International Conference on

Big Data and Machine Learning for IT Innovations (ICBDMLITI-27)

Conference Date

22nd Feb - 23rd Feb 2027

Conference Venue

Crete, Greece

Conference Mode

Hybrid Conference
Proudly organized by:- Science Leagues

"Join global experts in Big Data and Machine Learning for IT Innovations"

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Conference Programme

Tentative Conference Agenda

Explore the proposed two-day programme developed around the conference Session Tracks and aligned United Nations Sustainable Development Goals.

Conference Format Hybrid Conference In-person and virtual participation
Programme 2 Days 22–23 February 2027
Academic Scope 11 Tracks Conference Session Tracks
Research Scope 20 Areas Call for Papers themes
SDG Alignment 5 SDGs SDGs 8, 9, 11, 12 and 16
Tentative Agenda & Timings

Session timings, sequence, track grouping and allocations are tentative and subject to change. Final timings will be confirmed closer to the conference. All timings follow the local time of the conference location.

Day 01

Opening, Keynote & Technical Sessions

22 FEB 2027 HYBRID
  1. 09:00 AM 09:30 AM

    Registration, Welcome Kit Collection & Virtual Check-in

    Participant arrival, credential verification and virtual lobby access.

    HYBRID
  2. 09:30 AM 09:45 AM

    Networking Tea & Digital Welcome

    Informal networking for on-site and virtual participants.

    HYBRID
  3. 09:45 AM 10:30 AM

    Welcome Address, Opening Plenary & Keynote Presentation I

    Opening of the conference and introduction to its research focus.

    PLENARY
  4. 10:30 AM 12:30 PM

    Concurrent Technical Session I

    3 TRACKS
    Track 01
    Advancements in Big Data Analytics
    912
    Track Overview

    This track focuses on the latest methodologies and technologies in big data analytics. It aims to explore innovative approaches that enhance data processing and interpretation for improved decision-making.

    Track 02
    Machine Learning Algorithms for IT Solutions
    89
    Track Overview

    This session will delve into the development and application of machine learning algorithms tailored for IT innovations. Participants will discuss the effectiveness of these algorithms in solving complex IT challenges.

    Track 03
    Data Processing Techniques in Cloud Computing
    911
    Track Overview

    This track examines the various data processing techniques employed in cloud computing environments. It will highlight the scalability and efficiency of these techniques in handling large datasets.

  5. 12:30 PM 01:30 PM

    Lunch & Networking Break

    Refreshment interval and networking opportunity.

    BREAK
  6. 01:30 PM 03:30 PM

    Concurrent Technical Session II

    3 TRACKS
    Track 04
    Predictive Analytics in Information Technology
    89
    Track Overview

    This session aims to explore the role of predictive analytics in enhancing IT operations and strategies. Attendees will share insights on how predictive models can drive innovation and efficiency.

    Track 05
    AI-Driven Innovations in IT Infrastructure
    911
    Track Overview

    This track investigates the integration of artificial intelligence in modern IT infrastructure. Discussions will focus on how AI can optimize performance and security within IT systems.

    Track 06
    Data Governance and Security in Big Data Systems
    16
    Track Overview

    This session addresses the critical aspects of data governance and security in big data environments. Participants will explore frameworks and best practices to ensure data integrity and compliance.

  7. 03:30 PM 04:00 PM

    Interactive Q&A, Day 1 Summary & Group Photo

    Closing interaction and key takeaways from the first day.

    CLOSING
Day 02

Keynote, Technical Sessions & Awards

23 FEB 2027 HYBRID
  1. 09:00 AM 09:15 AM

    Participant Check-in & Day 2 Welcome

    On-site attendance confirmation and virtual lobby access.

    HYBRID
  2. 09:15 AM 10:00 AM

    Keynote Presentation II

    Expert address on the future of the conference research domain.

    PLENARY
  3. 10:00 AM 12:00 PM

    Concurrent Technical Session III

    3 TRACKS
    Track 07
    Scalable Computing Solutions for Big Data
    912
    Track Overview

    This track focuses on scalable computing architectures designed to handle the demands of big data applications. It will cover innovative solutions that enhance processing capabilities and resource management.

    Track 08
    Intelligent Systems and Machine Learning Applications
    912
    Track Overview

    This session will explore the intersection of intelligent systems and machine learning applications. Participants will discuss case studies showcasing the impact of these technologies in various sectors.

    Track 09
    Data Modeling Techniques for Enhanced Analytics
    912
    Track Overview

    This track emphasizes advanced data modeling techniques that facilitate better analytics outcomes. It will cover methodologies that improve data representation and analysis.

  4. 12:00 PM 01:00 PM

    Lunch & Networking Break

    Refreshment interval and professional networking.

    BREAK
  5. 01:00 PM 03:00 PM

    Concurrent Technical Session IV

    2 TRACKS
    Track 10
    IT Optimization through Advanced Analytics Frameworks
    89
    Track Overview

    This session focuses on the use of advanced analytics frameworks for optimizing IT operations. Participants will share insights on how these frameworks can lead to enhanced performance and reduced costs.

    Track 11
    Innovative IT Solutions Leveraging Big Data
    912
    Track Overview

    This track highlights innovative IT solutions that leverage big data technologies. Discussions will center on real-world applications and the transformative potential of big data in IT.

  6. 03:00 PM 03:30 PM

    Publications, Best Paper & Best Presentation Awards

    Publication guidance and recognition of outstanding research contributions.

    AWARDS
  7. 03:30 PM 04:00 PM

    Valedictory Session, Closing Remarks & Group Photo

    Conference summary, acknowledgements and formal conclusion.

    CLOSING
Aligned SDGs
8 Decent Work and Economic Growth 9 Industry, Innovation and Infrastructure 11 Sustainable Cities and Communities 12 Responsible Consumption and Production 16 Peace, Justice and Strong Institutions

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