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International Conference on Big Data and Machine Learning in IT Infrastructure Management

24–25 May 2027 Salzburg, Austria Standard / Physical Participation
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$140
virtual · $200 in person
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Conference Programme and Participation Policy

Depending on accepted submissions and scheduling needs, the Organiser may combine compatible research themes across disciplines within an interdisciplinary or multidisciplinary programme that supports knowledge sharing, networking, and professional cooperation.

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 [email protected]. 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 [email protected]

Payments encrypted & processed securely. Refundable up to 14 days before the event.

What you'll hear about

Session tracks covered across the conference.

This track focuses on the latest methodologies and technologies in big data analytics. It aims to explore innovative approaches to data processing and visualization that enhance decision-making in IT infrastructure management.
This session will delve into the application of machine learning techniques to optimize IT infrastructure management. Participants will discuss case studies and frameworks that demonstrate the effectiveness of AI algorithms in real-world scenarios.
This track emphasizes the role of predictive analytics in forecasting infrastructure needs and performance. It will cover models and tools that leverage historical data to improve resource allocation and system reliability.
This session explores the development and implementation of intelligent systems in IT infrastructure management. Discussions will focus on how these systems can automate processes and enhance operational efficiency.
This track examines the synergy between cloud computing and big data technologies. It will highlight strategies for integrating these domains to improve scalability and flexibility in IT infrastructure.
This session will investigate the role of artificial intelligence algorithms in enhancing data processing capabilities. Participants will share insights on algorithmic advancements that facilitate faster and more accurate data analysis.
This track focuses on the design and implementation of frameworks that support scalable computing in big data environments. It aims to address challenges and solutions related to performance and resource management.
This session will explore the impact of automation technologies on IT infrastructure management. Discussions will include tools and techniques that streamline operations and reduce human intervention.
This track will cover advanced data integration techniques that enhance business intelligence capabilities. Participants will discuss best practices for consolidating data from diverse sources to support informed decision-making.
This session will focus on strategies for optimizing IT systems through machine learning techniques. Case studies will illustrate how these strategies can lead to improved performance and reduced costs.
This track will highlight emerging trends and future directions in the fields of big data and machine learning. Participants will engage in discussions on the implications of these trends for IT infrastructure management.