IEEE members are invited to an exclusive behind‑the‑scenes tour of the Novva Data Center in South Jordan, Utah, one of the region’s most advanced and sustainably engineered data facilities. This visit offers a rare opportunity to explore the cutting‑edge technologies that power large‑scale cloud infrastructure, AI workloads, and hyperscale operations. From cooling innovations to physical security systems, attendees will gain firsthand insight into how modern data centers are designed, built, and maintained. Space is limited to 15 participants, with a waitlist available once capacity is reached. Because of the small group size, attendees will have the chance to ask in‑depth questions, engage directly with Novva’s technical staff, and experience areas of the facility not typically accessible to the public. Beyond the technical learning, this tour is also a chance to connect and network with fellow IEEE members across disciplines and career stages. Whether you’re interested in data center engineering, power systems, networking, sustainability, or emerging technologies, this visit provides a meaningful way to expand your knowledge and strengthen your professional community. Agenda: 2:45PM: check-in 3:00PM:　tour start 6477 Wells Park Rd, West Jordan, Utah, United States, 84081

As Generative AI rapidly moves from experimentation into everyday workflows, professionals across technical and business roles are discovering new ways to improve productivity, accelerate decision-making, and reduce repetitive work. From software engineering and product management to communication, research, and operations, AI assistants are increasingly becoming practical collaborators in day-to-day work. Following our May session on “Security in AI,” the IEEE Orange County Computer Society GET-AI Series continues with a practical and demo-driven June session focused on how AI is transforming productivity across the modern workplace. --------------------------------------------------------------- 🔒 June Focus: Practical AI for Everyday Productivity [] As AI becomes integrated into modern workflows, organizations and individuals are leveraging AI tools to automate repetitive tasks, generate content, analyze information, accelerate software development, and streamline collaboration. This session combines business and engineering perspectives to demonstrate how AI assistants and coding copilots are reshaping the way teams think, build, communicate, and operate. --------------------------------------------------------------- Session 1: AI Productivity in Everyday Workflows (45 mins) Most professionals spend a significant portion of their workweek on repetitive tasks such as drafting emails, writing documents, debugging code, summarizing meetings, analyzing feedback, or preparing presentations. This session demonstrates how AI assistants such as Claude can act as practical productivity partners across both technical and non-technical workflows. Through live demonstrations, attendees will explore real-world scenarios including: Engineering Productivity - Understanding legacy code - Debugging production issues faster - Generating features from natural language requirements - Writing unit tests and pull request summaries Business & Product Productivity - Converting rough notes into structured PRDs - Extracting insights from customer feedback - Drafting stakeholder communications - Preparing executive presentations and interview guides The session concludes with a live audience challenge where a real attendee workflow problem will be solved interactively using AI. 👉 Takeaway: Learn practical prompting techniques and AI workflows that can immediately improve day-to-day productivity. --------------------------------------------------------------- Session 2: AI-Assisted Engineering & Modern Software Development (45 mins) AI is rapidly reshaping how engineers design, build, review, deploy, and operate software systems. This session explores how AI is evolving from a coding assistant into a practical engineering copilot across the software delivery lifecycle. Topics include real-world usage of: - Codex - Cline - MCP-enabled development workflows - GitHub, Bitbucket, and Confluence integrations The session also explores how AI can accelerate: - Pull request reviews - Design documentation - Architecture visualization using Mermaid and draw.io - Test generation - Troubleshooting and debugging A key focus will be AI-assisted spec-driven development, where AI helps bridge business requirements, technical specifications, implementation, and deployment workflows. The discussion includes: - Productivity gains and engineering trade-offs - Reliability considerations - Human oversight and governance - Practical lessons from enterprise adoption Rather than focusing on theoretical AI concepts, this session emphasizes practical engineering workflows and actionable techniques that architects, developers, and technical leaders can immediately apply. 👉 Takeaway: Understand how AI-assisted engineering workflows are transforming modern software delivery and learn practical approaches for enterprise adoption. --------------------------------------------------------------- About the Organizer Pradyumna Kodgi Principal Product Manager | Oracle Health & AI IEEE Senior Member | Vice Chair, IEEE EMBS – Orange County Member, IEEE AI Agentic Systems & AI Policy Committees 📍 California, USA 📧 pkodgi@ieee.org 🔗 linkedin.com/in/pkodgi Co-sponsored by: Pradyumna Kodgi Speaker(s): Pranay, Venkatesh Agenda: AI-Powered Productivity: Practical AI for Everyday Productivity AI is rapidly transforming how we work—from writing emails and generating reports to building applications, analyzing data, and accelerating software delivery. As AI assistants evolve into intelligent copilots integrated into everyday workflows, the question is no longer just what AI can generate—but how we can use it effectively to improve productivity and decision-making. In this interactive session, we move beyond AI hype and explore how modern AI tools are being used in practical, real-world scenarios across both technical and business environments. 🔍 What You’ll Explore - How Generative AI is reshaping modern work and productivity - The role of LLMs, AI copilots, coding agents, and prompt-driven workflows - Practical applications of AI across engineering, product management, communication, and operations - How AI-assisted tools can accelerate development, documentation, research, collaboration, and decision-making 💡 What Makes This Session Different This is not just a theoretical overview—you’ll see AI productivity workflows demonstrated live through practical, real-world examples. Through interactive demos and walkthroughs, attendees will experience how AI can: - Generate applications from natural language prompts - Assist with coding, debugging, and documentation - Transform rough ideas into structured business artifacts - Accelerate repetitive tasks and operational workflows 🛠️ Practical Takeaways You’ll walk away with actionable techniques and frameworks you can immediately apply, including: - Writing more effective prompts - Using AI assistants in day-to-day workflows - Leveraging coding copilots and AI productivity tools - Combining human expertise with AI-assisted automation 🎯 Who Should Attend - Software engineers and developers - Architects and technical leaders - Product managers and business professionals - Students and AI enthusiasts - Anyone interested in improving productivity using AI ✨ What You’ll Walk Away With - A practical understanding of modern AI productivity workflows - Real-world examples of AI-assisted engineering and business operations - Hands-on insights into prompt-driven application development - Strategies to responsibly integrate AI into everyday work As AI becomes increasingly integrated into modern workflows, productivity is no longer just about working harder—it’s about learning how to effectively collaborate with intelligent systems. This session will help you understand how AI can become a practical copilot for modern work. Virtual: https://events.vtools.ieee.org/m/561306