Cognitive computing is one of the biggest trends in technology right now. But, as with any big trend, not everything about it is good — there are also some pretty notable disadvantages.
So we’ve put together a list of the top 10 disadvantages to cognitive computing to give you a balanced view of what this kind of tech might mean for you and your business.
What Is Cognitive Computing
The market for cognitive computing was estimated at $11.11 billion in 2019 and is anticipated to grow at a CAGR of 26.6% to reach $72.26 billion by 2027.
Cognitive computing is one of the most exciting innovations in technology today. It’s a relatively new concept, but it opens up new possibilities for the future of computers and the way that they can interact with humans.
It’s a technology that aims to bring AI to businesses and consumers at a practical level, which has significant potential for productivity boosts, workflow optimization and enterprise-wide automation.
In short, cognitive computing offers an exciting vision of what computers can do – and it may be just around the corner.
Disadvantages Of Cognitive Computing
Cognitive computing systems are designed to process and respond to natural language inputs. They use machine learning algorithms to learn from data, in order to improve their performance on tasks
such as classification and prediction. Artificial intelligence research is ongoing into ways to make these systems more effective, including methods for training cognitive systems.
The market for cognitive computing, which was valued at $8.87 billion in 2018, is anticipated to increase at a CAGR of 31.6% from 2019 to 2026, reaching $87.39 billion.
Computer science is the study of computers and computational systems. It is a relatively young field, having only been established as a distinct discipline in the 1940s. The field of cognitive science is concerned with the study of the mind and cognition.
1. It’s Still In Its Infancy
Cognitive computing is still an emerging trend, and is largely just on the cusp of being commercially viable. That means it’s still early days for this kind of technology, which isn’t yet at a point when it’s ready to become mainstream.
That also means that many businesses aren’t even considering cognitive computing yet as a potential IT solution, so it could be a while before they factor it into their purchasing decisions.
2. Not Everyone Tech-Savvy Enough To Fully Take Advantage Of Cognitive Computing
You don’t have to be an IT pro to use cognitive computing — but you do have to be tech-savvy enough to get the most out of it.
That means not only having a high level of knowledge about computers and technology, but also being able to think creatively and quickly in order to beat complex software and algorithms when they come up with tricky problems that require a quick response.
That’s why it’s so important for businesses looking into cognitive computing solutions to make sure that their staff are well versed in how these technologies work.
3. It’s Still Early Days For The Technology
Cognitive computing has only just started to emerge, so it’s an emerging technology that probably won’t be fully understood for a while. That means it’s not yet a mature technology — and it might not become one until the mid-to-late 2020s.
Until then, businesses buying cognitive computing solutions will have to make do with the technology being in its infancy, which means that they’ll need to factor in potential issues along with potential new benefits as they look at what kind of cognitive solutions they will be able to purchase.
4. Cognitive Computing Requires Human Interaction
Cognitive computing technology isn’t all that it might seem on the surface, and most of its benefits come through human interaction. It’s a bit like having a personal assistant — it’s able to understand your needs and actions, and make important decisions based on them.
But it’s still an intermediary step between you and the computer, so you need to be aware of how the system will interact with your staff — whether they’ll be comfortable using it or not.
Making sure that cognitive technology is used appropriately is crucial for businesses when considering cognitive computing solutions.
5. Not All Software Will Be Able To Utilize Cognitive Computing
At a Compound Annual Growth Rate (CAGR) of 30.5% over the forecast period, the size of the worldwide cognitive computing market is anticipated to increase from USD 20.5 billion in 2020 to USD 77.5 billion by 2025.
Although there are plenty of software solutions that will be able to take advantage of cognitive solutions, some aren’t going to benefit quite as much as others.
For example, there are certain kinds of software that won’t be able to handle cognitive computing very well — so you’ll want to make sure that whatever you’re looking at can seamlessly integrate with whatever it is that you need it for in your business.
6. Humans Are Still Better For Certain Tasks Than Computers Are
Even the most advanced cognitive computing technology is still going to have its limitations, so you shouldn’t expect it to replace humans in every aspect of your business.
The most obvious example of this is when it comes to tasks that require physical work. It’s unlikely that you’ll be able to automate your manual labor, so you’ll need to keep people around for that.
There may be certain aspects of the job which can be handled by technology, but it could be a long time before cognitive computing can handle everything required in the workplace.
7. Cognitive Computing Is Still A Work In Progress
One of the biggest disadvantages of cognitive computing is that you shouldn’t expect it to do everything just yet — and even if it does, there will probably still be some kinks to work out along the way.
For example, cognitive computing technology still needs more of a backbone to support it — which means that it’s not going to be as effective as it could be, because the technology isn’t quite where it needs to be.
8. Cognitive Computing Is Still Widely Misunderstood By Businesses (And Consumers)
There’s a lot of confusion about cognitive computing at the moment — especially when it comes to how these solutions will affect businesses and consumers.
A lot of that comes from the fact that these technologies are still so new, but the industry will eventually catch up with the demand for cognitive computing solutions. For now, though, it’s important to make sure that you know all the advantages to cognitive computing and the disadvantages too.
There are plenty of businesses out there that aren’t aware of what this kind of technology is capable of — and they’re missing out on one of the most exciting times in computer history.
9. Cognitive Computing Builds Bridges, Not Trenches
One advantage to cognitive computing is the fact that it can help bridge the gap between humans and machines — and help create a more seamless experience for business users.
It’s designed to integrate with both humans and machines, so it makes sense that it would be an ideal solution for many different kinds of businesses — from restaurants to car manufacturing plants. It’s a new kind of technology that offers a lot of benefits, but that also comes with its own set of potential challenges.
10. Cognitive Computing Currently Puts All The Work On Businesses
One of the biggest drawbacks to cognitive computing is the fact that it requires businesses to take significantly more work onto their plates — and manually enter information into databases in order to get things done.
That’s not always practical — especially for smaller businesses — and it can also be a lot more time consuming than some may prefer. It isn’t just about getting a company to buy this kind of tech solution either: businesses need to buy it and learn how to use it, which can be an uphill climb for many enterprises.
Benefits Of Cognitive Computing
Cognitive systems are systems that are designed to perform tasks that require cognitive abilities. Technology is often used to create and implement cognitive systems.
According to a recent analysis by FMI, the market for cognitive computing is predicted to grow at a rapid CAGR of 28.7% to reach US$ 3.2 trillion by 2032, up from US$ 257.1 billion in 2022.
Cognitive computing technologies are creating very accurate data analysis, with cognitive computing system like IBM’s cognitive computer system leading the way. This technology uses artificial intelligence and machine learning to simulate human thought processes, making it more efficient and accurate than traditional methods.
1. It’s A Whole New Dimension For Computers
What many people don’t realize is that cognitive computing is actually something that’s been around for a long time. As long as computers have been around, they’ve had the ability to learn, and “think” — but now we’re seeing those capabilities come together in a new way.
Cognitive computing means that computers can work alongside humans in real-time, making them more effective than ever before.
2. It Offers An Easy Way To Access New Features
The size of the worldwide computer graphics market, estimated at US$ 178.7 million in 2021, is expected to increase by 8% CAGR to reach US$ 406.3 million by 2032.
Cognitive computing also allows businesses to access new features and software solutions in a completely seamless manner — without having any experience at all. It’s like learning a new language, but you don’t have to worry about confusing or complicated word meanings.
You won’t have to learn vocabulary or grammar rules — you’ll simply be able to take advantage of all of the capabilities that this kind of technology has to offer.
3. It Adds Value And Workloads For Businesses On An Ongoing Basis
Cognitive computing isn’t just a novelty — it’s actually providing a whole new way for businesses to use their computers on a daily basis. It’s helping them improve accuracy and speed, while also offering other benefits that weren’t previously possible anywhere else in technology.
That makes cognitive computing a significant investment for businesses, because it’s bringing a lot of value to the table.
4. It Can Automate Many Business Processes
Cognitive computing is capable of automating many of the business processes that are currently completed manually — which means that those individuals can now focus on more important tasks.
That includes people who are executing basic tasks, like data entry, but also those doing work that requires more advanced skills. This kind of technology can streamline operations everywhere in your business — which will result in fewer errors and a lot more efficiency overall.
5. It Can Help Drive Industry Efficiency
With a CAGR of 30.1%, the cloud category makes up the majority of the market for cognitive computing in terms of deployment.
One of the most important benefits of cognitive computing is that it can help drive industry-wide efficiency and productivity. For example, a restaurant that’s using cognitive computing can now use the technology to speed up their order processes — while also ensuring that they’re getting the best value possible in their food.
It’s a brilliant way to improve customer experience and drive revenue, but it’s also cutting down on overheads and administrative costs too.
There will be plenty of other industries out there where this kind of technology will make a positive impact — so it’s definitely worth investing in right now.
6. It Can Help Solve Business Challenges
Cognitive computing can help businesses solve many issues — including customer service challenges. It can also help improve overall business performance and processes, including those that are related to product quality, corporate social responsibility and more.
The new technology can even help spread awareness and better education in businesses that are starting to explore the new possibilities offered by cognitive computing.
There are many benefits to this kind of technology — you just need to work out which function is most important for your enterprise if you’re going to choose it.
7. It’s A Fortune 500 Technology
For many years now, the Fortune 500 companies have been using cognitive computing in some capacity. That’s great news, because it means that this technology is now being used by some of the largest companies in the United States.
It’s a major validation of cognitive computing as a concept — and it also shows just how powerful companies can make their existing AI tools when they integrate them into something bigger. It makes cognitive computing a great choice for companies to consider as an enterprise-wide solution.
8. It Offers Human-Like Interaction For Computers
Cognitive computing has the power to transform computers from learning machines into human-like computers.
These second generation machines will be able to interact with humans in ways that we’ve never been able to do before — including being able to learn language and communicate with us like people would.
That’s a significant breakthrough in the world of technology, and it has the potential to fix many of the problems with how computers are currently used — which could ultimately be a very positive change.
In the near future, cognitive computing will be able to do more than just help humans with certain tasks — it’ll also be able to educate and inspire an entire generation.
For example, it’s capable of teaching children who are starting to learn how to read. The technology can provide a robust learning experience that’s tailored to each individual child — and will only get better as time goes on. The possibilities for this kind of technology are very exciting indeed, but we’re still in the early stages here.