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International Conference on Big Data Analytics and Machine Learning Frameworks (ICBDAMLF-26)

24th - 25th August 2026 Austin, USA
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Join researchers, academicians, professionals, and industry experts to exchange ideas, strengthen academic collaboration, and explore research-driven practices across diverse disciplines.

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Participate in structured academic sessions, expert discussions, and professional knowledge-sharing opportunities.

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Benefits of Registering as Listener
Access to Conference Sessions

Attend keynote, plenary and technical sessions across relevant academic tracks.

Academic Networking

Connect with researchers, professionals, academicians and industry specialists.

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Receive an official participation certificate after successful attendance.

Invitation Letter Support

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Conference Materials

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Professional Insights

Gain practical and research-oriented insights from expert discussions.

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4 Terms & Condition
Refund, Cancellation, Postponement, Travel and Transfer of Registration:
Refund Policy:

If the registrant is unable to attend and is not in a position to transfer his/her participation to another person or event, then the following refund arrangements apply: Keeping given advance payments towards Venue, Printing, Shipping, Hotels, and other overheads, we had to keep the Refund Policy as the following slabs:

1. Cancellations made before 60 days of the conference are eligible for a full refund, subject to a $100 cancellation charge.
2. Cancellations made within 60-30 days of the conference are eligible for a 50% payment refund.
3. Cancellations made within 30 days of the conference are not eligible for a refund.
4. Virtual Participation registrations are non-refundable.

(a) The above refund policies are applicable only if the registrant has not received the official invitation letter for participation in the event, If the client receives the conference invitation letter but cannot attend the conference, no refund will be provided.

(b) If the client cannot attend the conference for any personal reasons, the registration fee is not refundable. However, the fee will be considered as a credit to participate in any of our international conferences within one year from the date of registration.

(c) In the event of a visa denial, travel reasons, or natural calamities preventing attendance, the registration fee will not be refunded. However, the fee will be considered as a credit to participate in any of our international conferences within one year from the date of registration.

(d) Since this conference is hybrid, the organizer reserves the right to conduct it in any format, physical or virtual. Refunds will not be provided for format changes.

(e) For participants who register close to the conference date or after the standard registration deadline, The registration will be considered for virtual participation only, as the conference is in hybrid mode. However, you will be eligible to attend one more international conference based on your registration category.

Cancellation Policy:

If the organizer cancels this event for any reason, you will receive a credit for 100% of the registration fee paid. You may use this credit for another event which must occur within one year from the date of cancellation.

Postponement of Event:

If the organizer postpones an event for any reason and you are unable or unwilling to attend on rescheduled dates, you will receive a credit for 100% of the registration fee paid. You may use this credit for another event which must occur within one year from the date of postponement.

Travel and Accommodation Responsibilities:

a) The responsibility for making and managing travel arrangements, including flights, transportation, and accommodation, lies solely with the individual participant.

b) In the event of any changes to the conference format, cancellation, or venue adjustments, the organizers cannot assume responsibility for any costs incurred by participants for travel or accommodation.

Transfer of registration:

All fully paid registrations are transferable to other persons from the same organization if the registered person is unable to attend the event. Transfers must be made by the registered person in writing to event@after.org.in. Details must include the full name of the replacement person, their title, contact phone number, and email address. All other registration details will be assigned to the new person unless otherwise specified. Registration can be transferred from one conference to another conference of the same organizer if the registrant is unable to attend one of the conferences

However, Registration cannot be transferred if it is intimated within 14 days of the respective conference. The transferred registrations will not be eligible for Refund.

Visa Information:

The organizer will not directly contact embassies and consulates on behalf of visa applicants. All delegates or invitees should take responsibility for their visa and travel arrangements. Important note for failed visa applications: Visa issues cannot come under the consideration of the cancellation policy of the organizer, including the inability to obtain a visa.

N.B:

All cancellations or modifications of registration must be made in writing to event@after.org.in

I agree and accept the Terms and Conditions of the website www.after.org.in

Conference Session Tracks

Aligned with United Nations Sustainable Development Goals

Our conference tracks support global knowledge exchange, innovation, and sustainable development priorities across diverse disciplines.

SDG 8 SDG 9 SDG 11 SDG 12 SDG 16
01 Advancements in Big Data Analytics
This track focuses on the latest methodologies and technologies in big data analytics. Researchers are invited to present innovative approaches that enhance data processing and interpretation.
02 Machine Learning Frameworks and Applications
This session explores various machine learning frameworks and their practical applications across different industries. Contributions that demonstrate the effectiveness of these frameworks in solving real-world problems are encouraged.
03 Cloud Computing for Big Data Solutions
This track examines the role of cloud computing in facilitating big data analytics. Papers should address scalability, performance, and security challenges associated with cloud-based data processing.
04 AI Algorithms for Predictive Analytics
This session delves into artificial intelligence algorithms specifically designed for predictive analytics. Submissions should highlight novel techniques that improve prediction accuracy and efficiency.
05 Data Integration Techniques in IT Systems
This track focuses on innovative data integration techniques that enhance the interoperability of IT systems. Researchers are encouraged to present solutions that address data silos and improve data accessibility.
06 Scalable Computing for Big Data Challenges
This session addresses the challenges of scalable computing in the context of big data. Contributions should explore architectures and algorithms that enable efficient processing of large datasets.
07 System Optimization in Machine Learning
This track investigates optimization techniques that enhance the performance of machine learning systems. Papers should present novel strategies for improving model training and inference times.
08 Automation in Data Analytics
This session focuses on the automation of data analytics processes through advanced technologies. Submissions should explore how automation can improve efficiency and reduce human intervention in analytics workflows.
09 Business Intelligence and Data Modeling
This track examines the intersection of business intelligence and data modeling. Researchers are invited to present frameworks that facilitate better decision-making through effective data representation.
10 Intelligent Systems for Data-Driven Insights
This session explores the development of intelligent systems that leverage big data for actionable insights. Contributions should highlight the integration of machine learning and data analytics in creating smart solutions.
11 Innovations in IT Infrastructure for Big Data
This track focuses on the innovations in IT infrastructure that support big data analytics and machine learning frameworks. Papers should discuss advancements in hardware, software, and network technologies that enhance data processing capabilities.