Digital means are now integrated into our lives. Already a force to reckon with since the past decade, the growth in consumption of digital services by consumers and businesses was rapidly accelerated by the COVID-19 pandemic. It is estimated that businesses will spend over USD 2.8 trillion by 2025 on digital transformation initiatives globally.
With years of advancement already under the belt of enterprises, it is time to progress beyond the usual flagbearers of digital prosperity like cloud and mobility. Consumers expect a consistent omnichannel experience with digital services they interact with, irrespective of their devices or chosen, which may be a PC, smartphone, or even their cars. To keep up with the demand for connected experiences, enterprises need to transition from merely digitizing their experiences to offering autonomous anything experiences.
What Is Autonomous Anything?
In simple terms, an autonomous anything experience is defined as a form of customer experience where almost every facet of the interaction is managed by intelligent automated systems powered by artificial intelligence and machine learning. Some popular examples could range from automated timekeeping to more complex use cases, such as automated warehouses with robot-controlled package movement and stacking.
One might argue that such scenarios aren’t new, and businesses are leveraging end-to-end automation solutions to handle similar cases. But there’s more to it.
Why Going Autonomous Today Is a New Game Altogether?
The difference today, as well as in the future, is the scale at which enterprises need to automate their operations to meet consumer demand. Traditionally, automated systems worked by collecting data, processing it, and leveraging insights to serve the needs of consumers via digital channels. In most cases, each of these stages was handled by different business systems, and they worked harmoniously to deliver the end experience.
However, with an autonomous anything scenario, enterprises simply cannot wait for this chain of processing to happen through coordination by different systems. They need more direct means of analyzing information and making decisions on the go. This is where they must look towards visual analytics, wherein AI-guided visual processing of data and subsequent course of action is driven on the go by autonomous systems.
Moving back to the aforementioned examples, visual analytics helps enterprises set up a seamless and end-to-end automated employee timekeeping system at the office, wherein their faces are recognized through visual feeds from cameras at the entrance, and time spent within the office premises is tracked autonomously.
How Visual Analytics Will Be a Driving Force Behind the Autonomous Anything Future
In a future where autonomous anything will be a game changer, visual analytics will be the key driving force for enterprises. Here are four ways in which visual analytics will bring in a smarter and faster direct automation experience for businesses:
Seamless Object Dimensioning
Platforms like KameraAI enable businesses to fold in applications to accurately analyze and calculate the dimensions of physical objects from data such as images or video feeds. This helps in optimizing storage and handling operations in sectors such as logistics or inventory management in warehouses, etc.
Robotic operations in such sectors can be easily enabled by delivering accurate parcel or package dimensions to control systems and directing them to assign deliveries to the right-sized storage or deployment rack.
Smarter Optical Recognition
From security installations to traffic management, autonomous decision systems can leverage visual analytics to easily identify vehicles from images or video feeds of their number plates or model inscriptions on the body or any other identifier like toll tags. Such systems can then automatically send notifications to registered owners for events like fines for over-speeding or parking violations.
Visual analytics helps in accurately identifying numbers or alphabets from images of objects, thereby opening the possibility for several new autonomous customer experience initiatives.
Accurate Spatial Configurations
Through visual analytics, it becomes easier for enterprises to set up autonomous production or manufacturing lines wherein machines, product stocks, parts, and other hardware can be aligned with their respective configurations for ideal work execution.
Like how dimensioning occurs, the spatial alignment of different components can help in the efficient machine or product assembly in a smart factory. It will eliminate errors and considerably reduce time compared to manual alignment initiatives of various parts.
Autonomous Security
With visual analytics, businesses can secure their facility perimeter much more efficiently and automatically. For example, they can leverage visual analytics platforms like KamerAI to tightly integrate with security applications that detect intrusions and security breaches from live CCTV video feed of their boundaries.
From setting off automatic alarms to sending alerts to nearby law enforcement and administrative support services, there are several actions that can be automated in such a scenario.
Wrapping Up
Visual analytics holds immense potential for businesses to fully embrace the autonomous anything future. It brings a new dimension to deriving insights and setting an action course from streaming data such as video or image feeds. As such, it introduces a new level of speed and scale to the digital-first business model.
Tools like KamerAI enable businesses to embrace visual analytics with its full power and deliver results in terms of better customer experience from day one. Get in touch with us to know more.
