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Home AI Innovations

AI Collaborate 2025 Preview: Insights, Innovation, and Opportunities in AI

AiNEWS2025 by AiNEWS2025
2025-11-16
in AI Innovations
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AI Collaborate 2025 Preview: Insights, Innovation, and Opportunities in AI
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This article is sponsored by NLP Logix and was written, edited, and published in alignment with our Emerj sponsored content guidelines. Learn more about our thought leadership and content creation services on our Emerj Media Services page.

Event Title: AI Collaborate 2025

Event Host: NLP Logix

Location: Florida, USA

Date: November 12-13, 2025

What’s Happening?

AI Collaborate 2025 will take place on November 12–13, 2025, in Ponte Vedra Beach, Florida. The theme for this year, “Smooth Sailing,” reflects the conference’s focus on helping organizations navigate today’s rapidly changing AI environment.

Hosted by The King Tide Foundation and sponsored by NLP Logix, the invite-only event brings together experts and leaders in AI, data science, and machine learning to exchange ideas, share real-world success stories, and discuss responsible innovation.

This year’s two-day program features expert-led sessions, panels, and interactive discussions on topics such as:

  • GenAI Do’s and Don’ts
  • Agentic AI and RPA
  • Interactive Vibe Coding Session
  • AI Discovery and Transformative Use Cases
  • AI Assistants in the Workplace: Opportunities and Challenges
  • Emerging Trends and Future Predictions in AI

What’s New This Year?

AI Collaborate 2025 builds on the momentum of previous editions with deeper discussions around responsible GenAI implementation and the emergence of agentic systems. The event will highlight how AI is moving beyond experimentation toward measurable business impact — especially in areas such as automation, workforce productivity, and decision intelligence.

For the first time, organizers also announced that the 2026 edition will be open to public registration, expanding participation beyond invited guests. This transition marks a milestone for the conference, signaling its growing role in shaping open, cross-industry dialogue on AI innovation and ethics.

Inside the Agenda

The two-day conference is structured around practical insights and collaboration. Attendees can expect:

  • Keynote sessions unpacking real-world examples of AI deployment and lessons learned from enterprise adoption.
  • Panel discussions exploring topics like agentic AI, RPA, and the future of AI in the workplace.
  • Interactive sessions such as the Vibe Coding workshop offer hands-on exposure to emerging technologies and coding practices.

Ahead of the event, NLP Logix leaders emphasized the importance of collaboration and clarity in today’s AI environment:

“My goal for Collaborate is that everyone who attends walks away with something they can take back to their organization—something that helps them work smarter, improve a process, or spark change,” said NLP Logix Co-founder and CIO Matt Berseth. “ The focus is, of course, on AI, but that can mean different things. Maybe it’s developing a clearer understanding of what AI is and how to reason about it, or identifying a project that needs to be reprioritized because of the opportunities AI now presents. Ultimately, the goal is for every attendee to leave with ideas they can turn into real value.”

– Matt Berseth, Co-Founder and CIO at NLP Logix

“The biggest challenges—or ‘storms,’ if you will—come from a lack of planning around AI deployment and methodology, mismanaged expectations, and data governance issues, including risks related to corporate or client data. Using the navigation analogy, if you don’t know where you’re going with these AI tools, the journey won’t go smoothly. That’s why it’s critical to have a clear adoption plan, defined goals, and a way to track progress. These elements are essential for what we mean by ‘smooth sailing.’”

– Russel Dixon, Strategic Advisor at NLP Logix

Tune into the ‘AI in Business’ podcast this week to hear Matt and Russell discuss challenges and strategies for successful AI deployment in enterprises surrounding the issues of tool creep, shadow AI, and the need for strategic planning:


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