4th International Conference on Internet of Things, Big Data and Security (IoTBDS 2019)

May 2-4, 2019 | Greece

The internet of things (IoT) is a platform that allows a network of devices (sensors, smart meters, etc.) to communicate, analyse data and process information collaboratively in the service of individuals or organisations. 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.Internet of Things, Big Data and Security (IoTBDS 2019)

Spotlight

The private sector has used large-scale data analytics togreat effect for predicting consumer preferences, trackingpurchasing records, and other performance-driving applications. While data use can contribute to economic growth, there are valid public policy concerns which
warrant its use to be regulated to a certain extent


OTHER PAST CONFERENCES

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Since 2016, Big Data and AI Toronto has widely been recognized as the not-to-be-missed event for the data and analytics community. Since 2016, Big Data and AI Toronto has been serving the data ecosystem by providing a unique platform for IT decision-makers and data innovators to explore and discuss insights, showcase the latest innovative projects, and connect with the best and brightest minds in the industry. Join thousands of data professionals to experience a 4-in-1 event that will provide you with a 360-degree view of the industry. The 6th edition of Big Data and AI Toronto will be held virtually. The platform used will allow participants to live stream talks and demos, but also network with exhibitors and other professionals attending the event.

CDAO Fall Virtual

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Spotlight

The private sector has used large-scale data analytics togreat effect for predicting consumer preferences, trackingpurchasing records, and other performance-driving applications. While data use can contribute to economic growth, there are valid public policy concerns which
warrant its use to be regulated to a certain extent

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