How do companies that bestow geographical mapping services provide data to their customers through websites and phones? How do establishments make financial data available to their patrons? The answer is simple. Data as a service is uniting the world with its cloud of information. Let it be files, images, texts, sound or videos; any kinds of data are made available to the public. They are stored in the cloud and is accessible through different devices. The use of AI in this technology has made it more efficient and inferable.
The storage of data in the cloud is not similar to storing it in a hard drive. The cloud is protected with strong access control measures which preserve the data with integrity. Data as a service has made it easy for organizations in the administration process by aiding them to analyze performance graphs when compared with their peers. Among the variety of technologies that works under data as a service, content management is significant. Enterprise Content Management (ECM) system decides how the data is stored and delivered.
AI and Content Management Systems
ECM categorizes the sea of data available and transforms it into meaningful content which is easily accessible. This is the area in which the power of AI comes in. AI makes the ECM more efficient by helping it to read the document, thereby enhancing its organizational and delivery skills. Using AI-powered ECM reduce the time dedicated to data management by the companies by 50%.
A simple document like an invoice might contain information about the sender, receiver, agreements, dates etc. With the help of AI, ECM can sort the invoice based on the criteria required by the enterprise. Companies often collect multiple documents as one file. The AI-powered ECMs step up to split these data into individual files for processing. Also, the processing of each of these documents can be unique from one another. It is the AI facilitated management system that takes the role of the processor here and preserves them in easily retrievable documents.
AI Technologies enabled in ECM
An AI integrated ECM can be trained by using Machine Learning (ML) algorithms to classify the documents. With the use of analytical tools that comes with ML, it can draw insights from a particular data. Without any help from humans, the system will be able to familiarize itself with pictures by employing image recognition skills. With this, a picture uploaded can be auto-tagged and the ECM will be capable of understanding the text mentioned.
Voice recognition and transcripts skills will work alongside the content management system in analyzing video content. Natural Language Processing (NLP) and Natural Language Understanding embedded in the system builds its relationship with the documents. The system will be able to understand what is mentioned in an e-mail and manage it in a manner easier to retrieve.
Benefits of using AI/ML in ECM
Alongside the improvement in the decision-making process, with the use of ML implementation and NLP, the predictive analysis present in the ECM foresees forecasts by analyzing historical information. There is added advantage in finances with AI-powered ECMs functioning cost-effective. Since the content goes into the digital space, it reduces expenditure in printing, shipping and storage. This also unifies the various departments under a company by ensuring adequate data flow within. With an AI-led ECM, there is an improved customer experience in the market as it can retrieve the information better than the traditional method.
Source: indiaai.gov.in
