Fusion Of Iot, Blockchain And Artificial Intelligence
OVERVIEW
Blockchain is one of the prominent rapidly used technologies in the last decade in various applications. In recent years, many researchers explored the capabilities of blockchain in smart IoT to address various security challenges. Integration of IoT and blockchain solves the security problems but scalability still remains a huge challenge. To address this, various AI techniques can be applied in the blockchain IoT framework, thus providing an efficient information system. This course aims at offering a unique collection of ideas and experiences mainly focusing on the main streams and merger of Artificial Intelligence (AI) and the Internet of Things (IoT) for a wide slice of the communication and networking community
Who to Attend
Senior and Middle Level Staff, Department, Sections, and Units
OBJECTIVES
The objective of this course is to provide participants with a systematic understanding on integration of blockchain, AI and IoT technologies to address the various challenges
OUTLINE
- Introduction to Blockchain, IoT and AI
- Integration of Blockchain, AI and IoT
- Fusion of Blockchain AI, IoT in Different Application Domains
- Transformational Technologies Today
- Application of Blockchain for Enhanced IoT Security
- Internet of Nano Things: Applications, Challenges and Solutions
- Convergence of Technologies
- Blockchain Enabled Enhanced IoT Ecosystem Security
- IoT for Better Mobile
- Smart IoT with Blockchain
- Energy Efficient Hybrid IoT System for Ambient Living
- Emerging IoT with AI Technologies
- Ensuring Security of Digital Voting Through Blockchain Technology
- Challenges in the Adaptation of IoT Technology
- Progress in Smart and Sustainable Technologies
Booking Information
Location and Date:
London: 25th March – 5th April, 8th – 19th July, 23rd Sept – 4th October
Dubai: 19th Feb. – 1st March, 1st – 12th April, 27th May – 7th June, 19th – 30th August
Geneva (Switzerland): 7th – 18th October
Doha(Qatar): 29th April – 10th May
Istanbul (Turkey): 9th – 20th September
Fee: $9,600(2 weeks)
$5,500(1 week)