Smart machines will redefine and transform business processes by detecting, classifying and locating faults and recommend actions.

It must have the capacity to automatically repair and correct processing errors and avoid failures by developing capabilities to increase accuracy and power. It should be able to use basic knowledge which includes both practical and science-based theory considering present and past research models.

Current trends in the smart machines industry:

Trend #1: Automated safety systems

The system combines standard and safety control methods into a single platform using artificial intelligent which will collect safety system data and automatically raises alerts. The data is also used to increase productivity, monitor downtime and report compliance issues.

Trend #2: Access to secure information

Operational, business and transactional data are connected with different performance dashboards which will support to develop actionable insights.

Trend #3: Real time diagnostics

Embedded intelligence devices are used to predict maintenance issues using real-time data which will help to quickly troubleshoot and repair problems. It remotely monitors critical parameters and repairs the problems before they reach a point of failure.

Trend #4: Intelligent personal assistance

The tasks are automatically performed by taking to consideration user input data, location, weather and traffic conditions. It also manages emails, calendar events and work schedules.

Trend #5: Smart integration

Replacing a multi-tiered networking strategy with a single network which can simplify network information platform by easing the collection, transfer and analysis of real-time operations data.

Trend #6: Smart data discovery

Provides highly complex results by using the most tailored use cases. It deploys a variety of data types and provide a detailed outcome which can be applied to all the departments of the business.

Trend #7: Cognitive computing

Involves human thoughts and creates a self-learning system using data mining, pattern recognition and natural language processing technologies with an aim to automate IT systems to solve problems without human assistance.

Trend #8: Machine to Machine communication

Helps to implement large-scale remote monitoring systems. It uses the concept of internet of things to manage warehouse scheduling, controls traffic, tracks logistic services and integrates supply chain.

Trend #9: Data analytics helps process excellence

Companies are recording data at different set points which provide information on the complete manufacturing and production work flows. This analyzed data is used to automate shop floor and take management level decisions.

Trend #10: Mobile robotic device

It helps to cover multiple locations by using navigation devices which allows it to travel a pre-defined route and automatically manage inventory, pick items on the shop floor and deliver orders to different departments.

Trend #11: Connected enterprise

It automates manufacturing and industrial processes uses internet of things and helps to share information across people, plants and supply chains. It reduces process complexities and minimizes risks related to information security.

Different ways by which smart machine helps to create a successful business model:

  • Provides scope to remain globally competitive by using relevant business model which helps to easily shift from mass production to mass customization.
  • Automates workforce issues like creating a process to knowledge transfer and retaining skills of retiring workers.
  • Uses latest inputs which helps to address risks related to security threats and complex regulations.
  • Provides information on different type of technologies for different processes.
  • Automated analysis and repairing capabilities which will help to create latest decision support system.

GAVS’ ZIF is an AIOps based TechOps platform that enables proactive detection and remediation of incidents helping organizations drive towards a Zero Incident Enterprise™ . Visit to know more