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 : l’outil de veille par excellence
IPMetrix est le reflet de cette expertise technologique. Conçu pour être à la fois puissant et facile à utiliser, il offre aux entreprises la possibilité de mener une veille efficace sans pour autant nécessiter une expertise approfondie. Pour ceux qui recherchent une solution encore plus personnalisée, l’équipe de spécialistes de TKM est toujours prête à intervenir, combinant leur savoir-faire avec la puissance de l’outil.
More than just technological monitoring
Si TKM et IPMetrix brillent particulièrement dans la veille technologique, leur utilité ne s’arrête pas là. L’approche adoptée par TKM est suffisamment flexible pour être pertinente dans d’autres domaines tels que les états de l’art, la stratégie de propriété industrielle et même les études de marché. Cela fait de TKM une solution incontournable pour toutes les entreprises qui cherchent à rester compétitives dans un monde d’informations en constante évolution. En effet, nos autres logiciels peuvent vous accompagner dans tous les aspects de vos projets d’innovation :
- SKOPAI : Base de données mondiale de plus de 200 000 start-ups dans le monde, tous domaines confondus.
DATALAKE : Plateforme unifiée rassemblant plus de 400 millions de documents (brevets, publications, projets, thèses, essais cliniques, fiches de startups…).
ASK AI : Assistant IA de précision utile et frugale, Ask AI met à profit des fonctionnalités pour répondre à vos besoins de veille personnalisée tel que des résumés automatiques de vos sources.
FRONT VIEW : Interface simplifiée pensée pour un public large et non expert, Front View rend la veille technologique accessible à tous. Vos collaborateurs peuvent suivre quotidiennement les sujets qui vous intéressent pour vos projets d’innovation.
EXPLOIT INFORMATION TO ITS MAXIMUM POTENTIAL
On nous avait promis une information à portée de clic, on a obtenu des montagnes de données ingérables, et une accentuation exponentielle des défis de filtrage et d’analyse. Néanmoins, grâce à des technologies innovantes comme le Machine Learning, il est désormais possible de naviguer efficacement dans ce déluge d’informations. Des outils tel que notre suite logiciel permet de simplifier et d’accélérer le processus de veille, le rendant non seulement plus gérable, mais aussi plus précis.
Demain, la nécessité d’une veille efficace ne fera qu’augmenter à mesure que le volume de données continuera de croître. Mais avec des outils comme notre suite logicielle, les entreprises sont mieux équipées pour relever ce défi. En combinant l’apprentissage automatique, le Data Mining et d’autres technologies avancées, les solutions comme IPMetrix, Front View ou encore notre Data Lake ouvriront la voie à une nouvelle ère de la veille, où l’information sera non seulement accessible, mais aussi exploitée au maximum de son potentiel. Vous souhaitez en savoir plus sur notre outil ?