Role of Artificial Intelligence in Intellectual Property
                     Role of Artificial Intelligence in Intellectual 
Property
For decades AI has been a technology that can manipulate large volumes of data efficiently  
and quickly. It can also help identify the patterns and speedily analyse the ideal solution, 
which  can be applied to several day-to-day scenarios. Moreover, it has been set to come of 
age in  the era of big data and real-time decisions, where AI can offer solutions to old 
challenges and  issues.
Let’s take, for instance, traffic management. London’s initial traffic management system was  
a manually operated gas-lit traffic signal that exploded two months after its introduction. 
Since  the inauspicious start, a complicated network of road closures, traffic lights, traffic  
management, and pedestrian crossings have served to drive the complexity of traveling in the 
 city. Now traffic goes more slowly than ever, so several new systems are added to manage 
the  system better.
AI can change it. It can instantly gather information on the traffic volumes, current blockages,  
and historical trends to provide the ideal solution for the traffic in London. It can do this in  
real-time, continually managing and tweaking flow to deliver the best outcome. AI is the  
increasingly best technology for organizations wanting to solve the more complicated and  
burdensome data challenges.
Digital retailers are mainly utilizing AI to forecast electricity demand. Most mobile networks  
use AI to manage the increasing demand for information. We are standing on the threshold  
of the new age of AI technology.
The IP industry is another market where AI has a profound effect. Conventionally, it is 
powered  by manual searches, paper, and lengthy decision-making processes. AI can simplify 
day-to-day  tasks to deliver enhanced insights from the IP data.
Reducing Risk and Enhancing Efficiency
The administrative tasks of the IP are highly intensive and risky areas of the IP. The law firms  
and corporate IP departments might anytime cover the thousands of individual items of IP  
data across several jurisdictions, dealing with several products. Historically, it has been a slow  
procedure and significantly manual.
Hundreds of items of paperwork might be generated in a different language, each with its  
opportunities and challenges.
Each data currently would be checked manually and input in any IP management system.  
Naturally enough, this could result in errors in data processing. Now consider this across  
several patents. Opportunities for mistakes are boundless. Well, IP remains the most  
treasured asset for several organizations. A simple mistake in imputing the renewal data can  
risk losing an asset worth millions. Well, it is worth noticing that the WIPO (World Intellectual  
Property Organization) estimates around a quarter of patent information is wrong. Thus, the  
risks are better evident.
Additionally, the considerable time and cost from the manual labor indulge in imputing the  
data. This activity can be automated, allowing law firms and IP experts to be dedicated to  
more strategic issues. AI Technology is proficient in processing large sets of data instantly and  
accurately. Also, it enables IP experts and law firms to take up more strategic roles in the  
company, getting insights from the data to shape future company performance while leaving  
many ordinary aspects of IP management to the systems.
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