AI can be applied in business by understanding what AI actually is. AI is a branch of computer science concerned with building machines that are capable of performing tasks that usually require human intelligence. When it comes to business, AI is not really seen as a replacement for human intelligence but as a supporting tool. AI has already changed the business world and is opening up limitless potential portals to benefit the entire society. To learn more about AI, you could check out this artificial intelligence course.
PwC’s research shows that 45% of total economic gains by 2030 will come from product enhancements, stimulating consumer demand. This is because AI will drive greater product variety, with a tremendous increase in affordability over time. The research further estimates that AI could potentially contribute $15.7 trillion to the global economy by 2030. According to PwC’s 24th annual global survey, 85% of CEOs agree that AI will change the way business is done in the next five years. While some think AI is ‘good for society’, a higher proportion say that AI-based decisions need to be explainable before they can be trusted.
AI is the future of the business world, and to stay in the competition, a majority of the companies will have to implement it. All the hype around AI and its related fields has made it difficult to filter out where the value is and how to use the AI components that are so easily accessible. Learning about AI will help you adapt and improve your career options and add value to your organisation.
The growth in the AI market is only growing exponentially with time and, therefore, has a huge impact on leadership roles. Interested managers can learn AI here. The applications of AI mentioned above prove to be very beneficial to the managers, giving them more time to add value to their company. An Infosys study shows that 90% of the C-suite surveys reported measurable benefits from AI and that 77% of IT decision-makers are definite that employees can be trained for new AI-driven roles. As a manager leading a team, it is important to know where your organization is headed.
Table of Contents
Before implementing AI in your business, you need to know its applications and they are as follows:
1. Improve your marketing and advertising: Living in the 21st century, everyone knows how important it is to advertise your company so that it reaches the maximum number of people.
2. Predict behavior: ML algorithms can help in predicting the behavior of the system on the basis of their previous outputs and historic data.
3. Improve customer services: Virtual assistant programs can be used to provide real-life support to users.
4. Increase output and efficiency: The same tasks done by machines using AI algorithms are more efficient and way faster than the human brain, saving a lot of time.
Artificial Intelligence (AI): AI refers to the science and engineering used in making machines that can perform human tasks and indulge in human-like activities. Systems based on AI can process and analyze data and use actual facts to gather information.
Machine Learning (ML): Arthur Samuel describes ML as “a field of study that gives computers the ability to learn without being explicitly programmed.” ML sounds a lot like AI because it is. It is a field of AI. The systems built on ML have the ability to analyze and learn from their previous results or outputs.
The next step is to figure out what it is that you want to achieve and what are the problems that you want AI to solve and this can be done by asking yourself the following questions:
After you have answered the above questions, you now know what your business really needs and how far away you are from it. Now all you need is to come up with a strategy that will help you in understanding the basic promise of data science, its applicability, and its limitations. Make sure you explore your objectives and consider all the possible AI implementations. After you are done prioritizing your objectives, you need to decide what approach works best for you. It could either be building a completely new product from scratch or making use of readily available products. But before choosing any approach, make sure you have thoroughly researched.
Developing AI is not the same as developing any software. Therefore, it is suggested you hire domain specialists to do the same for you. AI is difficult to learn and requires lots of experience and a combination of skills to create special algorithms that can design the machines to work accordingly. There are special AI agencies that not only maximize your chance at success but help in avoiding any mistakes during planning and production.
No matter how advanced your algorithms are, you won’t get the desired outputs if your data is not clean. You need to make sure you provide high-quality data and for that, make sure you keep organising, updating, and expanding your dataset frequently. The high-quality data is going to be the foundation on which you build your solutions. The more data you have, the more efficiently your AI will work. Once the data is prepared, make sure to secure it. Using VPN, anti-malware apps may not be enough to invest in strong security infrastructure.
Now that you are ready to start, remember to start small. You can go from low-cost, low-risk projects to higher initiatives.
Q1. What can AI do for business development?
Ans: It has a wide range of use. AI helps in not only developing marketing strategies but in executing them. It processes and analyses data faster than a human can, with no error. It also provides insights that can improve sales. More than anything, AI is a tool of innovation. It can help us understand almost any industry and its inner workings.
Q2. Can small businesses use AI?
Ans: AI is revolutionizing small businesses. According to a survey of CEOs from small businesses, 29.5% of them have spoken in favor of AI and its many advantages.
Q3. What can ML do for my business?
Ans: Data collection and sorting can be automated, saving you time and resources. It will also tell you where your business is being successful and make predictions regarding your businesses’ future.
Q4. What are the examples of AI technologies?
Ans: Some of them include suggestive searches, speech recognition, natural language understanding, dialogue management, e-payments.
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