Enterprises need to ensure the agility to focus on the remote monitoring and cloud for business continuity.
Technology has transformed businesses across the globe, escalating far graver challenges than ever before. For them to thrive and survive, they must make the most of their critical operations.
Cloud analytics and remote monitoring offer a much-needed respite at this juncture with a multitude of low cost, connected, powerful devices, combined with the enterprise systems associated with different customer service models. Considering remote monitoring, IoT data integration makes it possible to match the competitive challenges of the new digital age.
Combined, they both offer an extensive window into the performance of the company’s automation equipment. Cloud analytics allows enterprises to build customized dashboards to consider production data. At the same time, remote monitoring delivers valuable insights into its system health and asset and helps to revive critical files for configuring a disaster recovery plan.
They both can be innovatively designed with new capabilities like auto software patches upgrade, which can be downloaded rather than followed up in-person. Besides, with diverse product parameters, automation robots pressed into operations can be well monitored remotely to achieve optimal performance.
Cloud analytics is an essential component of business continuity. It emphasizes the application of analytic algorithms rather than storing sensitive data in the private or public cloud. It is one of the most preferred technologies used for the deployment of scalable cloud computing to identify unknown insights from the data, often helping to extract significant information.
By leveraging cloud analytics approaches, businesses can closely monitor the pace of their automation even remotely to make data-driven decisions around their services and products. However, it must be noted that the cloud is an indispensable platform to indicate an automation POCs (proof of concept) offering through a multi-dimensional software ecosystem appropriate for AI training and application of machine learning models.
Cloud Analytics is particularly impressive considering intelligent automation for various reasons-
1. Looking at the massive amount of data generated globally, it is a relief that most of it is being pooled into IoT endpoints and then uploaded into the cloud.
2. Automation orchestrated into the cloud is easier to deploy as it doesn’t require any
maintenance of physical hardware. Instead, it can be easily monitored remotely.
3. Additionally, enterprises can turn to pay-per-use. This business model that does away with the responsibility of procurement and management capital infrastructure and decreasing data space.
4. Cloud Analytics allows service providers to deploy IT resources dynamically. This means that enterprises can easily leverage automation and scale up as per the required strategy
formulation. This saves businesses from the need to procure additional IT equipment for
5. Building a hybrid analytics solution is beneficial for businesses wishing to adopt automation and leverage cloud to check a new analytics project as a POC before actually committing to on-premise capital investment.
The uninvited emergence of the pandemic has let businesses across industries as diverse as construction, agriculture, and manufacturing to re-evaluate the investments on remote monitoring and cloud analytics.
This is part of a more significant industry trend to gain a competitive edge, facilitating better service to customers, and fostering innovation. This increasingly refers to businesses that must utilize their mission-critical assets to the utmost extent, undergo the automation journey, and make products intelligently connected for effective data operations.
The crux of the matter is, remote monitoring and cloud analytics is here to stay, driving compelling and innovative automation offerings for all the modern-day enterprises.