With the explosion of available data, monitoring has become extremely complex, requiring considerable resources. It must juggle between approximate, even falsified, information and infobesity. Machine Learning, one of the most promising technologies of our era, promises to be the key to transforming traditional monitoring into an agile, precise and efficient activity.
In this article, we will explore how Machine Learning is redefining monitoring work, particularly through innovative solutions such as TKM's monitoring software, which specializes in analyzing heterogeneous data.
MONITORING PROCESS: A WORK MADE DIFFICULT BY THE EXPLOSION OF DATA
Digital technology and the internet have revolutionized the way we access information. The initial promise was seductive: abundant information easily accessible to anyone with an internet connection. However, this promise quickly showed its limits .
The illusion of information just a click away
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 it , analyzing it and determining its relevance .
Scientific monitoring: a growing challenge
Scientific monitoring 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 any given field, this translates to up to 1500 new patent applications every month . How can an IP watchdog or director keep track of 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 are actually relevant for effective monitoring. This means that the majority of intelligence resources are currently used to sort and eliminate unnecessary information, rather than analyzing and leveraging relevant data.
MONITORING PROCESS: THE LEARNING MACHINE TO THE RESCUE
What is Machine Learning?
Machine Learning is a branch of artificial intelligence that focuses on building systems that can learn from data. Instead of being explicitly programmed to perform a task, these systems use algorithms to sift through, 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.
THE IMPACT OF MARCHINE LEARNING ON MONITORING
In the field of monitoring, Machine Learning represents a major development. Tools based on this technology, such as TKM Software (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 saving of time
One of the benefits of Machine Learning in monitoring is time savings . While traditional monitoring, carried out manually, can require several days of effort to filter and analyze information , tools based on Machine Learning can accomplish this task in a fraction of that time. With a tool based on Machine Learning such as TKM Software , the monitoring process is in fact reduced to 10 minutes , freeing up valuable resources for other activities.
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 to Data Mining , to create a robust solution. But the real advantage of TKM lies in its extensive integration of Machine Learning . This technology, through its ability to learn and continually improve from data, allows TKM to offer a monitoring solution that is always at the cutting edge.
IPMetrix: the ultimate monitoring tool
IPMetrix is a reflection of this technological expertise. Designed to be both powerful and easy to use, it offers companies the ability to conduct effective monitoring without requiring in-depth expertise . For those looking for an even more personalized solution, TKM's team of specialists is always ready to intervene, combining their know-how with the power of the tool.
More than just technological monitoring
While TKM and IPMetrix are particularly effective in technology monitoring, their usefulness doesn't stop there . TKM's approach is flexible enough to be relevant in other areas such as state-of-the-art , industrial property strategy , and even market research . This makes TKM a must-have solution for all companies looking to remain competitive in a world of constantly evolving information. Indeed, our other software can support you in all aspects of your innovation projects:
- SKOPAI: Global database of more than 200,000 start-ups worldwide, in all fields.
DATALAKE: Unified platform bringing together more than 400 million documents (patents, publications, projects, theses, clinical trials, startup files, etc.).
ASK AI: A useful and frugal precision AI assistant, Ask AI leverages features to meet your personalized monitoring needs such as automatic summaries of your sources.
FRONT VIEW: A simplified interface designed for a broad, non-expert audience, Front View makes technology monitoring accessible to everyone. Your employees can monitor topics that interest you for your innovation projects on a daily basis.
EXPLOIT INFORMATION TO ITS MAXIMUM POTENTIAL
We were promised information at our fingertips, but instead we got mountains of unmanageable data, and an exponential increase in the challenges of filtering and analyzing . However, thanks to innovative technologies like Machine Learning , it is now possible to efficiently navigate this deluge of information. Tools like our software suite simplify and accelerate the monitoring process, making it not only more manageable, but also more accurate.
Tomorrow, the need for effective intelligence will only increase as the volume of data continues to grow. But with tools like our software suite, businesses are better equipped to meet this challenge . By combining machine learning, data mining, and other advanced technologies, solutions like IPMetrix, Front View, and our Data Lake will usher in a new era of intelligence, where information will not only be accessible but also leveraged to its full potential. Want to learn more about our tool?