The Internet of Things essentially enables us to connect ‘things’ to the Internet (and to networks that use Internet technology). 

These things or items can exchange information between them and transmit data to other devices and systems. They can usually also received data.

The information they share can be about objects to which they are attached and the environment they are in (through sensors that come in many shapes for different parameters). Smart devices and machines can also share information about their internal state.

The industrial internet of things (IIoT) is the use of smart sensors and actuators to enhance manufacturing and industrial processes.

Also known as the industrial internet or Industry 4.0, IIoT leverages the power of smart machines and real-time analytics to take advantage of the data that `dumb machines` have produced in industrial settings for years.

The driving philosophy behind IIoT is that smart machines are not only better than humans at capturing and analyzing data in real-time, but they are also better at communicating important information that can be used to drive business decisions faster and more accurately.

Connected sensors and actuators enable companies to pick up on inefficiencies and problems sooner, and save time and money in addition to supporting business intelligence(BI) efforts.

In manufacturing specifically, IIoT holds great potential for quality control, sustainable and green practices, supply chain traceability, and overall supply chain efficiency. In an industrial setting, IIoT is key to processes such as predictive maintenance( PdM ), enhanced field service, energy management, and asset tracking.

Industry 4.0 is considered to be a technological transformation focused on manufacturing and the integration of cyber-physical systems.

Within the implementation of the IIoT (Industrial Internet of Things), every device is connected to the Internet and exchanges vast amounts of data in real-time, facilitating the effective control of multiple production phases with MES (manufacturing executions systems).

AI is the processing of data to find patterns and anomalies. AI technology obtains and manages vast amounts of data to extract information that will enhance or transform operations efficiently and effectively.

Technologies that leverage AI can analyze and model human behavior by identifying and simulating behavioral patterns.

Over time, it can anticipate needs and make rational decisions based on its learnings and observations. AI differs from business intelligence technology which analyzes data but leaves decision-making to an actual person. AI is (almost always) autonomous, without human intervention.

Chat will surpass other customer service platforms by 2021. AI-driven chatbots allow companies to provide 24/7-customer-support by automating customer communications, making the experience even more personal.

The latest improvements in natural language processing allow “bots” to pick up conversation nuances and better mimic human speech. According to a study by AMA, chat improves the customer journey, which leads to an increase in customer satisfaction and revenue. 

Banks that have recently implemented chatbots have seen a reduction in salary and benefit costs while improving back-office efficiency. For small businesses that don’t have the budget or the human resources to have a dedicated customer service team, AI-enabled chat can fill customer service gaps.

Digital transformation is the integration of digital technology into all areas of a business, fundamentally changing how you operate and deliver value to customers. Digital transformation can refer to anything from IT modernization (for example, cloud computing),to digital optimization, to the invention of new digital business models. The term is widely used in public-sector organizations to refer to modest initiatives such as putting services online or legacy modernization.

The most common RFID applications in hospitals are inventory tracking, control access, staff and patients tracking, tracking tools, tracking disposable consumables, tracking large/expensive equipment, laundry tracking, etc.

How is RFID Used in the Real World? Logistics & Supply Chain Visibility. Winning in the supply chain means increasing efficiency, reducing errors, and improving quality, Item Level Inventory Tracking, Attendee Tracking, Materials Management, Access Control, IT Asset Tracking, Tool Tracking, etc.

The first two steps pretty much got the main function works. As for the auto collapse, copy the code from the page custom code section before tag and paste into your project. Voila, that's all and you're good to go.

Radio Frequency Identification (RFID) is the wireless non-contact use of radiofrequency waves to transfer data. Tagging items with RFID tags allows users to automatically and uniquely identify and track inventory and assets.

RFID a wireless technology that uses transmitted radio signals to tag an item in order tot rack and trace its movement without human intervention has superior capabilities over barcodes and promises many supply chain benefits, such as reductions in shrinkage, efficient handling of materials, increased productivity.

Equipment Asset management software is a key resource for companies looking to utilize the most convenient way to track their tools and equipment for their business to run successfully. Most companies do have some sort of equipment asset management in place.

Software asset management (SAM) tools are deployed by IT organizations to establish and maintain inventories of hardware and software assets and to manage the life cycle of software assets from purchase through deployment, maintenance and utilization, and all the way to asset disposition.

Your warehouse plays a key part in ensuring that your company meets its productivity goals. A Warehouse Management System adds efficiency, consistency, and quality control to the process by helping you move goods through your warehouse at maximum speed, improving every stage of the fulfillment process

Warehouse management is the process, control, and optimization of warehouse operations from the entry of inventory into a warehouse — or multiple warehouses — until items are moved, sold, or consumed.

Typical warehouse activities include putting items away, moving items inside or between warehouses, and picking items for assembly, production, or shipment. Assembling items for sale or inventory may also be considered warehouse activities.

The six fundamental warehouse processes comprise receiving, put away, storage, picking, packing, and shipping. Optimizing these six processes will allow you to streamline your warehouse operation, reduce cost & errors, and achieve a higher perfect order rate.

The implementation of a WMS is often complex. Project planning is critical to the success of any WMS implementation. The project requires warehouse resources to collect data on the physical warehouse, materials, and inventory, as well as defining the strategies required to operate the warehouse.