A lot can be said about a new industry for its patent patterns, including where the greatest opportunities are. Big Data is the ability enabled by technology to detect trends in real-time and understand the hidden relationships between apparently unconnected events in order to improve business success.
There is still plenty of "white space" opportunities to innovate with new Big Data products and services. And some in privacy, transport and supply chain, intelligent automation, social networks, and security (although patents in these last two sectors have begun to increase in recent times).
So how can you see the path that innovation is taking in these sectors of Big Data?
Imagine you are in the commercial security business. When designing and selling products and services for retail chains such as Wal-Mart that try to limit theft and fraud, it is a huge cost problem for companies over $ 50 billion a year.
In this case, your Big Data opportunity could be in the design of algorithms that analyze real-time video images from security cameras, real-time data capture from point of sale cash registers, and employee data on a day-to-day basis, programs to check and detect correlations hitherto hidden, for example, between the number of people online, the number of transactions executed, the average size of the transactions, the payment method (cash, check or card ) and the time of day that can point to employee theft. Thus, you should use a professional help in your case. We suggest you reach InventHelp to find existing claims, products, and inventions, so you don't face any problems.
To give another example, this time from the welfare of employees and privacy.
Let's say you manage employee welfare programs for business. Three-fourths of employers operate welfare programs because the vast majority of full-time workers now have one or more chronic conditions that raise the health costs of their companies, which have risen to become the third expense biggest in business today. And there are already studies showing that for every $ 1 spent on employee welfare programs, medical costs fall by $ 3.27 and absenteeism costs fall by $ 2.73, however, the promotion of better health habits among Employees are obvious to companies.
Your Big Data innovation here could be the development of large data software that can evaluate the biometric data of employees, in real-time through portable devices to detect unhealthy trends in the workplace - a significant increase in levels of stress, for example, or an increase in the entire workplace in the body mass index of employees. This must be done, of course, without compromising the privacy and confidentiality of each employee's medical information.
However, despite the fact that there are still a lot of white space opportunities in Big Data, innovators face real challenges in trying to patent innovations because most patent and trademark offices limit the types of methods of software and business that can be patented.
You can no longer simply reproduce normal human activity through a computer, for example, data analysis to detect correlations not seen before, and obtain a patent for it. To be patentable at present, the software has to take a really inventive step and either triggers an action, use a device, or somehow produce a tangible transformative result.
So how to overcome the obstacle of patents?
In the example of the commercial security mentioned above, one approach would be to design the software in that Big Data employee theft prevention system to trigger in real-time the blocking of any cash register marked by the system and the security of alert. This invention would probably be patentable under current laws, as long as it is novel enough and not obvious - and the patent application sufficiently detailed to precisely show how the action is triggered by the data.
In the employee welfare space, a patentable invention could involve alerting management and text messages used, provided that an increase in health risks is discovered by its Big Data application.
The opportunity offered by Big Data is as real as the Internet opportunity when the first commercial web browsers appeared in 1993. But you have to be smart to get close to it.
It is necessary to analyze the entire market, product, and environment of patents, in search of the best opportunities for blank space to innovate in products and services to solve the real problems of Big Data customers. While there are plenty of such companies to get help, we suggest you get help from InventHelp, they have been helping innovators for a long time. They will help you get more out of your invention, get it patent and delivered to right customers.
Then you have to filter those opportunities to find the most open sectors for patent protection, remembering that any patent you present must be able to exceed the strictest standards for software patentability.