Texter Blue
It’s said that the foundations of Digital Transformation are AI and Machine Learning. The integration of Machine Learning in businesses are making the companies not only, more intelligent, but also more efficient. In fact, the impact of Machine Learning can be seen in companies across all industries.
Following the same mood of the last article, let’s look ahead at what to expect and check some trends and predictions in Machine Learning industry.
Let’s get to the point here… all businesses workflows, decisions and operations are made based on a data analysis. In a daily base, this data usually come from documents handled by the company’s different departments.
Now, imagine that you have a system (ECM System) that can automate the extraction of information, as well as the data analysis, from these documents! Don’t you think this can enhance your company’s key processes?
Every business has content! It is an integral part of companies’ strategy, workflows, processes, customer services, and essential to the development of new products and Backoffice processes. However, if you have tons of documents, information can be hard to manage…
For example, we all know that content is growing at an astounding rate, which means that companies are accumulating billions of documents, images, videos, invoices… just in the last couple of years! Now… imagine handle all this content… how many people and hours (or years?) would you need to make that happen?!
For the past two decades, the concept known as big data has been sliding into our businesses. However, it took a little while to show its value, as well as its great potential, to most of them. Only avant-garde entrepreneurs would implement such new and intimidating concept.
Is nothing new that the more information and data you have, the better and more accurately you can operate, and this should be the foundation for every company in 2021. You may be thinking “Yes, this is important for high tech sectors! So, what does healthcare has to do with it?!”
Having a sticker indicating the usage of AI for some tasks doesn’t mean that the task will be completed successfully: there are many ways to solve a problem. So, if you have a problem to solve with your data, why not use the best set of tools to solve it? That’s the goal of Texter Machine Learning (TML).
Machine Learning came a long way, leveraged by technology evolution. This concept started when it was recognized that computers could, eventually, interact and process certain data without really being programmed to do that. Just has if they were making their own decisions based on data analysis.
Well, this was a revolution in the way that big companies handle with their data. The foundation is here for a while now, but it gets more accurate and faster as time passes by. Actually, recent Machine Learning models can go through more and more complex data. Therefore, generating more accurate results.