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International Conference on Big Data and Machine Learning for IT Risk Management (ICBDMLITRM-26)

14th - 15th August 2026 Oslo, Norway
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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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Access to Conference Sessions

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

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The deadline for Standard Participation has ended. Participants may continue with Virtual Registration to join the conference remotely.
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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 9 SDG 10 SDG 11 SDG 12 SDG 16
01 Advancements in Big Data Analytics for IT Risk Management
This track focuses on the latest methodologies and technologies in big data analytics that enhance IT risk management practices. Contributions should explore innovative approaches to data processing and analysis that improve decision-making in risk assessment.
02 Machine Learning Techniques for Cybersecurity Enhancement
This session will delve into the application of machine learning algorithms in identifying and mitigating cybersecurity threats. Papers should highlight novel techniques that leverage machine learning for real-time threat detection and response.
03 Predictive Analytics in IT Infrastructure Risk Assessment
This track invites research on predictive analytics frameworks that assess risks within IT infrastructures. Submissions should demonstrate how predictive models can forecast potential vulnerabilities and inform proactive risk management strategies.
04 Intelligent Systems for Data Protection and Security
This session will explore the development and implementation of intelligent systems aimed at enhancing data protection. Contributions should focus on AI-driven solutions that address data security challenges in various IT environments.
05 Cloud Computing and Its Implications for IT Risk Management
This track examines the intersection of cloud computing technologies and IT risk management practices. Papers should discuss the unique risks associated with cloud environments and propose frameworks for effective risk mitigation.
06 AI Algorithms for System Optimization in Risk Management
This session focuses on the application of AI algorithms to optimize systems involved in risk management. Contributions should highlight how AI can enhance operational efficiency and improve risk assessment outcomes.
07 Data Security Analytics: Techniques and Applications
This track invites discussions on data security analytics techniques that enhance the protection of sensitive information. Papers should present case studies or frameworks that demonstrate the effectiveness of these techniques in real-world scenarios.
08 Frameworks for Integrating Big Data and Machine Learning in IT Risk
This session will explore comprehensive frameworks that integrate big data and machine learning into IT risk management processes. Contributions should outline best practices and methodologies for effective implementation.
09 Threat Detection Systems: Innovations and Challenges
This track focuses on the latest innovations in threat detection systems and the challenges faced in their deployment. Papers should discuss emerging technologies and methodologies that enhance the accuracy and speed of threat detection.
10 Risk Assessment Methodologies in the Age of Big Data
This session will examine contemporary risk assessment methodologies that leverage big data analytics. Contributions should highlight how these methodologies improve the identification and evaluation of IT risks.
11 Ethical Considerations in AI and Machine Learning for IT Risk
This track invites papers that discuss the ethical implications of using AI and machine learning in IT risk management. Submissions should address concerns related to data privacy, bias, and accountability in automated decision-making processes.