There are many accidents that humans cannot avoid. Lidar, the Light Detection and Ranging system is a remote sensing method that uses light in the form of a pulsed laser to measure ranges or distances, and used in autonomous driving cars, is currently at level 3 and therefore not that much better than human drivers. Autonomous driving will get better. How? When? The 2020ies are a coming soon.
The Internet of Things (#IoT) is an ecosystem of ever-increasing complexity; it’s the next wave of innovation that will humanize every object in our life, and it is the next level of automation for every object we use. IoT is bringing more and more things into the digital fold every day, which will likely make IoT a multi-trillion dollar industry in the near future. To understand the scale of interest in the internet of things (IoT) just check how many conferences, articles, and studies conducted about IoT recently, this interest has hit fever pitch point in 2016 as many companies see big opportunity and believe that IoT holds the promise to expand and improve businesses processes and accelerate growth.
Airports are considering the use of artificial intelligence (AI) to avoid mishandling baggage. The idea is to use AI for end-to-end tracking of baggage and planning optimized luggage routes, right from the time passengers get on-board, until they collect their baggage at their destination.
The Internet of Things (IoT) — a universe of connected things providing key physical data and further processing of that data in the cloud to deliver business insights— presents a huge opportunity for many players in all businesses and industries. Many companies are organizing themselves to focus on IoT and the connectivity of their future products and services. For the IoT industry to thrive there are three categories of challenges to overcome and this is true for any new trend in technology not only IoT: technology, business and society.
As the adoption of digital twin increases, the management of several devices and their business owners will only going to rise. This is why a future-ready digital twin strategy is necessary.
Employing deep learning in manufacturing enables companies to reduce costs incurred on hardware and software, optimize manufacturing machines, and accurately predict sales statistics based on previous company records.
The new made-for-each-other couple - chatbots and blockchain - help organizations by assessing whether their bot-to-bot interactions are legit and flagging those conversations that aren’t.