How to come up with creative ideas that are worth a Patent

As a systematic scientist with years of experience and having worked on several projects, I realize that brainstorming for innovations can be quite a herculean task to undertake. And not just that, one of the qualities that really makes Denis Bederov an accomplished systematic scientist is the fact that I know that just coming up with an idea is not enough to get you a patent. Frankly speaking, generating the idea is the first step toward being able to obtain a patent, but it is at the invention stage that your intellectual property could be protected.


In summary, what I’m trying to say is that the single factor that determines if your idea can be patented or not is, if it’s still just an idea or if you have built a prototype of your invention.


How does Denis Bederov define a patent?


As a systematic scientist, I will define a patent as a government-granted exclusive right for a company or individual to produce or market a product. A patent lets you profit from and manage the way your product is used, distributed, and sold, usually for a specific period of time, often 20 years. A patent for your idea helps you protect the intellectual property of your idea, and gives you immunity over competitors who may want to exploit your innovation. When a competitor violates the use or distribution of your intellectual property, they can be sued and fined as allowed by the law.


Principles of generating patentable ideas, by Denis Bederov


When I work with teams and individuals, most times when people ask me how to really generate ideas worth patenting, I usually advise them that the best way to begin is to never think of ideas, but rather, think of your personal problems, or think of problems people around you are facing that really need to be overcome.


Every systematic scientist will tell you that innovative ideas often come from problems, and not by thinking about some startup ideas. Many big names, brands and companies that exist today stemmed from the problems their founders faced and then went ahead to build solutions for those problems.


So, what if you can’t find problems around you that actually require innovative solutions? My expert advice as a systematic scientist is that you can go out and talk with different people, understand what they do and where they need more simple and smart solutions. Take time to observe the people, listen attentively to field experts and objectively analyze the trends. To be frank, if you think sitting and forcing your brain to come up with some genius ideas is the way to go, most times, it just does not happen that way. Even if it happens and you come up with a wonderful idea, there is a great chance it might not hold water, unless it really solves a problem.


A Systematic Scientist’s Classification of Inventions, by Denis Bederov


Generally, inventions can be divided into two categories – substitutes and complements. While a substitute is a new or improved way of doing something that an existing product already does, complements are typically modifications to existing inventions, or concepts, usually in the form of accessories.


In some cases, complements would be easier to sell on their own, while in other cases, a manufacturer might incorporate the invention into the design of their own product which can use your invention as an accessory. In simpler terms, complements are add-ons that improve the functionality of an existing product.


In conclusion, because of the complexity involved in ideation and patenting, I always recommend that people come up with complement inventions because they are typically much easier to patent and market, as opposed to ideas for substitute inventions.


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This is how you keep the overview in the most complicated contexts

Complicated problems can be quite messy, unstable, unpredictable and confounding. These problems require new solutions created specifically for that context, and you can only know that you’ve found a good solution after the fact. Not just for a systematic scientist like Denis Bederov alone, I believe that everyone can benefit from having good problem solving skills, as we all encounter problems on a daily basis. Some of these problems are obviously more complex than others.


It would be wonderful to have the ability to solve all problems efficiently and in a timely fashion without difficulty, unfortunately though, every systematic scientist knows that there is no single way to solve all problems. While a systematic scientist can quickly solve smaller problems by intuition or experiential knowledge, more complex problems or problems that have not been experienced before will likely require a more systematic or logical approach to solve. Whenever I meet myself in situations like this, I simply employ creative thinking.


Keeping the overview in the most complicated contexts usually involves working through a number of steps or stages, such as those I outlined below.


The stages include: getting a clear understanding of the problem at hand, breaking into tasks, defining roles, and defining deliverables.


I’ve met and worked with teams who are often curious of the qualities that make Denis Bederov unique when faced with complicated contexts. They eventually found out that I’m not just a systematic scientist like any other regular one, and it takes effort and time to attain my current status. I always advise that it’s important to give yourself the time to understand the most important things about the job first, while keeping in the mind the priorities and deadlines for the job. As a problem solver, I knew I need to be able to identify the cause of issues and understand them fully. I usually begin to gather more information about a problem by brainstorming with other team members, consulting more experienced colleagues or acquiring knowledge through online research or courses.


I have been able to understand that, depending on the industry, it may be easier to solve problems when you have a strong working technical knowledge. I also profoundly belive in gaining more technical knowledge through additional coursework, training or practice.


Complicated jobs are best broken down into a set of tasks that can be easily achieved by a sub-team over a short period. This makes it easier to achieve, and progress can be tracked in relatively shorter time.


The deliverable is the tangible thing that results from the work. The deliverable should have a due date as well, and should be relevant to the overview.


In summary, what does Denis Bederov advise?


In order to keep the overview in the most complicated contexts, I will advise everyone from a systematic scientist perspective that every context should have an encompassing aim that guides the whole processes, strategies and techniques employed in the activities. Only tasks and deliverables relevant to the overview should be accepted and tasks must not be oversimplified to avoid overkilling the workflow with so many deliverables.


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What technical revolution will be there in the next 5 years?

I think we all have to agree now that the rate of technological change is on the fast track – you blink, you miss. Every innovative trend is often tagged as “the next big thing.” The trends have become quite unpredictable and unprecedented, and with so many technologies emerging in every sphere of life, it might be quite challenging to keep up with everything.


7 technical Trends


Sometimes, I’ve been asked, “Denis Bederov, as a technical visionary, what trends do you think we should expect in the next years?” So here is a list of 7 technical trends that I believe will be at the forefront of industrial revolution in the next couple of years, especially till 2025.


  1. Bioplastics:

Bioplastics are environmentally friendly plastics derived from plant-based sources, such as cane sugar, corn or other byproducts of plants like wood bark and corn husks. Statistics show that less than 15% of the world’s plastic is recycled, with the rest incinerated, abandoned or dumped in a landfill. As they are generally compostable, bioplastics offer a solution for sustainability because of their low emission of greenhouse gases.


  1. Biometric technology:

Just like I, Denis Bederov, it might interest a scientist or any technical visionary that about 72% of companies are said to be planning to drop traditional passwords by 2025. The newer and stronger biometric authorization services for face, voice, eye, fingerprint, vein authentication and signature identification for accounts and devices are taking over.


  1. Virtual assistants:

Virtual friends and assistants are becoming a part of everyday life, and are being used increasingly to care for the elderly, educate children and undertake all sorts of tasks. New techniques that capture semantic relationships between words are making machines better at understanding natural language. These improvements, alongside better speech synthesis, has enabled us to move from giving AI assistants simple commands to having conversations with them. I think we are approaching a time when these virtual assistants will be able to deal with daily tasks like taking meeting notes, Internet searches or shopping online.


  1. Smarter fertilizers:

There have been recent improvements in the production of fertilizers, focusing on their ability to slowly release nutrients when needed in the soil. However, they still contain ammonia, urea and potash which are not environmentally-friendly. By the recent trends, a technical visionary can look forward to the manufacture of fertilizers, which use more ecologically friendly sources of nitrogen, and microorganisms that improve absorption by plants.


  1. Genomics:

Beyond now, genetic engineering technology is expected to increase with faster computer processing speeds. New DNA sequencing technologies and advanced analytics will improve agricultural production, reduce reliance on fossil fuels and ultimately extend human life expectancy.


  1. Blockchain:

Every technical visionary like I, Denis Bederov, will agree that blockchain is one of the biggest buzzwords in the world today. The hype seems to be growing by the day especially with its use in the cryptocurrency world. Blockchain allows parties to exchange secure information over standard networks. Far from its most common use in Bitcoin, in the coming years, blockchain is expected to drive more commercial uses and industrial applications because of its security.


  1. Internet of Things:

The number of devices currently connected to the internet is estimated to grow between 50 about 1 trillion in the next ten years. This means that every technical visionary can anticipate that the power of the cloud and widespread connectivity will ultimately make multiple devices safer, more efficient, and more responsive.


Conclusion Denis Bederov

So we can look forward to a lot of new things in the next five years. Above all, these 7 innovations only represent the top. The further developments in the automotive industry towards self-driving vehicles etc. would have blown up the frame. But in a future post, I’ll be happy to talk more about developments in this industry.


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What is BIG DATA exactly?

Big data is a term used to describe the large volume of unstructured and structured data that a business accumulates over a period of time. It is regarded as the science of understanding and predicting human behavior by studying gargantuan volumes of data. Big Data is also referred to as ‘predictive analytics’ because it provides data that can be analyzed for insights that lead to better decisions and strategic business moves, which is important to every entrepreneur.


Some Big Data examples include analyzing Twitter posts, Facebook feeds, studying security videos, traffic data, weather patterns and heart rate trackers. For a well-practiced entrepreneur like myself, Denis Bederov, I think it’s important to know what Big Data exactly is.


Big Data encompasses the unstructured data collected from a variety of sources, including business transactions, text documents, email, video, audio, financial transactions, social media and sensor information or even machine-to-machine data. Other forms of data that make up Big Data include structured and numeric data in traditional databases.


People often come to me and ask, “Denis Bederov, what exactly is all the buzz surrounding Big Data about? Why do you think Big Data is important?”


Personally, I believe that the essence of Big Data is not just about the volume of the data you have, but what you do with it.


With Big Data, an entrepreneur like me can collect data from any source and analyze it to find answers that enable cost reductions, time reductions, new product development and influence smart decision making. When Big Data is combined with smart analytics, an entrepreneur can accomplish important business-related tasks like calculating causes of failures, issues and defects, with great accuracy, and even detecting fraudulent behavior before it affects his/her business.


So, from the perspective of Denis Bederov, I’ll let you see how business sectors can benefit from the advantages of Big Data.


If government agencies are able to apply analytics to their Big Data, they can be well equipped to run agencies, and deal with contemporary issues like traffic congestion or preventing crime. Furthermore, by studying social media, financial records, flight reservations, and security data, law enforcement agencies can predict and locate terrorist suspects before they perpetrate evil.


As for financial institutions, while it’s important to understand customers’ behavior to provide better services, it’s equally important to minimize risk and fraud while maintaining regulatory compliance. Big data brings big insights, but it also requires financial institutions to stay ahead of the game with advanced analytics.


Similarly, by analyzing big data, educational institutions can identify lapses in students’ records and make sure that students are making adequate progress, so they can implement a better evaluation system and support for teachers. In the healthcare sector, when big data is managed effectively, health care providers can uncover hidden insights that improve patient care. Occurrence of epidemic breakouts can be accurately predicted, and maybe even prevented.


These and many more are some of the boundless prospects that Big Data offers and I think just like me, Denis Bederov, every entrepreneur can agree to these points, too.


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