COMMON POWERUp 2024

Abstract forthcoming

AI can be used in many different ways, from creating robots to helping with medical diagnoses. From automating mundane tasks to improving decision making and predictive analytics.  

AI can also be used to automate mundane tasks, such as data entry or customer service.

See how AI can help businesses save time and money, as well as improve customer service.

CI/CD is empowering teams to release code faster. But what does testing mean in the world of AI? Intelligent testing is the introduction of AI to the continuous testing process and could transform how IBM® i organizations approach development and testing for IBM i+ environments.

Learning Objectives:
Join us in this session, where we will cover:
o The next stages in the evolutionary journey of testing and how AI will make an impact
o What is happening today as a precursor to AI
o How you can set up your organization to take advantage of AI in your test cycles if and when you’re ready.

Ai, its all the buzz, but what if you really could start to leverage AI in the automated management of your IBM i systems ? With the latest support from IBM and the Instana product, combined with tools like Prometheus and Ansible, you now have options for monitoring virtual any metric you can dream up, combined with powerful alerting capabilities and AI to help determine the best corrective action via Ansible. In this session we will review these technologies, as well as show demos of this in action.

Join Profound Logic CEO Alex Roytman for a thought-provoking discussion on the transformative potential of integrating AI with your IBM i systems. Alex will showcase real-world examples and provide practical steps to seamlessly incorporate AI technologies, ensuring businesses not only keep pace with current trends but also pioneer future advancements. You will learn:

• The fundamentals of Large Language Models (LLMs)
• AI integration strategies for Documents, Db2 Data, and IBM i Programs
• Techniques to enable LLMs to perform intricate tasks beyond simple question answering
• Simple ways AI can enhance user experience to make your IBM i applications more intuitive for end-users

Attend this session to discover how AI can revolutionize your IBM i applications and lead your business into a new era of innovation and efficiency. Come explore the possibilities and unlock the full potential of your systems!

Open AI and specifically Online GPT has captured the latest in IT headlines. In this session we will discuss the history of Open AI, how it has matured and the goals of the team behind the technology. We'll also explore (speculate) on its impact to education, finance and most assuredly, Information Technology. We'll wrap up with a live demo of the Copilot application and how it might add productivity to the typical IBm i shop, but at what cost?

Learning Objectives:

In this technical session, we will explore the various ways in which artificial intelligence (AI) can be leveraged to modernize and enhance development practices. We will delve into real-world examples of how AI can be integrated into day-to-day development tasks, enabling developers to achieve higher coding velocity, improve code hygiene, generate test data, and automate documentation generation.

Key Points Covered:
• Examples of AI in Day-to-Day Development Practices: We will showcase practical use cases where AI can be applied to streamline and optimize development processes. These examples will highlight the tangible benefits that AI brings to software development.

• Using AI to Improve Coding Velocity: Learn how AI-powered tools can accelerate the coding process, automate repetitive tasks, and provide intelligent code suggestions. Discover techniques to boost productivity and efficiency through AI-driven development environments.

• Enhancing Code Hygiene with AI: Explore how AI can assist in maintaining clean and high-quality code. Discover tools and techniques that leverage AI algorithms to analyze code for potential bugs, vulnerabilities, and best practices, enabling developers to improve code quality and minimize technical debt.

• Test Data Generation using AI: Understand how AI techniques can be utilized to generate realistic and diverse test data, enhancing the effectiveness of software