5th World Tech Summit on Big Data, Data Science and Machine Learning – Orlando 2026

5th World Tech Summit on Big Data, Data Science and Machine Learning – Orlando 2026 - GNcrypto

The 5th World Tech Summit on Big Data, Data Science and Machine Learning convenes in Orlando, Florida on April 13-14, 2026. The CPD-accredited conference focuses on innovative applications of big data and machine learning across industries.

Organized by Aver Conferences, the event focuses on innovative applications of big data and machine learning across clinical, engineering, pharmaceutical, and technology sectors. The conference targets researchers, industry professionals, and academics working at the intersection of data science and emerging technologies.

Aver Conferences operates as an international events organizer specializing in clinical, medical, life science, engineering, and technology conferences. The organization provides a platform for researchers, scientists, and industry professionals to present findings and exchange methodologies. The conference follows a scientific session framework, with participants submitting abstracts aligned with predefined research tracks.

Conference Structure and Target Audience

The Orlando summit addresses professionals working with automation, robotics, artificial intelligence, and data engineering. The attendee profile includes:

  • Academic leadership (deans, department heads, board members)
  • Research scientists and faculty across universities
  • Automation and robotics engineering professionals
  • Machine learning specialists and AI developers
  • Pharmaceutical industry researchers
  • Data analysts and engineers
  • Directors of research-based companies

The conference operates with a scientific session framework, where participants submit abstracts aligned with predefined research tracks. Abstract submissions follow three rounds: the first deadline is August 28, 2025, the second closes December 21, 2025, and the final round accepts submissions until March 26, 2026.

5th World Tech Summit on Big Data, Data Science and Machine Learning – Orlando 2026 - GNcrypto
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Scientific Sessions and Presentation Format

Aver Conferences structure the summit around thematic scientific sessions covering machine learning methodologies, big data infrastructure, AI integration in clinical settings, robotics automation, and predictive analytics applications. Participants present research findings, case studies, and implementation frameworks during scheduled session blocks.

The CPD (Continuing Professional Development) accreditation allows professionals to claim educational credits for attendance and participation. This certification structure makes the event relevant for practitioners required to maintain professional credentials in data science, engineering, and medical technology fields.

Registration and Participation

Interested participants can review the full list of scientific sessions and submission guidelines on the conference website. Abstract submissions and registration inquiries are handled through [email protected].

The conference operates as a forum for cross-sector exchange – pharmaceutical researchers present alongside robotics manufacturers, academic AI labs share findings with corporate data engineering teams, and emerging technology creators connect with investment community members. This structure reflects Aver Conferences’ focus on cross-sector knowledge exchange.

About Aver Conferences

Aver Conferences organizes scientific and medical conferences globally, covering clinical research, life sciences, engineering, and technology sectors. The organization’s conferences feature editorial boards and advisory panels composed of academicians, industry leaders, and researchers. The series focuses on research dissemination across academic institutions, corporate research labs, and fast-growing technology companies.

The Orlando summit represents the fifth iteration of the World Tech Summit series focused on big data and machine learning applications. Previous conferences addressed similar audiences across medical, engineering, and technology sectors, maintaining a format centered on abstract presentations, panel discussions, and networking sessions structured around scientific session themes.

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