Article

Ronald van Loon
Ronald van Loon 20 June 2017

Trends Shaping Machine Learning in 2017

Technologies in the field of data science are progressing at an exponential rate. The introduction of Machine Learning has revolutionized the world of data science by enabling computers to classify and comprehend large data sets. Another important innovation which has changed the paradigm of the world of the tech world is Artificial Intelligence (AI).

Technologies in the field of data science are progressing at an exponential rate. The introduction of Machine Learning has revolutionized the world of data science by enabling computers to classify and comprehend large data sets. Another important innovation which has changed the paradigm of the world of the tech world is Artificial Intelligence (AI). The two technological concepts, Machine Learning and Artificial Intelligence, are often used as interchangeable terms. However, it is important to understand that both technologies supplement each other and are essentially different in terms of their core functions.

It is often predicted by technology enthusiasts and social scientists that human beings in the workforce will soon be replaced by self-learning robots. It is yet to be seen whether there lies any truth in these predictions or not but for 2017, the following trends have been prominent in the development of Machine Learning.

Giant companies will develop Machine Learning based Artificial Intelligence systems

In 2016, we saw many prominent developments in the domain of Machine Learning, and numerous artificial intelligence applications found a way to our phone screens and caught our attention. In the previous year, companies just touched the tip of the iceberg and in 2017, we will continue to see more developments in the field of machine learning. Big names such as Amazon, Google, Facebook and IBM are already fighting a development war. Google and Amazon launched successful apps, which include Amazon Echo and Google Home, at the beginning of the year, and we have yet to see what these tech giants have in stores for their customers. 

Algorithm Economy will be on the Rise

Businesses greatly value data to take the appropriate actions, whether it is to understand the consumer demand or comprehend a company’s financial standing. However, it is not the data alone they should value because without an appropriate algorithm, that data is worth nothing. Peter Sondergaard, Senior Vice President of Gartner Research, says that, “Data is inherently dumb and the real value lies in the algorithms which deduce meaningful results from a cluster of meaningless data".

Algorithm Economy has taken center stage for the past couple of years, and the trend is expected to follow as we expect to see further developments in machine learning tools. The use of algorithm economy will distinguish small players from the market dominators in 2017. Small businesses that have just entered the transitional phase of embedding machine learning processes in their business models will be using canned algorithms in tools such as BI, CRM and predictive analysis. On the contrary, large enterprises will use proprietary ML algorithms.

Expect more Interaction between Machine and Humans

Google Home and Amazon Echo received an exceedingly positive response from the audience which made it evident that consumers perceive human-machine interaction positively. Innovative technologies embedded with machine learning processes prove to be helpful under various circumstances; for example, helping people with eyesight issues to navigate. But will they completely replace human-human interaction? Maybe 25 years down the road, but we do not see that happening anytime soon. Machine learning has made it increasingly possible for machines to learn new skills, such as to sort, analyze and comprehend. But nevertheless, there are certain limitations to it. Automated cars have frequently been tested, and even with modified algorithms and advanced technologies, the chance of an error is still present. This example alone is enough to convince that machines will not completely replace humans, at least not anytime soon. 

Conclusion

Machine learning and Artificial Intelligence is a promising field with much potential for growth. We have seen some recent developments in the sector which, not long ago, people believed were not possible. Therefore, we cannot give a definite verdict regarding the industry’s potential for growth. However for now, intelligent machines are only capable of handling the repetitive tasks and can follow a predetermined pattern. It lacks the skill to figure out things which are out of the ordinary, and we still require human intervention for keeping the chaos at bay in such situations.

This article was originally posted on SimpliLearn.

Ronald van Loon is Advisory Board Member and Big Data & Analytics course advisor for Simplilearn.

Please login or register to add a comment.

Contribute Now!

Loving our articles? Do you have an insightful post that you want to shout about? Well, you've come to the right place! We are always looking for fresh Doughnuts to be a part of our community.

Popular Articles

See all
Digital Marketing Vs. Traditional Marketing: Which One Is Better?

Digital Marketing Vs. Traditional Marketing: Which One Is Better?

What's the difference between digital marketing and traditional marketing, and why does it matter? The answers may surprise you.

Julie Cave
Julie Cave 14 July 2016
Read more
4 Important Digital Marketing Channels You Should Know About

4 Important Digital Marketing Channels You Should Know About

It goes without saying that a company can't do without digital marketing in today's world.

Digital Doughnut Contributor
Digital Doughnut Contributor 5 November 2014
Read more
Are virtual reality and augmented reality the next step for CMS?

Are virtual reality and augmented reality the next step for CMS?

In a fitting conclusion to a year many hailed as the “year of virtual reality” (VR), in December 2016, WordPress made it possible for users to create and publish VR content on any WordPress site. The change meant that users could publish 360-degree photos on their sites, and regular photos and panoramas could be viewed in VR.

Leonie Mercedes
Leonie Mercedes 16 October 2017
Read more
Collection Of The Best Email Testing Tools Online

Collection Of The Best Email Testing Tools Online

Don’t be afraid of email testing. There are many free or freemium tools online that can help you with testing your SPAM score, deliverability and even the rendering of your email. We feature 30 email testing tools in this article. Check out the complete list!

Roland Pokornyik
Roland Pokornyik 31 October 2016
Read more
Smash your customer acquisition targets with these AB tests

Smash your customer acquisition targets with these AB tests

Don't second guess what will work best to drive new customer acquisition via referral. Plan a program of AB tests to maximise results and you could benefit from a 5-7x improvement in results!

Angela Southall
Angela Southall 17 October 2017
Read more