At a time when IoT solutions are plentiful, single IoT solutions can easily require hundreds of thousands of sensors and end points when deployed across global site locations. Once companies start considering multiple IoT solutions, this challenge can easily reach millions of devices, limiting businesses from realizing the potential value of IoT. Lenovo recognizes and overcomes the business challenges associated with leveraging IoT solutions by identifying trusted solutions, deploying at scale, and managing across vendors and sites over time.
Lenovo also announced at the event a new sub-brand it calls ThinkReality, that seeks to give the business a solutions-based approach to AR/VR, including both software and hardware. The platform is device and cloud agnostic, which Lenovo says will allow businesses to adopt and manage AR/VR applications across devices, cloud services, and operating systems. Ultimately, Lenovo wants to enable businesses to utilize AR for collaboration, training, repairs, remote assistance, and more.
Lenovo adds new solutions and devices to its ThinkIoT ecosystem
The main concept of a network of smart devices was discussed as early as 1982, with a modified Coca-Cola vending machine at Carnegie Mellon University becoming the first ARPANET-connected appliance,[13] able to report its inventory and whether newly loaded drinks were cold or not.[14] Mark Weiser's 1991 paper on ubiquitous computing, "The Computer of the 21st Century", as well as academic venues such as UbiComp and PerCom produced the contemporary vision of the IOT.[15][16] In 1994, Reza Raji described the concept in IEEE Spectrum as "[moving] small packets of data to a large set of nodes, so as to integrate and automate everything from home appliances to entire factories".[17] Between 1993 and 1997, several companies proposed solutions like Microsoft's at Work or Novell's NEST. The field gained momentum when Bill Joy envisioned device-to-device communication as a part of his "Six Webs" framework, presented at the World Economic Forum at Davos in 1999.[18]
As of 2018[update] IoMT was not only being applied in the clinical laboratory industry,[48] but also in the healthcare and health insurance industries. IoMT in the healthcare industry is now permitting doctors, patients, and others, such as guardians of patients, nurses, families, and similar, to be part of a system, where patient records are saved in a database, allowing doctors and the rest of the medical staff to have access to patient information.[62] Moreover, IoT-based systems are patient-centered, which involves being flexible to the patient's medical conditions.[citation needed] IoMT in the insurance industry provides access to better and new types of dynamic information. This includes sensor-based solutions such as biosensors, wearables, connected health devices, and mobile apps to track customer behavior. This can lead to more accurate underwriting and new pricing models.[63] 2ff7e9595c
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