The future of Machine Learning

Machines have been evolving over time. The focus has shifted from using machines to perform human tasks to developing machines that think and perform a task on their own without human interference. Machines are now programmed to think and act like humans. This has made terms like artificial intelligence (AI) and machine learning become frequent words across numerous industries. This article will expose readers to what Artificial intelligence entails, what machine learning is and how they can be used in various fields of life including medicine, agriculture, technology, and business. This article intends to also enlighten and expose likely future development of machine learning.

Having had a glance at what we should expect in the near future, it is important to highlight some key concepts that would be discussed in this article:

  1. What is machine learning?
  2. Future of machine learning
  3. Predictions and future of machine learning in businesses

What is Machine Learning?

Machine learning is a subset of AI. Machine learning is powered by the idea that machines would be more efficient if they can learn without human effort, as opposed to human showing the machine everything with prepared algorithms.

The Internet made Machine learning more practical, which implies that a huge amount of data can be stored to an extreme degree that humans cannot process alone. Therefore, machine learning enables enormous amounts of information to be examined precisely and rapidly without a human hand managing the procedure.

Machine Learning in business

Machine learning has become an integral part of marketing. Its use has helped to make predictions of human behavior. In the near future, algorithms would be more refined and machine predictions would be more accurate. Machines would be able to discern who is more likely to make a purchase and when, and what is the item they are looking for. Static data rules will not be sufficient for marketers as machine learning would provide deeper insights in real-time. These future predictions are not far from now. Moreover, machine learning would help marketers to optimize campaigns and maximize companies or clients’ investment.

Machine learning would power modern marketing experience across various platforms. It will help determine customers’ behavior from a larger volume of data rather than relying on a small focus group to make a conclusion on customers’ behavior.

Predictions and future of Machine Learning in businesses

There have been various predictions of Machine learning across various sectors. For instance, ML has been affirmed to permit marketers to ultimately do what they have been doing in a better way. A lot of heavy lifting would be removed and machine learning will provide the best insights to allow marketers to tailor their initiatives. Zachary King, therefore, asserts that “just like builders will soon leverage robots to help them build houses, for marketers, machine learning is a tool for a more efficient, effective marketing process”.

Agriculture will also be influenced by machine-learning algorithms. In research carried out by MIT's Media Lab, it was discovered that with a machine learning algorithm, botany, and chemistry, plants will taste better. Reports from MIT’s Media Lab posits that several tasty plants have already been produced. They are more delicious and without genetic modification. With the help of machine learning algorithms, plants have been exposed to 24 hours’ light and the output was that such plants had the best flavor. Such a scenario could not have been made possible without ML. In the near future, with more machines in place, plants might not even be allowed to grow under the normal condition anymore. The plants of the future would grow under the retrofitted environment. Lights, temperature, and humidity will be carefully controlled for better results.

According to Anne Trafton (2019), the experiment conducted had all of the information fed into machine learning algorithms that were developed by the MIT and Cognizant (formerly Sentient Technologies). The algorithms assess and validate millions of possible combinations of UV duration and light, and also generated sets of conditions that allow maximization of flavor, together with the 24-hour daylight regime.

Researchers have also constructed small “personal food computers” — boxes that permit researchers to control conditions in which a plant is grown and send data back to the MIT team. This novelty has already been used in 65 countries around the globe.

Another promising innovation is the synergy of ML and blockchain. Blockchain technology has evolved and it is applied to several areas beyond the financial transaction. It is a simple yet ingenious way of passing information from one medium to another in an automated and safer manner. The blockchain makes transaction free and can replace models that charge fees per transaction.

The blockchain is designed to uniquely simplify and accelerate transactions. Blockchain permits any kind of asset to be transacted using a decentralized system. Machine learning will enhance blockchain as software would be able to identify and rectify errors without human input. For instance, the ability to stop spam using its own algorithm through the prediction of data. Machine learning could be used to identify fraudulent activities and also block them.

Ultimately, machine learning is expected to contribute greatly to various fields of human enterprise. It’s about to increase computational power, decrease computing costs and improve data integrity.