Name: Turn Data Into Value with Google Cloud and Forrester
Start: 2022-08-16T05:00:00Z
End: 2022-08-16T05:00:27.000Z
Location: BrightTALK

Discover why leading businesses choose Google Cloud. Whether your business is early in its journey or well on its way to digital transformation, Google Cloud can help you solve your toughest challenges.

The focus of generative AI (GenAI) in application development—notes Paul Nashawaty, Principal Analyst at Enterprise Strategy Group (ESG)—is shifting towards creating systems that demonstrate adaptability, domain-specific expertise, and seamlessly collaborate with their human counterparts. 

Although we are still in early innings—with 24% of respondents to ESG’s GenAI survey stating they are in the pilot phase—integrating GenAI into the development lifecycle unlocks myriad advantages.  

Here’s one: offloading time-consuming developer chores by accelerating code generation. Nashawaty predicts that 51% of code will be created with GenAI.

To ensure your company fosters responsible application development and innovation with GenAI, watch this exclusive talk between Nashawaty and Richard Seroter, Chief Evangelist at Google Cloud. The two experts walk through:
• 10 GenAI cases in app dev 
• GenAI adoption levels and future predictions
• Features and benefits of Duet AI in Google Cloud for AI-assisted software delivery

Generative AI Set to Empower Innovation in Application Development

Modern application development and delivery bring a unique set of security challenges. Find out how Google Cloud can help shift security to the left with a holistic solution to enhance your security posture along the software supply chain from dependencies to deploy.

Improve software supply chain security of your containerized applications

Google Cloud empowers Supply Chain teams to manage better forecast demand and inventory planning needs with advanced AI, powered by Vertex AI. Hear from Google Cloud’s North American Supply Chain & Logistic Director and o9 Global Product Marketing VP on how they are partnering to bring supply chain intelligence to industries. 

Agenda:
Keynote: The Future of Supply Chain Planning & Analytics
- From the rapid rise of ecommerce, to labor shortages, to geopolitical  and macro economic tensions - CPG & Retail supply chains are being impacted in a myriad of ways. Join us as we share how companies have solved key inventory planning challenges by leveraging AI driven demand forecasting to bring agile, smarter decision making to daily supply chain operations.

o9 Integrates with Google Cloud’s Vertex AI Forecasting to Accelerate and Improve CPG and Retail Supply Chain Forecasting
- Hear how o9 integrated Google Cloud’s Vertex AI Forecast into their Digital Brain solution to solve forecast accuracy problems and ultimately reduce risk, improving financial performance. The Vertex AI Forecast offering, when integrated into the o9 Digital Brain’s open architecture framework, providing a more comprehensive supply chain solution.The end result helps ensure that demand will be met without running the risk of having excess and obsolete inventory.

How The Home Depot runs one of the world’s most interconnected supply chains
- Join us for a conversation with Chris Smith, Vice President of IT Supply Chain at The Home Depot to discuss the impacts of technology, data and AI on supply chain management in today’s retail landscape.

Key Takeaways & Next Steps
- Summary of learnings and actionable steps you can take.

Supply chain planning with AI

Join us for the “Power Your Business with Modern Cloud Apps: Strategies and Best Practices” webinar where we’ll share helpful practices and demonstrate how Google Cloud services like GKE, Apigee API, Anthos, and Cloud Run can simplify and streamline your application development.

Once your workloads are containerized, a range of capabilities open up. Right from increased portability, less overhead, and faster development. Come learn how with Google Kubernetes Engine and Cloud Run, Google Cloud provides the best place to run containers at scale, securely.

Containers: A better way to build, deploy and manage apps

Data is growing at an explosive rate, both in the velocity of new data creation and the constant addition of new data types and sources. This rapid change in stored data forces organizations to focus on the core fundamentals of data security and cost, too often ignoring the inefficiencies experienced when trying to use the data to enable future revenue. The result is an unrealized value stored in secondary data. Many have adopted on-prem Apache Hadoop to store and process this data along with Apache Spark. While these solutions provide the base functionality needed, they quickly become limiting. In this session, learn how organizations can increase the value of insights queried in data while lowering costs and complexity by deploying Google Cloud Dataproc.

Join this webinar to hear:
- Top challenges that companies are facing when setting their data lake strategy 
- How companies are realizing economic efficiencies by moving off-prem
- How having a flexible foundation allows companies to innovate faster and enables future  data science workflows

Drive more value from big data with Google Cloud

Run production-grade Kubernetes clusters with the click of a button or a single API call. We’ll explore the latest innovations to autopilot mode in Google Kubernetes Engine that makes it easy to optimize and run your apps in minutes.

New features to Make Running Apps on K8s Even Easier

Most companies are still struggling to operationalize AI and take meaningful action from their data. In just 25 minutes, you’ll explore the latest insights and strategies to help you transform your data through AI. We’ve learned from Google’s years of experience in AI development how to overcome common challenges. With successful AI strategies, we’re seeing customers from many industries and varying levels of ML expertise enhance and solve business-critical problems with AI-driven decision making.

Make the most of your data with AI | Data to AI

Leverage new cost-optimization features in Google Kubernetes Engine to save money. Join us to find out how you can use built-in insights to analyze the cost and performance of your workloads.

Innovations to Instantly Optimize App Costs

The past two years have taught us that "business as usual" is a thing of the past, exposing sharp differences between companies prepared for the digital economy and those that were not. Organisations are looking for ways to leverage their digital assets to best position themselves to succeed through disruption. In this session you will hear stories of different organisations that used business intelligence and analytics to successfully navigate their digital transformation journeys.

The Future of Business Intelligence

Learn how you can set up enterprise-grade security for your app right out of the box in this session. We’ll cover the latest security controls, hardened configuration, and policies for Google Kubernetes Engine.

Innovations to Strengthen the Security of Your Apps

Learn how the data explosion of the last decade has changed the analytics game and the future of data itself. In this webinar, we discuss the power of multi cloud computing, why data-sharing the old way won’t cut it anymore, how a business should structure its analytics department and how to take a data-first approach to building culture and teams.

Unlocking Opportunities with Data Transformation

Streamline and simplify your development journey with the latest Google Kubernetes Engine capabilities and practices offered by Google Cloud. In this session, you’ll learn about the latest innovations that can help you build apps faster.

How to Develop Apps Faster on K8s

Gartner reports that by 2025, cloud-native platforms will serve as the foundation for more than 95% of new digital initiatives—a sizable increase from 41% in 2021. Continuous cloud application development buoys this staggering stat.  However, re-platforming existing apps and establishing new protocols for cloud-native development is a significant task.  In this session, Technology Practice Lead Andrew Haschka, alongside two other experts, explains in-depth how Google’s Cloud Application Modernization Program (CAMP) greatly simplifies this otherwise tedious process.  Regardless of where your cloud journey stands, tune in to view an app modernization blueprint, gain new insights and best practices, and view a demo of Google’s Cloud Run, Cloud Functions, Build, and Deploy capabilities.

Google Cloud's Application Modernisation Blueprint

Today’s data landscape is littered with siloed data sets, technology deployments, decision making, and funding. The datascape is more complex than ever, and for many, its complexity was exacerbated by the pandemic and its societal and economic consequences. In a recent IDC global survey research, more than 800 CDOs, CIOs, CTOs and data leaders gave their thoughts on how leading organisations are grappling with their data challenges. 

Join this webinar to hear from our guest speaker, Dan Vesset, Group Vice President, Analytics and Information Management from IDC as he discusses key findings from the survey research to overcome top organisation data challenges.  

Key takeaways from the IDC Global Survey Research: 

- Data challenges that companies are facing around the globe and what they're doing with their cloud data strategy
- How 83% of businesses improved on employee productivity, customer experience, and rate of innovation
- How leading organisations such as Australia Post, Equifax, PayPal, and Rakuten are staying ahead of the innovation curve

IDC Global Survey Research: Improving Cloud Data Strategy

According to Accenture, only 32% of companies reported being able to realise tangible and measurable value from data. This year, be the company that uses data to accelerate innovation. In this webinar, you will learn about top 2022 data trends, why Google data cloud is critical for your business and real-world examples of how a customer leverages data cloud to transform their business.

Turn Data Into Value with Google Cloud and Forrester

Data Best Practices

Big Data

Data Architecture

Machine Learning

Data Analysis

Cloud

Digital Transformation

Data Lake

Data Integration

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Turn Data Into Value with Google Cloud and Forrester

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