Accelerating AI and Analytics: The Future of Data Processing with Josh Patterson
- Date
- 2024-06-28
- Host
- Outerbounds
About this event
AI is changing how data gets processed, analyzed, and acted on—and the pace is only increasing. If you want a clearer view of where modern analytics is headed, and what that means for real systems, real teams, and real decisions, this event is built for you. Accelerating AI and Analytics: The Future of Data Processing with Josh Patterson brings together people who care about the next wave of data infrastructure, intelligent systems, and applied AI. Expect a grounded, in-person evening focused on how advances in AI are reshaping analytics workflows, autonomy, and the broader data stack. About the Event This is an in-person community event centered on the future of data processing through the lens of AI and analytics. The conversation is designed for people who want substance: where the field is going, what is changing in practice, and how to think about the systems that will support the next generation of intelligent applications. Rather than treating AI and analytics as separate tracks, this event connects them. It looks at how machine intelligence, large-scale data handling, and modern analytical approaches increasingly depend on one another—and why that matters for builders, technical leaders, and curious professionals trying to stay ahead of the curve. With Josh Patterson as the featured speaker, the evening offers a chance to hear a perspective shaped by deep experience in the space. The goal is not abstract hype, but a practical and forward-looking discussion of how data processing is evolving and what that evolution means for people working in and around technology. Because this is also a community and networking event, the format is likely to support both learning and conversation. You will have the opportunity to engage with the topic, meet others with overlapping interests, and continue the discussion beyond the formal program. What to Expect You can expect an evening that balances insight, discussion, and connection. The core of the event will focus on AI, analytics, and the future of data processing, with room for both high-level ideas and practical implications. A typical flow for an event like this may include: Arrival and informal mingling before the main program A featured talk or presentation from Josh Patterson Exploration of major themes in AI-driven analytics and data systems Discussion of how autonomy and intelligent processing may shape future workflows Time to connect with other attendees interested in AI, tech, and applied data work The content should be especially relevant if you are thinking about questions like: How is AI changing the architecture of data processing? What does faster, smarter analytics actually look like in practice? Where are automation and autonomy creating new possibilities? How should technical teams prepare for shifts in tools, infrastructure, and expectations? Because the event is in person, expect a more dynamic experience than a passive webinar. You will be in a room with people who are actively thinking about many of the same problems and opportunities, which often leads to sharper questions, better conversations, and more useful follow-up connections. Why Attend If you work near data, AI, analytics, or product strategy, this event offers a strong way to sharpen your thinking. You are not just showing up to hear broad predictions—you are putting yourself in a setting where the future of data processing is the central topic, discussed through a lens that is technical, timely, and connected to real industry movement. Attending can help you: Build a better mental model of where AI and analytics are headed Understand how advances in data processing may affect products, systems, and teams Get exposed to ideas that can influence your technical roadmap or learning priorities Meet other people interested in AI, autonomy, and modern data infrastructure Turn a broad trend into a more concrete understanding of what matters next This event is also valuable if you are trying to separate signal from noise. AI moves fast, and it is easy to get stuck in headlines or tools without stepping back to understand the deeper shifts underneath. A focused event like this creates space for that broader perspective. And beyond the content itself, there is the benefit of proximity: being around peers, practitioners, and curious builders in person. Good events do more than transfer information—they help you find your people, compare notes, and leave with a stronger sense of direction. Practical Details This event takes place in person on Thursday, June 27 at 7:00 PM PDT. If you prefer live conversation, real-time questions, and the kind of networking that happens more naturally face to face, this format will be a strong fit. Plan to arrive a little early if you want time to settle in and meet other attendees before the main session begins. In-person events often reward early arrival, especially when the audience shares overlapping interests in AI, tech, autonomy, and analytics. The event is especially well suited to attendees who want both content and community. You can come to learn, to network, or ideally to do both: hear a thoughtful perspective on the future of data processing, then continue the conversation with others who care about where technology is going. If this topic sits anywhere on your map—whether as part of your day job, your technical curiosity, or your next career step—this is a strong room to be in on a Thursday evening.
Who should attend
This is for you if you want a sharper, more practical view of how AI is changing analytics and data systems—and you would rather explore that in a room with other thoughtful people than skim another trend piece online. - **You work in data, engineering, ML, or analytics** and want to understand how AI is influencing the future of processing, infrastructure, and decision-making. - **You are a technical leader, founder, or product-minded operator** thinking about how intelligent systems and automation may affect your roadmap, team, or platform. - **You are building with AI or exploring autonomous systems** and want more context on the data side of that work, including what needs to evolve behind the scenes. - **You enjoy substantive tech talks** that go beyond surface-level excitement and help you think more clearly about where the field is actually headed. - **You want to meet people in the local AI and tech community** who share your interest in analytics, modern data processing, and applied innovation. - **You are curious, ambitious, and early to important shifts**—the kind of person who likes to understand a change while it is still taking shape, not after everyone else has caught up.