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Executive discussions and tutorials that explore IoT issues, challenges, opportunities and innovations

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AI and IoT help boost HK fencers’ Olympics dream

Photo from Microsoft Hong Kong website

AI and IoT help boost HK fencers’ Olympics dream

AI and Machine Learning
Photo by The Lazy Artist Gallery from Pexels

Getting past PoC: an IoT story

Application
Image by William Iven from Pixabay

Singaporean healthtech firm: 11 years lost on smart devices

Big Data and Analytics
Photo from Nokia

Sendai City tested a Nokia drone during simulated tsunami alert

Commercial
Photo by Scott Webb / unsplash

Making connections count with IoT

AI and Machine Learning
Nissan has developed “dual-sided dieless forming,” a technique using robots to make car parts out of sheet steel. This could make replacement parts for discontinued models more widely available for customers. Thanks to its flexible production, short lead times and minimal upfront costs, the new technique could make it commercially viable to produce and sell a wide variety of after-service and replacement parts in small volumes for cars that Nissan no longer makes. This was previously not possible due to the high upfront costs and long lead times to develop and make dies for stamped parts.

Nissan’s new robot tech breathes new life to old car models

Automotive
Calliope Station in central Queensland, Australia (Photo: screengrab from YouTube)

Calliope Station in Australia improves farm operations with IoT

Case Studies

The business value of data movement

AI and Machine Learning
Invited guests watched the live game from the MLB studio through NTT's URV technology.

NTT delivers successful Ultra Reality Viewing of live MLB game

Customer Engagement
Forrests around the Citarum River in Indonesia.

AI and IoT monitor Citarum River reforestation in real time

AI and Machine Learning
Analyzing operator movement at factory. (Photo from OMRON)

Nokia, NTT DOCOMO and OMRON bring 5G to smart factory trial

AI and Machine Learning
Photo by rawpixel.com from Pexels

Securing a converged IoT-IIoT future

Customer Engagement
Photo by Kevin Ku from Pexels

The data conundrum in IoT

AI and Machine Learning
Komatsu is a Japanese manufacturers of excavators, bulldozers, and other heavy equipment.

Japan’s Komatsu scales IoT heights with Azure

AI and Machine Learning
Digital Park Thailand artist impression (Photo from DEPA)

The IoT Institute to anchor Thailand Digital Valley

Research and Development
Photo by DXL on Unsplash

Making the case for robots in the factory

AI and Machine Learning
Photo by Alex Knight from Pexels

IoT innovation outpaces regulation for now

AI and Machine Learning
Photo by BENCE BOROS on Unsplash

How IoT powers digital transformation

Customer Engagement
Photo credit: DHL Supply Chain

DHL Supply Chain, Tetra Pak deploy first digital twin warehouse in Singapore

Big Data and Analytics
Photo credit: Renovo

Renovo’s Insight platform puts order in automotive data sets

AI and Machine Learning
Photo by Pixabay from Pexels

Hearable market challenges in 2019

Commercial
By Pixabay

The what, why and how of IoT search engine

Industrial

IoT and Machine Learning – the possibilities

Application and Middleware
Ben Arnold, Senior Director of Innovation and Trends with the Consumer Technology Association

IoT innovations at CES 2019

Commercial
Photo by Hermes Rivera on Unsplash

Better waste management with IoT

AI and Machine Learning

Smart lights for smart cities

AI and Machine Learning

Connect and visually analyse data in motion

Application
Professor Wei Xiang

The current and future state of IoT

AI and Machine Learning
Photo by Ian Schneider on Unsplash

Top 10 IoT projects in 2019 (so far)

Application

Aeroporti di Roma’s digital transformation journey

AI and Machine Learning

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