Business Models and Uses of Artificial Intelligence in Strategic Planning

Uses of Artificial Intelligence: Today, businesses of all sizes can use AI in different ways. For example, autonomous delivery robots can be used to serve a variety of departments in a hospital, from the pharmacy to the lab and everything in between. They can even be used to deliver food, linen, and environmental services. Aethon has five autonomous delivery robots that make more than 5 million deliveries annually, reducing costs by up to 80 percent.

AI is changing the world in more ways than you may think. As the world becomes more connected and technologically advanced, it is increasingly being used to improve business processes.

Businesses can use Artificial Intelligence to increase customer service efficiency, billing, compliance, procurement, logistics, and many other tasks. However, this technology is not yet fully mature, and businesses need to start small before making it a mainstay of the organization.

While some companies may fear the disruption of AI, traditional organizations should not underestimate the potential impact it can have on their business. Using Artificial Intelligence in strategic planning can be as effective for long-established companies as it is for startups.

Uses of Artificial Intelligence in Strategic Planning:

Artificial Intelligence can help companies with tasks ranging from reading X-rays to setting prices, forecasting demand, and even maintaining jet engines. While some organizations might be hesitant to adopt AI, others are already reaping the benefits.

Are you wondering how you can learn AI and implement it in your businesses? Worry not! Some of the artificial intelligence courses will make you familiar with this cutting-edge technology and help you and your businesses stay ahead of the competition.

What are AI Business Models?

There are many different kinds of AI-powered businesses. Some focus on winning contracts and others on maximizing revenue. Both these types of businesses utilize AI to improve services and increase traffic.

But a business model is different from a revenue model. A business plan describes how a company will generate its revenue. An AI-powered business model could include a number of revenue streams. Here are some examples of AI-powered businesses.

Two different kinds of AI-powered businesses:

  • Hybrid model: This approach combines an AI-powered service with a human-assisted product. The main difference is that the latter is a high-value service, while the former requires significant AI maturity. These models may be better suited for technical consulting firms. A technology startup that focuses on providing near-term value may not be best suited for building AI maturity.
  • Software business: In contrast, a software-based business relies on a large number of customer-specific inputs and ongoing human support. As a result, AI businesses do not look like software companies, and they often involve high upfront costs and ongoing human support. As such, they are more similar to service businesses.

In fact, the first type of AI business is more like a software-driven business, which means that the company must continually monitor the data to ensure that it is always on the up and up.

Uses of Artificial Intelligence in Strategic Planning

The most obvious use of AI for strategic planning is to predict the future, but the benefits aren’t limited to prediction. It can also indicate future behaviors and trends, allowing a company to anticipate consumer reactions and behavior better.

In some cases, companies are already using artificial intelligence in their strategic planning processes, and the possibilities are endless.

But how can AI help a business? Here are six uses of AI for strategic management.

Read Also: Hyper-Automation

Customer Data Collection:

In most cases, companies use human input for writing earnings reports and messaging. However, AI can automate these processes and augment human judgment.

The first step in adopting AI for strategic planning is experimenting with the technology and learning from the results, and the second step is to adopt new key performance indicators.

With AI, companies can create new criteria for success, improve collaboration and information sharing, and improve decision-making and learning effectiveness.

Customer targeting:

In some cases, marketers use mechanical AI to collect customer intelligence. In other cases, they rely on thinking AI to analyze emotional data. This can lead to over-reliance on feeling AI and customer disengagement.

For example, using a machine learning algorithm to monitor customer driving behavior can result in higher insurance premiums or in a better understanding of the way customers behave.


This AI-powered tool allows marketers to slice markets by gender, price, and quality. It can be used for customer satisfaction as well as product development.

By analyzing customer data, it can also identify niches that require new products. By applying these insights, companies can make better decisions and deliver better customer service. So, how can AI help in strategic planning? It is possible to create a better customer experience.


Earlier, companies relied on sales and emotional aspects to predict feedback. But today, companies can use the data to strategize better. In fact, AI-based surveys are more accurate than ever. The use of AI in strategic planning is a game-changer for the industry.

As a result, it can help make the business more customer-centric. These studies should help you find ways to implement AI-driven analytics into your business.

Help organizations improve the way they interact with customers:

It can predict future market trends and improve customer service, which can drive sales and increase profitability. It can also help companies create new revenue streams through marketing.

In addition to optimizing processes, AI can also be used to create personalized experiences for customers. It can even make customer service more effective.


In order to succeed in an AI course, you must have some programming knowledge and experience. You must be familiar with several programming languages, including Python, R, C, Java, and MYSQL. Understanding these languages is critical in understanding the field of AI. Once you know these languages, you can choose the best artificial intelligence course online.

Another popular course for beginners is the Introduction to Artificial Intelligence course, which provides essential knowledge about AI and its various applications. These programs from Great Learning will introduce advanced concepts in the field.

You will get familiar with Python and Numpy coding, as well as Linear regression and Gradient descent. The program also includes a capstone project. Whether you’re a student, manager, or developer, these courses will help you achieve your career goals.

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