EAM and IoT solutions are essential for managing hundreds of thousands, tens of thousands, or millions of smart, connected assets. EAM solutions offer enterprise interfaces with ERP, HCM, and HSE systems, making them broader and more complete than CMMS. It entails those businesses may lower operational costs and maximize the quality of assets throughout their lifetimes.

An overview of the Watson IoT solutions for EAM: 

The Watson IoT Platform, formerly the IBM IoT Connection Service, links devices and processes their data to produce actionable insights. Organizations may collect and study data for machines, equipment, and devices using the Watson IoT Maximo Solutions. Additionally, its various add-on services can produce valuable insights to help them make better decisions.

Additionally, the Watson IoT Platform offers a non-production setting for creating application content and running Proofs of Concept (POC). For a set monthly subscription price, the Watson IoT Platform for Non-Production becomes available in a predetermined setting. With this, users may quickly deploy alerts, build dashboards and groups, simulate device deployment, register devices, and so on.

The capabilities of IBM Watson: 

• Appliance insurance
• setup and registration of devices
• Protection and identification
• Managing the lifecycle of data
• Device administration
• Alerts and online observation
• administration of a solution

 What are the services that IBM IoT Maximo training supports provide?

1. Managing devices

The device management service will help to reboot or update their firmware and get diagnostics and information for devices. It will also enable businesses to add and remove several devices simultaneously.

2. Scalable connectivity and responsiveness 

IBM's IoT solution employs the de facto industry standard MQTT protocol (OASIS certified) to connect devices and applications. In that context, MQTT helps in effective real-time data exchange between devices.

3. Protected communication

It will help to send commands to devices and receive data from them securely. To encrypt all communication between the devices and their service, one needs to execute this action utilizing MQTT and TLS.

4. Managing data lifecycle

Businesses can choose to save data for a specific time and have access to real-time data flowing from their devices. It will give them access to their devices' historical and current data.

Extending the Watson IoT solutions with optional components

In addition to the Watson IoT Platform is the Watson IoT Analytics service. It allows line-of-business users to add analytical measures and customizable business rules to the raw data coming from the IoT Platform. It further helps them to engage with it and gain a better understanding of their operations and business. Service for Watson IoT Analytics: 

• Supports the development, monitoring, and enforcement of analytical functions that are pertinent to business.
• It offers a user interface that automates the process of obtaining data from various sources as input for analytical function computation. 
• Specifying input data to execute calculations, acting on the computed values, and storing the calculated results.
• Provides a Python-based API that enables developers to construct and add their analytical functions to the catalog.

In the modern age, everything from valves to vehicles is connected by sensors and systems in the IoT era. Thus, practitioners integrate sophisticated analytics and artificial intelligence (AI) into EAM and IoT solutions. AI methods allow businesses to analyze data gathered from instrumented assets. The acquired knowledge aids in faster decision-making, preventative maintenance, and maximizing financial investments in physical assets for maintenance teams.