Trends in Machine Learning in 2020

By Tanya Singh.

To many, Machine Learning may be a new word, but it was first coined by Arthur Samuel in 1952, and since then, the constant evolution of Machine Learning has made it the go-to technology for many sectors. Right from robotic process automation to technical expertise, Machine Learning technology is extensively used to make predictions and get valuable insight into business operations. It's considered as the subset of Artificial Intelligence (intelligence demonstrated by machines).

If we go by the books, Machine Learning can be defined as a scientific study of statistical models and complex algorithms that primarily rely on patterns and inference. The technology works independently of any explicit instruction, and that's its strength.

The impact of Machine Learning is quite engrossing, as it has captured the attention of many companies, irrespective of their industry type. In the name of the game, Machine Learning has truly transformed the fundamentals of industries for better.

The significance of Machine Learning can be caused by the fact that $28.5 billion was allocated in this technology during the first quarter of 2019, as reported by Statista.

Taking the relevance of Machine Learning into account, we have come up with trends that are going to make way into the market in 2020. The following are the much-anticipated Machine Learning trends that will alter the basis of industries across the globe.

 

1) Regulation of Digital Data

In today's world, data is everything. The emergence of various technologies has propelled the supplement of data. Be it the automotive industry or the manufacturing sector; data is generating at an unprecedented pace. But the question is, 'is all the data relevant?'

Well, to untangle this mystery, Machine Learning can be deployed, as it can sort any amount of data by setting up cloud solutions and data centers. It simply filters the data as per its significance and brings up the functional data, while leaving behind the scrap. This way, it saves time allows organizations to manage the expenditure, as well.

In 2020, an enormous amount of data will be produced, and industries will require Machine Learning to categorize the relevant data for better efficiency.

 

2) Machine Learning in Voice Assistance

According to the emarketer study in 2019, it was estimated that 111.8 million people in the US would use a voice assistant for various purposes. So it's quite evident that voice assistants are a considerable part of industries. Siri, Cortana, Google Assistant, and Amazon Alexa are some of the in-demand examples of intelligent personal assistants.

Machine Learning, coupled with Artificial Intelligence, aids in processing operations with the utmost accuracy. Therefore, Machine Learning is going to help industries to perform complicated and significant tasks effortlessly while enhancing productivity.

It's expected that in 2020, the growing areas of research & investment will mainly focus on churning out custom-designed Machine Learning voice assistance.

 

3) For Effective Marketing

Marketing is a vital factor for every business to survive in the prevailing cut-throat competition. It promotes the presence and visibility of business while driving the intended results. But with the existing multiple marketing platforms, it has become challenging even to prove the business existence.

However, if a business is successful enough to extract the patterns from the existing user data, then the business is very much expected to formulate successful and effective marketing strategies. And to analyze the data, Machine Learning can be deployed to mine data and evaluate research methods for more beneficial results.

Adoption of Machine Learning in defining effective marketing strategies is highly anticipated in the future course of time.

 

4) Advancement of Cyber Security

In recent times, cyberspace has become the talk of the town. As reported by Panda Security, about 230,000 malware samples are created every day by hackers, and the intention to create the malware is always crystal clear. And with the computers, networks, programs, and data centers, it becomes even more problematic to check the malware attacks.

Thankfully, we have Machine Learning technology that aids the multiple layers of protection by automating complex tasks and detecting cyber-attacks on its own. Not only this, but Machine Learning can also be extended to react to cybersecurity breaches and mitigate the damage. It automates responses to cyber-attacks without the need for human intervention.

Going forward, Machine Learning will be used in advanced cyber defense programs to contain and save damage.

 

Faster Computing Power

Industry analysts have started grasping the power of artificial neural networks, and that's because we all can foresee the algorithmic breakthroughs that will be required for aiding the problem-solving systems. Here, Artificial Intelligence and Machine Learning can address the complex issues that will require explorations and regulating decision-making capacity. And once all of it is deciphered, we can expect to experience ever-blazing computing power.

Enterprises like Intel, Hailo, and Nvidia have already geared up to empower the existing neural network processing via custom hardware chips and explainability of AI algorithms.

Once the businesses figure out the computing capability to run Machine Learning algorithms progressively, we can expect to witness more power centers, who can invest in crafting hardware for data sources along the edge.

 

The Endnote

Without reserve, we can say that Machine Learning is going big day by day, and in 2020, we will be experiencing added applications of this innovative technology. And why not? With Machine Learning, industries can forecast demands and make quick decisions while riding on advanced Machine Learning solutions. Managing complex tasks and maintaining accuracy is the key to business success, and Machine Learning is immaculate in doing the same.

All the trends, as mentioned above of Machine Learning, are quite practical and look promising in imparting unprecedented customer satisfaction. The dynamic dimensions of ever-growing industries further propel the relevance of Machine Learning trends.

 

Bio: Tanya Singh is a well-known content marketer who has more than five years of experience in emerging technologies like blockchain, Flutter, Internet of Things in the field of mobile application development. In all these years, she closely followed the tech industry and now she writes about the latest happenings taking place in the world of applications.

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