytics strategy that drives their core vision
• The reasons behind their migration from a legacy data warehouse to BigQuery
• Best practices and lessons learned in building a data-driven organization

How Veo Supercharged Data Strategy by Migrating to BigQuery

Generative AI presents an incredible opportunity to unlock innovation across your business. Your data needs AI, and your AI needs data; requiring organizations to fine-tune models and ensure they are grounded in business reality using their own enterprise data. Join this Data Cloud community live webinar to learn more from product engineering about the latest innovations from Google’s Data Cloud for generative AI, including updates for BigQuery, Looker, and AlloyDB for PostgreSQL.

Join this live webinar to learn:
- How you can use BigQuery ML for training, tuning, and grounding LLMs using integration with Vertex AI
- How to build enterprise gen AI apps with AlloyDB, including broad support of vector search and ecosystem support for LangChain across databases
- About the latest innovations to activate data and AI-driven insights with Looker

Google’s Data Cloud Innovation Live Webinar

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

Over 40% of organizations cite disparate analytics tools, data sources, and poor data quality as their biggest challenges — and the onset of generative AI has only made it more of a priority. Organizations are increasingly looking for:
• The ability to access, manage, and activate structured and unstructured data across diverse storage environments 
• Flexibility and scalability to run any type of data, anywhere, while continuously adapting to evolving consumer needs. 
• Seamless integration of data with the latest AI/ML technologies - using AI for deeper data understanding, using data to enhance AI systems and performance, or swiftly combining both to tackle new challenges. 
Google Cloud BigQuery helps you unify data and connect it with groundbreaking AI to unleash transformative insights in a single, streamlined solution. It empowers you to develop modern, data-driven applications using popular open-source engines and models. It also provides powerful AI/ML and generative capabilities that are readily available for your data, enabling users of all skill sets to easily access the data they need and unlock its value quickly. All of this is delivered with enterprise-grade efficiency, scalability, and security. 

Join this webinar to learn:
• Best practices of building a AI-ready data foundation
• How to lower your data analytics cost of ownership by up to 54%
• Why Gartner positioned Google’s data cloud and BigQuery as a leader

Reimagining data analytics in the AI era

Google Cloud is transforming businesses for our customers by helping them develop modern generative AI applications that are highly available, resilient, and scalable. In this webinar, you’ll learn how Google Cloud databases help you build and run your mission-critical applications with integrated generative AI capabilities, how customers are migrating away from old guard databases to modern open source databases, and how to achieve the best price performance for your workloads.

Modernizing your Database Estate with AI

Looker is Google Cloud’s enterprise business intelligence (BI) platform that enables organizations to make better business decisions faster. Join this live webinar to learn about our latest product innovations, including a single unified BI offering, new features around generative AI, and new capabilities for the Looker Platform.

During this webinar we will discuss our latest product vision and roadmap, and how Looker is helping customers to:

- Accelerate time to insights with a modern, cloud-native platform
- Democratize data access and empower users to explore data on their own with ease
- Drive business transformation with actionable insights

Looker Vision, Strategy, and Roadmap for 2024

In the era of AI, the role of a data analyst is evolving rapidly from analyzing complex datasets to predicting outcomes such as customer behavior or product sales. This trend is largely driven by the increasing availability of large datasets and the development of more sophisticated machine learning algorithms. Data analysts are now able to use these tools to identify patterns and trends in data that would be impossible to detect manually.
However, building and using AI models can be challenging for data analysts. You often need to learn advanced coding languages such as Python, build pipelines to move data from analytics to AI tools, and be able to import ML models into analytics tools.
To help accelerate the path to AI adoption, BigQuery provides built-in capabilities that allow you to create, train, and execute machine learning models using simple SQL. BigQuery ML supports a broad range of ML models, including built-in models, models trained in Vertex AI, and imported custom models.
In this webinar, you will see a live demo of BigQuery ML and learn how to:
• Create and use machine learning models in BigQuery ML using simple SQL
• Apply Google's best-in-class AI models, such as PaLM 2, to your data right inside BigQuery
• Deploy models and operationalize ML workflows without moving data from BigQuery

How Data Analysts Can Build and Run AI Models Using BigQuery ML

Discover how generative AI can help deliver new value in your business.

Generative AI is different from other forms of AI that have come before because of its ease of use in helping solve everyday problems in people’s personal or professional lives. Yet, right now, only 15% of business and IT decision makers feel they have expert knowledge in this fast-moving area. 

This webinar will not only bring you up to speed, but it will help you chart a clear path forward for adopting generative AI in your business. Hear from our Vice President of Strategic Industries, Carrie Tharp, Philip Moyer, Global VP,  AI Business & Solutions, and Donna Schut, Head of Technical Solutions Management, Generative AI as they discuss use cases that can help you chart the right path, including topics such as:

- A quick primer on generative AI
- Step-by-step guide to getting started
- KPIs to measure generative AI’s impact
- Industry-specific and top general use cases to get started with including customer stories from Deutsche Bank, TIME, and more.
- Bring your AI questions to this live interactive panel discussion. 

Dive in today to discover how generative AI can help deliver new value in your business.

The Executive’s Guide to Gen AI Webinar

Hear from Booking.com’s Engineering Manager Warren Qi on how his team supports pay-per-click ads bidding across billions of messages a day with Google's Data and AI Cloud. Learn about their data modernization journey and the top three ways Warren and his team are using BigQuery and Dataflow to push the limits on large-scale data processing.

How Booking.com modernized its large scale ads data systems with 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

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 Gen AI 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

Delivering relevant campaigns while making your budget work as efficiently as possible and navigating multiple marketing channels can be challenging — but when done well, it can yield results you’ll want to brag about. Join Google Cloud experts to learn how you can get a more holistic view of your customers, use that view to better predict their behaviors, and ultimately create the personalized experiences they’ll love. Google Cloud can help you reduce data silos, unlock new AI capabilities that can help you get more efficiency with your ad spend, and increase ROI. Tune in to learn how.

Get More, Spend Less, and Delight Your Customers: Data & AI Cloud for marketing

Spikey workloads are no match for Climate Engine, a satellite-powered analytics hub dedicated to helping companies assess and prevent climate risks. Bennett Kanuka, Climate Engine's CTO and all-around data science warlock, guides us through the cost-reducing and labor-saving integrations of BigQuery and GKE Autopilot. In conversation with Bruno Aziza, we'll find out the best practices of autoscaling to best avoid any hazards, climate or otherwise.

Autoscaling and the secrets of climate risk assessment

Join Ryan de Melo of Tokopedia, an Indonesian company that started as a digital marketplace and has since grown to cover fintech, payment, and new retail as well. Recently, de Melo's team migrated their seller analytics engine over to a Google Cloud stack—and dropped their computing costs by 25% as a result. Watch the episode to learn more and to hear de Melo's best (and worst) data practices.

Data Journeys: Tokopedia

Bruno Aziza is joined by Sanjeev Mohan, Principal at SanjMo - a company that helps organizations discover opportunities for market advancement and growth by providing independent insights into their data analytics, internal processes, customer feedback, and competition. Mohan talks about rejecting one-size-fits all solutions, the ease of autoscaling, and workload efficiency with compressed storage through BigQuery for cost savings.

SanjMo talks optimizing cost and performance with Google Cloud

As an early player in the customer data platform arena, Lytics is unique for using 100% real-time data, having a rich legacy of AI and machine learning with Vertex, and being built entirely within Google Cloud Platform. Jascha Kaykas-Wolff, President of Lytics, joins Bruno Aziza to talk about how packaging and additions like autoscaling from BigQuery have increased performance at Lytics by 15% and cut costs by 20%.

How Lytics cut costs by 20% with Google Cloud

Delivering relevant campaigns while making your budget work as efficiently as possible and navigating multiple marketing channels can be challenging — but when done well, it can yield results you’ll want to brag about. Join Google Cloud experts to learn how you can get a more holistic view of your customers, use that view to better predict their behaviors, and ultimately create the personalized experiences they’ll love. Google Cloud can help you reduce data silos, unlock new AI capabilities that can help you get more efficiency with your ad spend, and increase ROI.

Data and AI Cloud for marketing use cases

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Data and AI Cloud for marketing use cases

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