6th International Conference on Internet of Things, Big Data and Security (IoTBDS)

April 23rd, 2021

 April 23rd, 2021 - April 25th, 2021
 Recommended Event

6th International Conference on Internet of Things, Big Data and Security (IoTBDS)

Event submitted on Thursday, August 6th 2020, approved by Charles Villanueva

6th International Conference on Internet of Things, Big Data and Security (IoTBDS), April 23rd, 2021Click to Tweet

212 Days Until The Event
April 23rd, 2021 - April 25th, 2021
Czech Republic » 
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 Our Review

This is all about IoT and Big Data. We cover a lot of IoT Conferences in our directory and can certainly attest to this event in the Czech Republic as being absolutely worthwhile to attend if you work within this sector. Of interest, you might also want to take a look at our recommended ML (Machine Learning conferences) and our list of Artificial Intelligence conferences.

- Review written by Henry Dalziel on Thursday, August 6th 2020.
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Event Summary

The following description was either submitted by the Conference Organizer on Thursday, August 6th 2020, or created by us.

The Internet of Things (IoT) is a platform that allows a network of devices (sensors, smart meters, etc.) to communicate, analyze data, and process information collaboratively in the service of individuals or organizations. The IoT network can generate large amounts of data in a variety of formats and using different protocols which can be stored and processed in the cloud. The conference looks to address the issues surrounding IoT devices, their interconnectedness, and services they may offer, including efficient, effective and secure analysis of the data IoT produces using machine learning and other advanced techniques, models and tools, and issues of security, privacy, and trust that will emerge as IoT technologies mature and become part of our everyday lives.

Big Data (BD) has core values of volume, velocity, variety, and veracity.

After collecting much data from IoT, BD can be jointly used with machine learning, AI, statistical and other advanced techniques, models and methods, which can create values for people and organizations adopting it, since forecasting, deep analysis and analytics can help identify weaknesses and make improvements based on different analysis.

Maintaining a high level of security and privacy for data in IoT is crucial and we welcome recommendations, solutions, demonstrations, and best practices for all forms of security and privacy for IoT and BD.

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