More than 50% of businesses plan to integrate both artificial intelligence (AI) and automation into their organization in 2023. Businesses are realizing the value of combining machine efficiency and AI to automate some of their most difficult and expensive processes. In this article, we offer you an overview of the best strategies made possible by AI in 2023.
Harnessing the potential of computer vision
For automation to be possible, robots need to see and understand everything you're automating. This is what allows the computer vision, by offering For robots the ability to read computer screens as a human being would.
Computer vision technology is among the most used AI capabilities. It allows robots to process users' desktops using a optical character recognition engine (OCR), order detection and table detection. Users can also easily automate scrolling content and extract scrolling tables.
The AI Computer Vision changes the game because it allows robots to perform automation tasks with a level of understanding that only humans knew before. They automate tasks that people are reluctant to do, so we can all get back to the work we love.
Document processing becomes less painful
We believe that no one should be forced to do boring, repetitive documentary work. AI did this to enable more advanced and more sophisticated automation.
Intelligent document processing (IDP) aims to free employees from the chore of processing documents. It uses a mix of AI technologies (all available on the platform of our technology partner UiPath) to see and understand documents the way humans do. AI allows IDP tools to extract useful data from masses of documents quickly and reliably.
UiPath Document Understanding uses a variety of technologies, from OCR to handwriting recognition to AI. He uses machine learning to learn how to read and interpret different types of documents and models.
Prior to this technology, workflows, even partially automated, required employees to step in and process documents manually. Document processing features are changing the game. From now on, Businesses can teach robots to manage the entire process, with humans only having to validate the data or manage the exceptions. Thanks to these features, documents are processed more quickly and at a lower cost. Customers benefit from shorter response times and employees have more freedom to focus on more stimulating and enjoyable tasks.
Exploring tasks: understanding how work is done
Task Mining allows businesses to discover process data at high speed and at scale. It's about understanding the processes that employees perform on their desks. They accelerate business transformation by rapidly discovering and evaluating opportunities for automating and optimizing processes based on human-computer interactions.
Whether you know the process to capture or want visibility into tasks that are currently unknown, task exploration has you covered.
It starts with task records provided by users. Recorded actions are separated into semantically similar groups. Then, multiple executions of the same task are combined into a unified “task graph”.
If you want to explore an unknown field of business, the unattended task exploration features allow you to detect repetitive tasks from raw records of employee work on computer screens. No additional input is needed from your staff to map or understand these processes.
This saves valuable time and resources while obtaining an accurate and objective picture of existing processes. Once you understand the tasks performed by your employees and their effectiveness, you have information to automate or streamline processes.
Understand and automate each message
The NLP (Natural Language Processing) has recently been propelled into the limelight. It is a branch of AI whose objective is to help machines understand human language and conversations. Staggering progress has been made in recent years and NLP is the basis for exciting tools such as GPT chat.
NLP is also a key part of Exploring communications, a new category of AI-based technology that helps businesses understand and automate their service processes. Exploring communications uses NLP and large language models to understand intent, feeling, and important data in communications across communication channels.
This tool makes it possible to extract valuable information, customer intentions, contact reasons, and emotions from almost any professional message. For the first time, emails, tickets, and service processes can be understood and automated end-to-end.
The future of business automation
Automation makes things better, faster, and easier. It accelerates human achievement by freeing us from “work” so we can focus on the things that matter to us. It extracts and enters data, processes transactional requests, and performs uninteresting tasks. All so you can focus on customers, collaboration, and creativity at work. Robots prevent people from being robots.
AI takes the promise of automation to a whole new level. Robots that can understand language, process relationships and intentions, and see the world like humans. AI-powered robots can automate complex tasks that we didn't think were possible a few years ago.
But AI is not going to replace us. For all its sophistication, AI needs humans at the helm to create and innovate. Humans review results, improve results, offer ideas, and ensure that AI models make the right decisions. AI provides the foundations, it's up to us to succeed.
About StoryShaper:
StoryShaper is an innovative start-up that supports its customers in defining their digital strategy and the development of automation solutions tailor-made.
Sources: StoryShaper, UiPath
