Machine learning is a trending tech skill in 2020 that is being applied across many industries. It allows machines to learn from large datasets to identify patterns and make logical predictions without being explicitly programmed. Around 73% of jobs will be automated by 2030, but machine learning can help working professionals stay valuable by getting trained in this important skill. It is being used in industries like travel to improve customer experience, logistics to optimize operations, and retail to enhance inventory management and recommendations. Machine learning's widespread use is fueling rapid growth in the global market, with the Indian economy also being impacted. It is shaping employment and computer science careers like machine learning scientist are highly paid.

1. Machine Learning — A Trending Tech Skill in
2020
- Global Knowledge Technologies

2. While human being is the creator of technology, today almost no one can imagine their life without
technology. That’s how profoundly technology is controlling its creator now. Mankind is literally at the
cusp of rapid technological advancement.
Around 73% of all cubicle-related jobs will be automated by 2030 which is equivalent to over 20
million jobs. (infographic)
On the brighter side, this is also true that only humans hold the power of thinking and creating.
Keeping pace with the technological advancements and getting versed in trending technology shall
unequivocally let the working class stay valuable in the global technology job market. Tech enthusiasts
today, to confront the changing technology ecosystem are increasingly showing interest in taking up
top IT Courses and get trained in top technical skills. And when we talk about tech skills,
mentioning Machine learning certainly becomes imperative.

3. Machine Learning — A Trending Tech Skill
in 2020

4. What is Machine Learning?
Google the meaning of Machine Learning, and you will end up finding countless definitions in
technical language. In layman’s term, Machine Learning which was coined by Arthur Samuel
back in 1959, is a subset of Artificial Intelligence that deals with allowing the machine to
comprehend and learn huge data themselves through examples and experiences. In ML,
extraction of patterns from large data sets is made quite easy, thus enabling develop significant
logic based on the given data.
“Machine intelligence is the last invention that humanity will ever need to make.”
-Nick Bostrom, Professor, University of Oxford

5. Machine Learning Applications:
The application of Machine Learning is transforming almost every industry today where
businesses are using ML for capitalizing its data to gain meaningful insights, intensifying sales,
improving the relationship with customers, just to name a few.

6. Machine Learning in Travel Industry:
Travel is one of the industries which require maintaining a high customer satisfaction rate for
better business outcomes. To improvise the overall customer experience, over the years travel
industry has been applying machine learning in the form of developing smarter intelligent travel
assistants, AI-based personalization to boost customer loyalty programs, prepare tailored offers
for customers and many more.
To summarize, Machine Learning is exceptionally enabling travel marketing analytics to become
way more predictive. The impact of ML is such that, around 97% of the industry experts
admitted they believe the digital marketing future will involve human marketers working with
machine learning-powered automation.

7. Machine Learning in Logistics Industry
In the time when most of the useful activities are being performed ‘online’- from shopping
clothes to vegetables and likewise, logistics plays a great role in delivering and picking goods
from one place to another. Thus to address the fast-evolving demands of the customers, the
logistic industry is putting ample effort into adapting to technologies like ML and AI for
enriching real-time decision making on issues like inventories, carriers, availability and costs , to
keeping track of warehouse locations.
Forbes insights research found out 65% of senior transportation-focused executives agree that
the evolution of AI, ML and, related technologies can bring significant revolution in the logistics,
supply chain and transportation processes.

8. Machine Learning in Retail Industry
Retail businesses across the world are leveraging the potentialities of Machine Learning and it is poised to
disrupt the retail industry in many ways. One primary zone where ML is contributing is in the materializing
theory of smart automation in inventory management and supply chain.
For instance, a retail king like Amazon has access to a myriad of customer data and applying ML to that
data, they can predict demand for particular products, provide customized recommendations and so on.
Owing to that, it came to light — Amazon’s 35 percent of sales come from machine learning-driven
product recommendations that are tailored to each shopper.

9. IBM Machine Learning
Watson Studio — IBM’s enterprise platform for harnessing the potentialities of AI, enables
enterprises to scale and simplify data science to accelerate their business results. Watson Studio
owing to IBM Watson Machine Learning has gained a noticeable recognition worldwide as a
top-notch data science and machine learning platform. IBM Watson Machine Learning allows
building analytical models and neural networks by offering a range of tools and services
enabling to build, train, and deploy ML models.
Global Knowledge Technologies being one of the 5 Global training providers of IBM delivers a
wide range of IBM training programs, letting the professionals earn essential skill sets and
acclaimed Certifications that help in heightening the value of their resumes.

10. Machine Learning Market
By now, you might have already understood the extensive utilization of Machine Learning by
varied industries which raises the value and growth of ML both globally and nationally.
AI and ML have the potential to generate an additional $2.6T in value by 2020 in Marketing and
Sales and up to $2T in manufacturing and supply chain planning.
Zion Market Research’s 2018 July report revealed that the ML global market was valued at USD
1.58 billion in 2017 and is all set to account for USD 20.83 billion in spending by 2024 with a
44.06% compound annual growth rate.
Kris Gopalakrishnan, Co-founder of Axilor Ventures and former Executive Vice Chairman of
Infosys, recently claimed that emerging technologies such as AI and ML would impact the Indian
economy like the $177 IT services sector.

11. Machine Learning Career Highlights
Comprehending the increasing need for ML skilled professionals, it will not be wrong to say
that Machine Learning is undeniably going to shape the employment scenario globally.
As of November 2019 Glassdoor survey on salaries, the average salary for a Machine Learning
Scientist is INR 42,16,786 in India.
Python has been found as the most popular language for data science practitioners in
the Analytics India Magazine 2019 survey, where 75 percent of respondents said that Python is
a demanding career path among job seekers.
Get yourself prepared for upcoming challenges and opportunities coming your way in the
professional front with adding Machine Learning Certifications, which will make sure that you
are in tune with the future demand of the job market.

12. Thank you!