Name: Data Journeys: Key Bank
Start: 2023-07-28T16:00:00Z
End: 2023-07-28T16:00:12.000Z
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).


In today's fast-paced, digital world, enterprises require modern databases that are not only powerful and secure but also highly available, easy to manage, scale, and ready to support our gen AI driven future. Join us for this insightful webinar to explore the value of fully managed Cloud SQL and how it can help you achieve improved performance, increase data security, and access higher availability for your mission-critical applications, while freeing your IT team to focus on what matters most. Hear firsthand how Workday boosted performance with Cloud SQL to support their evolving business.

Modernize Your Database with Cloud SQL: Reduce Costs and Boost Performance

As a database professional, you’ll be impressed by how much AI-powered assistance can change the way you work. Gemini simplifies every stage of the database journey, from development and performance optimization to fleet management, governance, and migration. In this session, we'll cover how generative AI can transform your database workflow and offer insights into database performance, security, reliability, and cost. We’ll use development-oriented and administration-oriented examples to show how Google Cloud databases can help you to build without limits.

How Gemini makes it easier to develop and manage databases using AI

Data teams often struggle with the complexity of managing multimodal data along with multiple tools for processing, analyzing and governing data. Learn how a unified data and AI platform like BigQuery can simplify your data journey and accelerate AI innovation. Hear about the latest innovations in real-time ML, governance, security and more to help you deliver timely insights and informed decision-making. Learn how to build data agents grounded in your enterprise data with language models (LLMs) hosted in Vertex AI with native BigQuery integrations.

Use BigQuery to connect all your data to AI

Unlock the potential of generative AI in your applications with Google Cloud's robust database solutions. Discover how AlloyDB, Cloud SQL, Spanner, and more offer built-in integrations with vectors, models, and data. Explore the benefits of fast and powerful vector search, seamless integration with Vertex AI and popular open source tools like LangChain, and direct access to Gemini and other cutting-edge AI models. We'll dive into a real-world generative AI application to understand how it leverages operational data to deliver accurate and relevant responses

Build new and exciting gen AI apps with Google Cloud databases

In the age of data overload, traditional BI tools often create barriers to insight. Looker's AI-driven platform is changing the game. This presentation showcases Looker data agents that empower users to explore data using natural language, and AI capabilities that automate insights and recommendations. Discover how Looker is democratizing access to data and transforming decision-making for organizations of all sizes.

Chat with your data for AI-powered insights

The data to insights journey can be fragmented, complex and time consuming. Data teams spend time on repetitive and routine tasks such as ingesting structured and unstructured data, wrangling data in preparation for analysis, and optimizing and maintaining pipelines. Join this session to learn how Gemini in BigQuery can supercharge your analytics with AI-powered experiences such as data preparation, analysis and engineering throughout the data journey, as well as intelligent recommendations to enhance user productivity and optimize costs.

Boost data analysis with Gemini right within BigQuery

Maximize the potential of your real-time data and accelerate AI/ML with multimodal streaming data. Join this webinar to learn how Google Cloud's managed streaming platform, Dataflow, can help your data engineering team bring the power of real-time for advanced data and AI streaming use cases. Hear from Google Cloud Dataflow customer Transmit Security on how they bulit a cutting-edge fraud detection system with Google Cloud streaming ML product Dataflow, leveraging the power of cloud computing and advanced analytics to move beyond traditional rule-based systems to a more dynamic, AI-driven model that can identify and respond to threats as they emerge.

Real-Time Data, Real-World AI

Modern applications need speed, scalability, and advanced capabilities to handle the influx of data and meet today’s user expectations. In this session, you will discover how in-memory databases are essential for addressing these business challenges. Additionally, Moloco will share their various use-cases for Memorystore

The Need for Speed in Modern Applications

Data analytics is transforming as organizations increasingly embrace AI and ML. Join us for an interactive digital roundtable discussion in which Google Cloud leaders explore the evolving landscape of data and AI with industry analyst Doug Henschen, VP at Constellation Research. You’ll learn about the latest trends shaping the industry, the challenges organizations face in harnessing the power of data and AI, and Google Cloud's unique perspective on addressing these challenges.

Key Discussion Points:

- Trends in Data & AI: Uncover emerging trends in data analytics and AI/ML that are transforming businesses across industries.
- Customer Challenges: Gain insights into the common pain points organizations encounter when implementing data and AI solutions, such as data silos, talent shortages, and integration complexities.
- Real-world solutions: Hear directly from Google Cloud experts on how leading organizations are tackling these challenges head-on.
- Evaluation criteria: Understand the key factors to consider when evaluating analytics and AI platforms.

This is your chance to engage in a candid conversation with industry analysts and Google Cloud leaders, gaining valuable insights and perspectives to inform your own data and AI strategies. Register today and be part of this enlightening discussion!

Exploring the Data & AI Landscape: Unveiling Industry Trends, Practical Challenges, and Expert Insights

Data is the fuel for AI, and what powers its effectiveness. To truly take advantage of generative AI in your organization, you need the ability to access, manage, and activate your structured and unstructured data across a variety of systems.

Join Google Cloud's Sami Akbay, Head of Outbound Product Management, Data and Analytics, and Joyeeta Banerjee, Data Analytics Head of Solution Value Advisory, as they discuss the benefits of connecting all your data to AI to empower customers to make more insightful decisions, act faster, and drive better business outcomes.

Get the ins and outs from these data and AI experts to accelerate your journey and discover what steps your organization should take to tap into AI.

Is your data strategy built for AI?

Generative AI is rapidly transforming how businesses operate. But how can leaders measure ROI on a constantly evolving technology? Join leaders and industry innovators as they reveal how proven strategies and quick wins are driving immediate value while laying the foundation for future breakthroughs. Learn how to prioritize today's proven use cases, manage the nuance of measurement, and build your own roadmap to generative AI ROI.

How to Build Your Optimal Gen AI Roadmap for ROI

The first step to building all-new customer experiences is to select the operational database that will power your application and, in essence, run your business. Google Cloud databases help you transform the customer experience and unlock the full potential of generative AI, setting the stage for your AI-powered applications.

Join our product management leadership for this exclusive live session to learn about the latest innovations, strategy and plans for Google Cloud databases, such as how we are infusing generative AI into databases and Gemini in Databases. Hear directly from the experts who are shaping the future of AlloyDB, Cloud SQL, Spanner, Bigtable, Firestore, Memorystore, Database Migration Service (DMS) and Datastream.

Databases Roadmap 2024: Innovations for the gen AI era

Your company is ready for generative AI. But is your data? In the AI-powered era, many organizations are scrambling to keep pace with the changes rippling across the entire data stack.

In this live webinar, our Google Cloud experts will share findings from a recent survey of business and IT leaders about their goals and strategies for harnessing gen AI—and what it means for their data. 

Topics we will cover: 
- How gen AI will speed the delivery of insights across organizations
- The blurring of data and AI roles
- Why AI innovation will hinge on strong data governance
- How operational data will unlock gen AI potential for enterprise apps
- Why 2024 will be the year of rapid data platform modernization

2024 Data and AI Trends Live Webinar

FullStory is a leader in digital experience analytics, capturing user events and signals that help its customers understand the sentiment implied by every user action in real-time and use AI to deliver better personalization outcomes and improved user experiences. Join us to learn how Fullstory weaves large data streams into actionable insights and for take-home some inspiration on how to take your digital customer experiences to the next level.

How Fullstory makes every click count with Google Cloud

Data is the fuel for AI, and what powers its effectiveness. To truly take advantage of generative AI, you need to ground AI in your enterprise data, which can help you drive data-informed decision-making, streamline operations, and enhance customer experiences.  

Join Sean Zinsmeister, Director of Outbound Product Management at Google Cloud, for an exciting use case demo with a fictitious coffee business that showcases the art of the possible from applying AI to analytics with a full end-to-end walkthrough of Google Cloud’s united AI platform (BigQuery, Looker and Vertex AI together).  During this demo Sean will discuss how data and AI can: 

Transform Customer Interactions:
    > Analyze customer sentiment in reviews for targeted improvements
    > Generate realistic customer interactions for training and testing


Optimize Operations and Marketing:
     > Pinpoint optimal event locations using real-time data
     > Automate localized marketing campaigns for multiple cities


Innovate with Data-Driven Insights:
     > Discover new menu items through image recognition and sales data
     > Optimize truck routes based on real-time weather conditions
     > Experience the power of Gemini-powered dashboards for self-service analytics

Wake Up & Smell the Data: Brewing Innovation with Gen AI & Data Platforms

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

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

With 400 analytics users working in 40 different workspaces running heaps of monthly and quarterly forecasting and risk models to manage $145B in assets, Key Bank needs elasticity, speed, and a consistent environment for its data in order to succeed. That's exactly what they found in Google when they started looking for a solution for cloud computing. Listen as  EVP Chief Data Officer, Divisional CIO, and Head of Enterprise Mike Onders discusses the bank's data journey, plus some lessons learned.

Data Journeys: Key Bank

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Data Journeys: Key Bank

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