Traditionally, a love for math used to be associated with someone you would call a 'nerd', however, technologically revelations have proven math to be a fundamental concept in the 21st century. In our data-driven world, companies and corporations are all using math, formulas and computations to ensure optimal efficiency. Without the use of math, there would no artificial intelligence (AI) and no computer science, we would be stuck in a world of slower and more mistake-prone business. Math, AI and automation provide solutions to time-consuming and complex problems where humans would be much less efficient in resolving. So what is the connection between math and AI?
How and where is Math used in Artificial Intelligence?
Some of the fundamental topics that math holds for machine learning are:
- Linear Algebra
- Iterative Methods
These areas of math each contain a multitude of further, and much needed, topics to fully understand machine learning. We may not realise, but every day we face examples of AI where math has contributed highly towards. From the most menial of examples such as sending certain emails to spam or, on the other end of the spectrum, self-driving cars, AI and machine learning is all around us.
The need for remedial math seems widespread enough that even a simple Google search for `calculus and artificial intelligence` turns up a bunch of blogs and additional courses on how to understand the math underlying these assignments. - Forbes, 2019
A few years ago, Apple`s Siri and Tesla`s self-driving cars were something unthinkable or impossible to have. Today, Machine Learning and Artificial Intelligence are unlocking capabilities everywhere around the world; businesses are learning to use new technologies to create intelligent products, personalised experiences, and smarter business functions. What are some examples of artificial intelligence in business?
The world is becoming faster, smarter, more complex and more efficient, and we owe a big part of this to artificial intelligence and machine learning capabilities, which all derives from math. Let`s have a look into the everyday AI applications that is commonplace for businesses:
- Spam filters,
- Personal Assistants (Siri/Cortana/Google),
- Automated online chat responses,
- Automated insights - used from collated data from a company
- Smart searches - according to an individual`s history
- Product recommendations,
- Fraud detection,
- Personalised news feeds,
- Language recognition,
- Ad targeting.
These are only a few applications of AI that we experience in our day-to-day routines. The evolution and application of math to AI has been an incredible phenomenon and it continues to enhance every day. So the main question is:
Are you using Machine Learning or Artificial Intelligence to add value to your business?
Here at Cedar Rose we have used both Machine Learning and Artificial Intelligence to help us process, translate, transliterate, organise, standardise and analyse large amounts of data. It is our love of mathematics, our close attention to detail and our drive to be the best that keep us ahead of the game.
Finally, for Nerds everywhere now is our time to shine!
Written By Angelique Assaf, Data Strategist
Sourced Image: Freepik
*** The sole purpose of the article above is to generate public discussion, it has no intention to constitute legal advice. ***