More Than a Calculator: AI in Mathematics Crunches the Numbers, then Finds Meaning in the Results for Your 2023 Business

AI’s Stellar Math Skills Will Get You the Answers You Need to Run Your Business, and Fast

The major impression that AI has made on business owners worldwide is that it can automate certain creative processes, such as content generation. Whether you are writing sonnets about sycamore trees or school papers about the history of Mars rovers or simply creating content for your business that converts to sales, the opportunities are limitless.

This prompt-based “something from nothing” kind of AI is called generative AI, and it is currently the most popular and well-known form of AI in the world.

However, business owners who are relatively new to using AI may not realize that generative AI is just the tip of the AI iceberg, which we like to call the A.Iceberg.

AI and Mathematical Processes

Let us be clear: Generative AI that creates text and even images (and brace yourself for AI-generated videos, which will only become more and more common over the next few years) is certainly impressive and increasingly essential for your business operations.

However, business owners everywhere are starting to discover what people in the AI field have long known: That AI is incredibly talented at making mathematics-based predictions.

This goes far beyond the usual “Joey has five apples, Jane has seven apples, how many apples yada yada yada” word problems that grade schoolers toil on. We are talking here about the ability to accurately identify things as notoriously fickle and humanly unpredictable as coming stock market trends.

In fact, Wall Street is already heavily reliant on AI in mathematics to take care of those pesky predictions. This in turn yields better data for brokers to go off of, so that they can make smarter financial investments.

What Are the Implications of the Prowess of AI in Mathematics?

Recently, the New York Times reported that AI is coming for the field of mathematics.

It will be interesting to see how future mathematicians will strive to thrive when there is technology available that could, in theory, solve incredibly complex problems that in the past only humans could solve. Would AI be an assistant, or the smartest “person” in the room that renders the human mathematician incomplete?

Historically, fields like pure mathematics, even considered “useless” by some, have shown strong implications for the business world. Pure mathematics, focused on solving problems without any apparent real-world applications, can unexpectedly shape the business landscape. For example, for complex reasons that we will spare you from, when or if the ever-nagging Riemann Hypothesis is ever solved, the solution could have an incredible impact on computer science, specifically cybersecurity.

For roughly a century and a half now, generations upon generations of human mathematicians have tried and failed, to varying degrees, to crack the Riemann Hypothesis. Now, if AI manages to solve such a problem, or at least significantly assists a human in solving it, then business owners would have to increase their cybersecurity efforts. This is because that particular math problem would, again for complex reasons, lead to the breakdown of encryption systems, such as those that protect your customers’ financial information.

The idea that AI in mathematics will surpass top human mathematical minds like Terence Tao may trouble academics, but business owners should be doing backflips at the idea that they can have a world-class mathematician on their team.

For business owners, leveraging the prodigious math skills of AI can already be put to use to enhance their operations.

How AI in Mathematics and Its Expertise Can Transform Your Business

Think of it this way: If AI can play a big role in solving some of the hardest problems in the fields of mathematics, then there really is no limit to what it can do with your business’ quantitative data.

At the core of AI in mathematics is the process of making predictions. This process goes as follows: Data, or the input, is given to the AI. The AI analyzes the data. Then, the AI formulates a prediction based on its analysis and offers this prediction, often called the output, to the user.

What makes AI worth the investment is that it can perform this process 24/7 without getting tired or making errors. Also, its level of performance will far outstrip human effort.

Think about the significant amount of data that relies on numbers, such as customer purchases or the prices of raw materials crucial for your operations.

You can provide these quantities to AI to make actionable predictions.

Such predictions may include possible customer or employee churn rates for the upcoming quarter, the best day to buy raw materials for your manufacturing process, and the like.

The Best AI Platform for Making Predictions

If you are looking for an AI platform that can consistently make predictions based off of prodigious amounts of quantitative data, then look no further than Findability Sciences, which is an IBM partner.

Their suite of AI prediction platforms are relevant to many industries, including manufacturing and healthcare.

For instance, if you operate a store, Findability Sciences’ prediction platforms analyze your company’s historical and ongoing data to discover the optimal amount of products you should stock your shelves with. This ensures that you never have an overstocked or understocked inventory.

That is just one example. If you want more, reach out to Guardian Owl Digital today to GO AI.