How Machine Learning is revolutionizing the monitoring process

Data is everywhere. It is the source of major innovations, unprecedented opportunities, but also colossal challenges. At the heart of these challenges lies the competitive intelligence process: a vital activity for companies that want to remain competitive and at the forefront of innovation.

How Machine Learning is revolutionizing the monitoring process

Data is everywhere. It is the source of major innovations, unprecedented opportunities, but also colossal challenges. At the heart of these challenges lies the competitive intelligence process: a vital activity for companies that want to remain competitive and at the forefront of innovation.

With the explosion of available data, competitive intelligence has become extremely complex, requiring considerable resources. It must juggle inaccurate, even falsified, information with information overload. Machine learning, one of the most promising technologies of our time, is emerging as the key to transforming traditional competitive intelligence into an agile, precise, and efficient activity.

In this article, we will explore how Machine Learning is redefining the work of competitive intelligence, particularly through innovative solutions such as TKM's competitive intelligence software, which specializes in the analysis of heterogeneous data.

MONITORING PROCESS: A TASK MADE DIFFICULT BY THE EXPLOSION OF DATA

Digital technology and the internet have revolutionized the way we access information. The initial promise was enticing: abundant and easily accessible information for anyone with an internet connection. However, this promise quickly revealed its limitations .

The illusion of information at your fingertips

The ease of access to information has created a misleading impression : while we thought that monitoring would be simplified by digitalization, it has become more complex. The challenge is no longer finding information, but filtering , analyzing it , and determining its relevance .

Scientific monitoring: a growing challenge

Scientific intelligence is a striking example of this challenge. With 4 million scientific articles published and 3.4 million patents filed each year , it is simply overwhelmed with information. To put this into perspective, in a given field, this translates to up to 1,500 new patent applications every month . How can an intelligence analyst or an IP director keep up with such a volume of information?

The quest for relevance

The overabundance of information poses another problem: that of relevance. In this continuous flow of information, only 10 to 15% of documents prove truly relevant for effective monitoring. This means that the majority of resources devoted to monitoring are currently used to sort and eliminate useless information, rather than to analyze and leverage relevant data.

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MONITORING PROCESS: MACHINE LEARNING TO THE RESCUE

What is Machine Learning?

Machine learning is a branch of artificial intelligence that focuses on building systems capable of learning from data.

Instead of being explicitly programmed to perform a task, these systems use algorithms to scan, analyze, and interpret data, often in large quantities.

As they are exposed to more data, these systems adapt and improve, offering increasingly accurate predictions or decisions.

Read also: Between Data Mining & AI: how TKM helps you optimize your R&D and Innovation investments 

THE IMPACT OF MARCHINE LEARNING ON MONITORING

In the field of competitive intelligence, machine learning represents a major evolution. Tools based on this technology, such as TKM Platform (formerly IPMetrix), are capable of analyzing volumes of information that would otherwise be unmanageable for a human being.

These tools can quickly identify patterns, trends, and relevant information, while eliminating noise or irrelevant data .

A considerable time saving

One of the most tangible advantages time saved . While traditional, manual competitive intelligence can require several days of effort to filter and analyze information , Machine Learning-based tools can accomplish this task in a fraction of that time.

With a Machine Learning based tool such as TKM Platform , the monitoring process is effectively reduced to 10 minutes , thus freeing up valuable resources for other activities.

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TKM: THE ALLIANCE OF MACHINE LEARNING AND DATA MINING TO SIMPLIFY THE MONITORING PROCESS

The combined power of semantics, statistics, data mining, and machine learning

TKM does not rely solely on a single technology to facilitate the monitoring process. On the contrary, it combines several disciplines, from semantics to statistics and data mining , to create a robust solution.

But TKM's real strength lies in its advanced integration of Machine Learning . This technology, through its ability to learn and continuously improve from data, allows TKM to offer a cutting-edge competitive intelligence solution.

 

TKM Platform: the ultimate monitoring tool

TKM's software platform reflects this technological expertise. Designed to be both powerful and easy to use, it offers businesses the ability to conduct effective monitoring without requiring in-depth expertise . For those seeking an even more customized solution, TKM's team of specialists is always ready to assist, combining their know-how with the power of the tool.

More than just technological monitoring

While TKM's solutions excel in technology monitoring, their usefulness extends beyond that.
TKM's approach is flexible enough to be relevant in other areas such as state-of-the-art reviews , intellectual property strategy , and even knowledge management derived from monitoring.

This makes TKM Platform an essential solution for all companies seeking to remain competitive in a constantly evolving information landscape. Indeed, it supports you in all aspects of your R&D and innovation projects, thanks to its various modules:

EXPLOITING INFORMATION TO ITS MAXIMUM POTENTIAL

We were promised information at the click of a button, but we got mountains of unmanageable data, and an exponential increase in the challenges of filtering and analysis .

However, thanks to innovative technologies like machine learning , it is now possible to navigate this information deluge effectively. Tools such as our software suite simplify and accelerate the monitoring process, making it not only more manageable but also more precise.

Tomorrow, the need for effective monitoring will only increase as the volume of data continues to grow. But with tools like our monitoring and analytics platform, businesses are better equipped to meet this challenge .

By combining machine learning, data mining and other advanced technologies, our solutions will pave the way for a new era of intelligence gathering , where information will not only be accessible, but also exploited to its full potential.

 

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