As we make the physical world “digital” there is a proliferation of sensors and associated data.
Our presentation will focus on how to develop IoT solutions for large enterprises and smart cities leveraging edge computing.
Shaun is a seasoned business leader and is passionate about helping customers with “Digital Transformation” initiatives that leverages IoT and Analytics. He has a deep understanding of “digital use cases” leveraging Big Data, IOT, Applied AI, BOTs for various industries such as manufacturing, financial services, healthcare, and retail.
Bhaskar is an experienced Technocrat and has helped realize state-of-art solutions in various verticals through his Professional Journey, extending over 30 years. His in-depth understanding of Technology and its applications in the Internet of Things is enabling Technosphere to deliver unique solutions in verticals such as Industrial, Home Automation and Greenfield areas like Agri and Waste Management. He has led the development of several World’s First Innovations, and has received multiple awards and recognition.
By Pethuru Raj, Chief Architect, and Vice-President SE- COE, Reliance Jio Cloud (Speaker Profile)
TensorFlow is an easy to use and extremely powerful, open sourced library for machine learning applications. Image recognition is highly dependent on the environment, pose, lighting, etc., in most image detection algorithms, Tensorflow uses deep learning and neural networks to accurately identify and classify objects irrespective of these factors. In this paper, the implantation of image recognition is done on a portable Raspberry Pi Board along with a Raspberry Pi camera to obtain a live feed of the surroundings. The entire system runs on Python based code to achieve maximum efficiency. This unique ability can be used in a retail environment to help the customers identify the location of each product and hence make their shopping experience more effective and convenient.
What is the need for AI for the future, the stability, and maturity of IoT technologies?
What are the real-world use cases of the technology convergence?
What are the various Machine and Deep Learning Algorithms for Intelligent IoT.
By Amar Prusty Cloud-Data Center Architect DXC Technology (Speaker Profile)
Cloud-Edge-Fog Computing Solution Architectures evolving to meet IOT needs Data Center, Hyper-Converged Infrastructure, Cloud, Edge-Fog, Network, Security IOT-Application-Infrastructure professionals looking to leverage Cloud & Edge for IOT used cases
By Abhas Abhinav founder & hacker-in-charge, Mostly Harmless (Speaker Profile)
There are three components of any IoT or embedded hardware product/solution:
The speaker will explain the role that free/open source software can (and should) play in each of these areas.
How can an IoT solution be hosted completely locally? ie. without depending on any propreitary component on the “cloud”?
By Chetan Kumar, S C.E.O, AiKaan Labs (Speaker Profile)
This talk will answer the major questions that yuu were always confused about like Why care about Edge and Fog ?, What does the market talk about it ? . The speaker will discuss the Architecture of Edge and Fog computing paradigm and also what applications need Edge and what apparitions need Fog, How do I choose right computing model and where does cloud computing meet Fog/edge computing. He will aslo talk about what are the challenges in Fog and Edge computing.
More details will be updates soon
By Gokul P Deshpande, CEO, C-MOS Processes (Speaker Profile)
Industrial IoT has crossed the turf of disillusionment and is on the way to steady growth of success. Biggest hindrance is the Cost Escalation due to innumerable Network Protocols (Modbus RTC, Modbus TCP, ASCII, PROFIBUS, PROFINET, DF-1, EtherNet/IP, CC-Link, MelsecNet, FX, etc.) in the Brown Field as well as Green Field Automation also. As well the requirement of reliable and secured bridging network between OT and IT.
Falling cost of Memory, Internet Speed & Bandwidth, High Reliable and High Performance Servers on the Cloud has brought advanced computing in reach of small factories. Protocols like REST-APC, HTTPS and MQTT has made transfer of data reliable, quick and real time. OPC UA is further making the task easier.
Edge computing allows data produced by the Internet of things (IoT) devices to be processed closer to where it is created instead of sending it across long routes to data centers or clouds.
Doing this computing closer to the edge of the network lets organizations analyze important data in near real-time – a need for organizations across many industries, including manufacturing, health care, telecommunications, and finance.
The flow of this talk is as follows,