Artificial intelligence will undoubtedly drive the future of human society. This is especially true in the business world, where time is money, and every business wants ooptimize your profits by achieving successful integration of AI and robot. THE World Economic Forum estimates that by 2025, AI will have eliminated 85 million jobs and created 97 million new ones, meaning the global workforce is in the midst of seismic change.
Despite these forecasts, many companies are slow to take advantage of AI and robots. Currently, while 90% of top companies have invInterested in AI technology, less than 15% have actually integrated artificial intelligence into their work.
Much of this hesitation stems from a combination of misunderstanding the technology, high costs, and misconceptions about what needs to be done to achieve integration.
First things first: AI and robots are not interchangeable
If someone asks you to imagine a robot, whatever type you want, chances are you’re imagining something vaguely humanoid with some level of intelligence. Maybe you’d think of a Westworld automaton or C-3PO, or maybe something like Wall-E comes to mind. Either way, most of us find it difficult to separate robotics from artificial intelligence.
The truth is that although we often associate them, the two technologies are entirely separate from each other and serve different purposes.
According Oxford Languagesthe definition of artificial intelligence is “computer systems capable of performing tasks that normally require human intelligence, such as visual perception, voice recognition, decision making, and translation between languages”.
During this time, the Encyclopedia Britannica defines a robot as “any automatically operated machine which substitutes for human effort, although it does not resemble human beings in appearance or perform functions in a human manner”.
AI and robots autonomously perform tasks that humans typically perform. Yet one doesn’t necessarily need the other, and neither is required to look or function exactly as a human would. These distinctions are important when considering implementing AI or AI-based robots in your business.
The Cost Barrier of Enterprise AI Tools
Today, the cost of AI tools can sometimes be prohibitive. Cost estimates depend on the industry a company operates in, the type of software being built, and the overall complexity of the solution.
Fully automating bots and implementing advanced AI tools can be costly, especially if an organization has to significantly change its established work processes alongside new technology. There are no hard numbers on how much AI-powered robots will cost a business, but numbers can range from $6,000 to over $1 million. Unfortunately, many companies see these prices and think it’s impossible to integrate this technology into their workflows.
However, that’s not the whole story. First, it is important to recognize that some level of initial investment in AI-based tools must be made sooner or later in order to remain competitive. Second, there are strategies for adopting integrated systems more effectively.
Let’s look at three simple strategies for integrating artificial intelligence and bots into your business processes in a cost-effective way.
1. Look for ways to integrate AI tools with existing systems
It’s often incorrectly assumed that adding AI-powered bots to existing workflows means you have to completely tear down and rebuild the entire system. It’s extremely expensive, time-consuming, and resource-intensive, so the whole process feels daunting and isn’t worth it.
Fortunately, this is not always the case. Before changing anything, it’s crucial to do a cost-benefit analysis to make sure that what you’re changing will pay off in the long run. It often happens that rebuilding your entire system is the least cost-effective approach and does not achieve the desired results.
Instead, consider integrating different software and other tools into existing systems. For example, using AI tools like Tensorflow or AutoML can help your team test, research, and learn more about machine learning models and their impact on various work processes before investing in expensive bespoke solutions that may or may not meet your needs.
One of the best things to do is sit down with a knowledgeable person and outline the types of things your business hopes to automate. This can help you focus on the most essential automation steps, making it easier to see where you can integrate AI-powered tools into your existing systems.
2. Robots can’t take responsibility, so know who’s responsible
It’s true that robots are much less likely to make mistakes than humans, but they’re not infallible, which means a mistake will eventually happen.
Despite what science fiction might say, the fact is that robots are not capable of taking responsibility for their decisions. When there’s a clear human chain of command, it’s a little easier to determine who’s responsible for mistakes or problems when they arise, but the lines become blurred when AI and bots are thrown into the mix.
While legal disputes over AI liability will continue for the foreseeable future, it’s essential to cover all your bases before you start using robots in your workplace. In fact, it’s worth consulting with legal counsel to ensure you have plans in place for any future litigation or issues that arise.
3. Remember the goal is synergy, not replacement
There is no doubt that the future of mankind is all about AI and robots. However, there is a mistaken belief that robots will “replace” humans in all aspects of the workforce.
Ultimately, the goal of robots and AI-based tools is not to replace humans but to work synergistically alongside them. Robots excel at mundane and repetitive tasks, but there will always be a need for humans. The sooner companies can shift their mindset from replacing people to helping workers, the sooner they will see progress. This mindset will also save organizations considerable time and money when it comes to onboarding.
Consider the jobs people often think robots will “take” from them. If we augment these jobs with robots and reduce risk with a human, the overall work experience would be better for employees, customers, and the business.
It is essential to understand the strengths and limitations of robotics and AI.
The robotics revolution is here, but profitable integration doesn’t have to be difficult
Advances in artificial intelligence and AI-based robots are enabling us to revolutionize the way people work around the world. As technology continues to grow and develop, more companies will look for ways to integrate robots into their work processes without breaking the bank to do so.
Effectively integrating AI-powered tools doesn’t require the most expensive custom AI solutions. The tips above can help your business dip its toes into the world of robotics to see how it can improve both the bottom line and the human work experience.
Hybrid intelligence is the answer to this for two reasons. First, it plays to the strengths of bots and humans, as discussed earlier. Second, it takes into account the environmental impact of an automated future. If we forced full autonomy on robots, there would be an overwhelming amount of obsolete machines that would end up in landfills. This places an astronomical environmental and economic price on this path.
Instead, if we take advantage of the hybrid intelligence pathway, we can safely increase robotization and automation, save production costs, reduce negative environmental impact, and create an ideal world for human-machine collaboration.