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Oracle Industry Playbooks are a comprehensive set of technology planning, deployment, and optimization standards, strategies, and tools designed to help organizations across 22 industries govern, accelerate, and maximize their success. Oracle Industry Playbooks are an extension of the Oracle Playbook—a collection of strategies and learnings from the past 20 years that have enabled Oracle to grow revenue while increasing operating margin. Oracle Industry Playbooks explain how to remain relentlessly focused on the processes and systems that matter most in each industry to achieve more with less.

At Oracle, we are committed to ensuring our Partners are set up for success. Grow your business, deliver value to our customers, and strengthen your relationship with us through a unified approach that highlights the differentiated value of our combined expertise.

Oracle has brand new sales play and use case materials are available now, designed to be clearer and more actionable to start using the stronger multicloud story right away to differentiate your proposals. 
You can find the updated Sales Play and Use Case content below.

This Journey will help you learn more about Cash Flow Engine Cloud Service.

This Journey will help you learn more about Funds Transfer Pricing Cloud Service.

OCI Generative AI Agents are transforming customer experiences by offering personalized, efficient, and engaging solutions.
This lab helps learners to experience OCI Generative AI Agents core functionalities.
 

Build pipeline and close more deals! Watch these bootcamp sessions with discovery questions, value propositions, and use cases to drive successful customer conversations.

Build pipeline and close more deals! Watch these bootcamp sessions with discovery questions, value propositions, and use cases to drive successful customer conversations.
 

Explore this CCACS Journey for a deep dive into its fundamentals, features, and functionalities.

Partners can now expand their professional services when partnering with Oracle to deliver Oracle database services on Oracle Cloud Infrastructure in Microsoft Azure. 

This journey will focus on the products and services of Oracle Database@Azure, Exadata Cloud Service, analyst review, success stories, and information on pricing and additional resources. It will also help you to walk a customer through the high availability, disaster recovery, Zero Downtime Migration, capabilities with Oracle Database@Azure.

Expand each section title to explore all the training included.

Artificial intelligence (AI) represents a serious technological breakthrough.
AI is the key to innovation and a sustainable competitive advantage. Demonstrate Oracle Artificial Intelligence capabilities by highlighting its powerful and proven platform for developing, deploying, and managing enterprise-grade AI solutions that meet both, customers who require out-of-the-box solutions, as well as enterprises who leverage advanced the power of Oracle services to build their own solutions.
At your own pace, you’ll gain a comprehensive understanding of the foundation of Oracle Artificial Intelligence services. You will also get access to the latest AI labs created to help you understand and demonstrate the different services included in this stack.

Expand each section title to explore all the training included.

This hands-on lab will allow Sales Reps and Solution Engineers to understand and demonstrate Oracle Machine Learning (OML).
With Oracle Machine Learning (OML), customers can run machine learning algorithms inside of an Oracle database. This is an important strategic advantage for Oracle and it's customers because data does not need to be moved from the database to some other tool to do machine learning.
This lab will demonstrate the value of OML algorithms for doing regression analysis, categorization, clustering and more. It will also demonstrate the value of including this functionality in modern data-drive applications.

Discover the value of Oracle Data Science, a fully managed platform for data scientists to develop and manage machine learning models.

In this lab you will learn how easy it is to step through and execute a Notebook in Oracle Data Science. Get familiar with the key features of the Accelerated Data Science (ADS) SDK and perform basic operations in a Notebook.

Data labeling is a crucial step in developing AI and machine learning models, but it can also be time-consuming and expensive. In fact, it can take up to 75% of the time and resources involved in developing an AI or machine learning model.

This lab is designed to show how easy it is to build an image classification model using Data labeling and OCI Vision. 

In this lab you will learn the fundamentals of OCI Vision services and how to position it as a solution for your customers.

You will be able to demonstrate OCI Vision capabilities across different industries, such as healthcare, automotive, financial services, industrial manufacturing, and energy.

This lab is designed to show how easy it is to build a Next-React app with Oracle 23c as the backend. React is a JavaScript library that offers a huge ecosystem, with a wide range of features and tools, and tremendous community support. Next.js is a JavaScript framework designed to be used with React. It offers file system based routing, server-side rendering, better SEO, and much, much more. Together, Next and React are the most popular front-end development environments for building modern, data-driven applications. This lab allows you to demonstrate to customers how their developers can easily build Next-React applications using Oracle Database 23c as the backend.

This is the short version of the Lab - Oracle Next React DB23c Features, which steps take aprox. 45 minutes. 

This lab is designed to show how easy it is to build a Next-React app with Oracle 23c as the backend. React is a JavaScript library that offers a huge ecosystem, with a wide range of features and tools, and tremendous community support. Next.js is a JavaScript framework designed to be used with React. It offers file system based routing, server-side rendering, better SEO, and much, much more. Together, Next and React are the most popular front-end development environments for building modern, data-driven applications. This lab allows you to demonstrate to customers how their developers can easily build Next-React applications using Oracle Database 23c as the backend.

Organizations face challenges in managing identity and access effectively across their Oracle Cloud Infrastructure (OCI) and multi-application environments. The complexity of authentication, single sign-on (SSO), and identity lifecycle management results in inefficient access control, security vulnerabilities, and user frustration. 

Empower organizations to ensure secure and convenient access to applications for employees, business partners, and customers while maintaining robust identity and access controls.

With the surge of SaaS applications and IoT devices, the promise of the connected digital enterprise is greater than ever. The time for manually creating each new application integration from scratch has passed. Integrating SaaS applications can now be easily completed by LOB application users and applications IT developers. This enables users to develop, deploy, and run applications without the cost and complexity of deploying and managing the underlying infrastructure. In fact, Gartner anticipates that integration work accounts for 50% of the time and cost of building a digital platform.

In this lab, you'll see how to win customers by demonstrating the power of Oracle Integration (OIC) application integration capabilities. You'll discover how to integrate applications quickly by leveraging OIC's industry-leading pre-built adaptor library. Walkthrough videos and setup instructions are provided to assist you to complete the hands-on lab at your own pace.
 

Explore this PACS Journey for a deep dive into its fundamentals, features, and functionalities. Gain proficiency with the comprehensive introduction and coverage of the following capabilities:

1. Getting Started with Oracle Financial Services Profitability Analytics Cloud Service
2. Oracle Financial Services Profitability Analytics Cloud Service Maintenance
3. Oracle Financial Services Profitability Analytics Cloud Service Reports
4. Oracle Financial Services Profitability Analytics Cloud Service Data Administration

Demonstrate value by showing customers how to load data into an Oracle database without requesting assistance from IT or a database administrator. 

Applications require data for development, testing, viewing, manipulating, and reporting. Line of business customers typically rely on IT support teams or DBAs to get data into a database. However, they are usually backlogged with more critical business requests so it would be great if there was an easier way for customers to do it themselves.

Demonstrate value by showing customers how to customize their data management solutions by selecting and enabling key capabilities that are already included with the Oracle database.

Customers are faced with a wide range of data management solutions from multiple vendors that specialize in big data, analytics, business intelligence, and others. Each of their applications might require one or more specialty, and many businesses subscribe to single purpose database services to address those needs. Managing multiple vendor solutions is always a challenge.

Process automation has become an integral part of every business. According to McKinsey, approximately 31% of businesses have fully automated at least one business function. Therefore, with the growing integration of automation into various business processes, modern organizations must understand the advantages of business process automation.

In this lab, you’ll see how to win customers by demonstrating the power of OCI Process Automation (OPA). You will discover how to quickly automate approval workflows for a pizza chain to help them accelerate its ingredient ordering process without coding requirement.  

This workshop starts with a napkin design of data structures we would like to use for a proof-of-concept. Using Quick SQL you will quickly define the data structures and utilize various table and column directives to better define the tables and also create some dummy data. You will then be creating an application based on the new tables. Lastly, you will be updating some of the generated components to improve the initial app.