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Enterprise Content Management Systems in Healthcare: The importance of Big Data!

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?!”  

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Empowering Financial Institutions with Enterprise Content Management Systems

Digital transformation is rocketing all over Financial Institutions. Mobile banking and AI-powered customer service are two great solutions for banking services. Aside this, content management is still a pain point for these companies.   

Financial services are handling a great load of transactions that require document processing, and most of these documents contain sensitive information. Thus, security and efficiency are two main concerns for both decision-makers and customers.

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Content Enrichment – Unlock your unstructured content with AI

Once upon a time, content was flying across processes and departments with minimum or even zero structure. The value of data was being wasted and creatives were spending essential time searching for information. Well, some companies are still stuck in that ancient tale!

Today, modern ECM systems recognize the value of data for decision making and productivity. So, alongside (almost) human robots, AI is used to enrich metadata and deliver the right information, at the right time for the right operation, with maximum security, and in a blink of an eye!

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The impact of AI in Enterprise Content Management system

The AI-powered Enterprise Content Management systems are the holy grail for modern industries. As we have been showing you throughout our articles, these systems are meant to make the data flow in your enterprise.

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Technical Articles

Texter Machine Learning – How to get more from your data?

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).

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Do you know what Machine Learning really is?!

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.