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Date: Tue, Aug 20, 2024; Time: 10:00 AM–12:00 PM EST. Masterclass discussing how AI is transforming L&D, HR, and Legal roles, with emphasis on prompting AI tools and applying AI across training, talent management, and legal research. What you will learn: Introduction to AI in L&D, HR, and Legal Roles; How to prompt AI tools for desired results; Improved training and development with AI; Utilizing AI for effective talent management; AI for legal research and case management.

Abstract: In this talk, we'll explore how the Ruby and Rails community is uniquely positioned to lead the next wave of software development innovations, powered by artificial intelligence. With a focus on the expressiveness and developer-centric nature of Ruby, we'll discuss how these qualities make it an ideal candidate for integrating AI into the development process. We'll delve into the concept of Prompt-Driven Development, where developers shift from writing extensive code to defining application behavior through high-level, declarative prompts. This approach not only speeds up the development process but also enhances maintainability and scalability by leveraging AI to handle complex coding tasks dynamically at runtime.

AI and hybrid cloud are increasingly influencing IT infrastructure priorities and strategy. AI is becoming mainstream, yet data access, quality, management and privacy challenges remain. Hybrid cloud has become the norm, and 39% of data breaches studied resulted in the loss of data across multiple environments including public cloud, private cloud, and on-prem. As businesses modernize applications, they are looking to innovate and deploy as-a-service in best-fit environments to improve business outcomes. IBM Infrastructure plays an important role for our clients; it's where data, security, performance and flexibility meet mission-critical needs, particularly in regulated industries. Join Hillery Hunter, CTO and General Manager, Innovation for IBM Infrastructure to see our latest solutions and learn how we are helping clients deliver new value with future-ready infrastructure.

Learning Journey - Session 4 of the Certification Study Group for Google Cloud Professional Machine Learning Engineer certification. Speakers: Roya Kandalan (Senior Research Scientist, Aware, Inc.); Maddie Shang (Sr. AI Research Engineer, OpenMined); Linda Kovacs (Software Engineer, Accenture).