HomeBlogArtificial Intelligence4 Key Benefits of Machine Learning in Cloud: Everything You Need to Know

4 Key Benefits of Machine Learning in Cloud: Everything You Need to Know

Read it in 6 Mins

Last updated:
25th Sep, 2019
Views
1,500
In this article
View All
4 Key Benefits of Machine Learning in Cloud: Everything You Need to Know

For quite a long time now, machine learning has been out of reach for most enterprises. The hardcore machine learning that adds real value to the organization i.e. However, even as we are speaking, technology is advancing. And this advancement has trickled into the domain of machine learning as well to make it widely and properly available for a variety of enterprises. And if you examine the long-term effects, this is nothing less than disruption and revolution. But, how will businesses actually be affected? Let’s dig a little deeper into it today.

Top Machine Learning Courses & AI Courses Online

What is machine learning?

A quick recap for those who know and a quick intro for those who don’t.

Ads of upGrad blog

Machine learning is a subset/ part of the entire, vast field of artificial intelligence. It is concerned with the development of self-learning algorithms. These algorithms are trained through labeled or unlabeled data sets and examples, then employed to make predictions against new patterns of data.

As one can guess, machine learning was and is a huge leap in the realm of artificial intelligence. Instead of using static programs to make decisions, the data presented to the algorithm at that moment is used to make decisions. This is similar to how humans make decisions. Have an inkling of what you are looking for through past experiences (the ‘training data’ in case of the algorithm) and using that plus the data at the moment, arrive at a decision.

Although a lot of developments have been made, a lot of work is still left to be done. Scientists and researchers envisage a future where no human intervention and additional programming will be needed for the algorithm to arrive at an answer. 

Trending Machine Learning Skills

Join the Artificial Intelligence Course online from the World’s top Universities – Masters, Executive Post Graduate Programs, and Advanced Certificate Program in ML & AI to fast-track your career.

Challenges to the entry of machine learning capabilities

Here are the biggest ones:

  1. The specialized skill and expertise required which is in short supply and not easily available
  2. Deployment costs. The computational special-purpose hardware requirements add up to greater costs for development, infrastructure, and workforce.
  3. Even with open-source machine learning frameworks like CNTK, MXNet, and TensorFlow, run into problems when scaling up due to the requirement of more computers.

How machine learning in the cloud will revolutionize businesses

There are 4 major ways in which machine learning in the cloud will act as a boon for businesses. These are:

Cost efficiency

The cloud has a pay-per-use model. This eliminates the need for companies to invest in heavy working and expensive machine learning systems that they won’t be using always and every day. And for most of the enterprises, this is true since they use machine learning as a tool and not as the modus operandi. 

When AI or machine learning workloads would increase, the cloud’s pay-per-se model would come in handy and help companies cut down on costs. The power of GPUs can be leveraged without investing in cost-heavy equipment. Machine learning on the cloud enables cheap data storage, further adding to the cost-efficiency of this system.

No special expertise required

According to Tech Pro research, only 28% of companies have experience with AI or machine learning. Demand for machine learning is increasing and the future scope of machine learning is bright. 42% said that their IT team is not skilled enough to implement and support AI and machine learning. This suggests a crucial knowledge and expertise gap. But, the cloud helps in bridging it.

Using the cloud means that companies do not have to worry about having a data science proficient team. With Google Cloud Platform, Microsoft Azure, and AWS, artificial intelligence features can be implemented without requiring any deep or hardcore knowledge. The SDKs and APIs are already provided so machine learning functionalities can be directly embedded. 

Easy to scale up

If a company is experimenting with machine learning and its capabilities, it does not make sense to go full-on, full out in the first go only. Using machine learning on the cloud, enterprises can first test and deploy smaller projects on the cloud and then scale up as need and demand increases. The pay-per-use model further makes it easy to access more sophisticated capabilities without the need to bring in new advanced hardware.

How to be a part of this revolution

As businesses take to machine learning and the cloud together, they’ll be needing professionals who are fluent in operating both and can provide maximum value to the organization. Traditional university courses do not provide the curriculum in classrooms to ready eager students for it. But, at upGrad, we provide the best of both worlds- an online, easily accessible platform plus an integrated, classroom environment.

Ads of upGrad blog

Popular AI and ML Blogs & Free Courses

If you are interested to learn about cloud computing and Machine learning, upGrad in collaboration with IIIT- Bangalore, has launched the Master of Science in Machine Learning & AI. The course will equip you with the necessary skills for this role: maths, data wrangling, statistics, programming, cloud-related skills, as well as ready you for getting the job of your dreams.

If this feels like something you’d be interested in learning, then head to the course page now.

Profile
Prashant Kathuria is currently working as a Senior Data Scientist at upGrad. He describes himself as a data freak and others working with him will agree. Working in Data since more than 3 years in Product companies has taught him that data of today is gold of tomorrow. You will find him brainstoring about new things, or reading about upcoming technologies in his free time.
Get Free Consultation

Select Course
Select
By tapping submit, you agree to  UpGrad's Terms & Conditions

Our Popular Machine Learning Course

1What are the advantages of the cloud?
With almost all businesses moving to the cloud platform, it is obvious that there are several advantages that this technology has brought forth. Firstly, the cloud offers excellent scalability, which is especially crucial for rapidly expanding businesses. Moving infrastructure to the cloud also helps cut down IT expenses to a great extent. It also offers companies the flexibility and options to collaborate more efficiently and across boundaries; geographical constraints no longer matter. The greatest business advantage is perhaps having uninhibited and all-time access to data and resources from anywhere in the world, which ensures business continuity and prevents impacts on productivity.
2How does cloud computing impact our personal lives?
The uses of cloud technology are not only reserved for business and commerce. We also use cloud computing in our daily lives, most often unknowingly. For instance, the music and video streaming apps that you use every day are heavily dependent on cloud storage for providing you with uninterrupted service and an enriched musical experience. Next, the social media platforms also resort to the cloud platform to store your images, comments, videos, and other data. Your smartwatch and other wearable devices also use cloud technology. And if you are a keen online shopper, you must know that all your data and preferences are saved somewhere in the cloud; this helps online shopping apps offer you a personalized shopping experience.
3Which cloud computing platforms work best for machine learning?
Today, most businesses engaged in machine learning projects have resorted to shifting to the cloud platform. Some of the best cloud computing platforms for machine learning are Amazon Web Services, Google Cloud, Microsoft Azure, and IBM Cloud, among others. Employing different web services in the cloud designed for machine learning has helped them focus on core business competencies and ensure hassle-free management of machine learning infrastructure.

Suggested Blogs

What is an ROC Curve?
1501
Imagine taking a medical diagnostic test, and your report returns positive for a disease! You are going through immense emotional upheaval when the di
Read More

by Pavan Vadapalli

16 Mar 2023

What is Synthetic Data in AI? The Complete Guide
1502
Synthetic data is a form of data that creates real-world patterns using machine learning technologies. Synthetic data has been around us for a while,
Read More

by Pavan Vadapalli

14 Mar 2023

What is Mixed Reality All About?
1500
Mixed reality is becoming one of the most popularly used terms in the world of data science. The term mixed reality is used interchangeably with hybri
Read More

by Pavan Vadapalli

14 Mar 2023

Supervised vs Unsupervised Learning: Difference Between Supervised and Unsupervised Learning
1500
Introduction Machine Learning is broadly classified into three types, namely Supervised Learning, Unsupervised Learning, and Reinforcement Learning.
Read More

by Pavan Vadapalli

13 Mar 2023

Machine Learning Projects in Python
1500
Machine Learning is the technology of the future. It is a part of all the spheres of our life and has a great impact on us. With technology evolving a
Read More

by Pavan Vadapalli

02 Feb 2023

Time series analysis for machine learning
1509
A statistical technique that deals with time-series data is referred to as the time series analysis. It can be used to see how a given data changes ov
Read More

by Pavan Vadapalli

23 Jan 2023

7 Deep Learning Courses That Will Dominate In 2023
1501
With the growth of advanced technologies of Computer Science, more data is being generated. Meanwhile, the growth of the IT industry resulted in the h
Read More

by Anandita Singh

24 Oct 2022

2023, The Year of AutoML?
1500
AutoML, with its ability to perform data pre-processing, ETL tasks, and transformation, will likely become the most popular trend for the year 2023. W
Read More

by Sameer Balaganur

06 Oct 2022

Convolutional Neural Networks: Ultimate Guide for Beginners in 2023
1500
A quick Google search of “data science” will unambiguously reveal to anyone how popular the field has become in the last five years. Along with data s
Read More

by Kechit Goyal

05 Oct 2022