How Is Machine Learning Helping Companies Scale Up?

24 November6 min read
How Is Machine Learning Helping Companies Scale Up?

Machine Learning is the most important technology for the business. In the past decade, machine learning has been responsible for turning different data into most valuable assets for an organization. It is mandatory for any business interested in scaling in revenue and size. Well, the machine learning market is increasing rapidly worldwide. In 2021, it was $15.44 billion and is expected to grow by $209.91 billion by 2029 at a CAGR of 38.8%

Developing business solutions with machine learning (ML) applications using large datasets have become easier than before due to advancements in the computational cloud infrastructures and algorithms. Although looking at the data with a low-angle lens, it is clear that the company size can be affected dramatically based on the techniques to be implemented through ML, with focus on large business and automating it in every aspect.

The main question is then how ML helps in scaling the business operations. Let’s find out. But before that, take a look at the exact definition of machine learning.

What is machine learning?

Well, machine learning is a type of artificial intelligence (AI) which brings more accuracy to software applications like predicting outcomes without actually being programmed to do the same. In other words, it is a branch of AI that focuses on analyzing data to find the patterns, opportunities and problems before a human can. Just as importantly, the program should be “intelligent” enough in such a way that it allows it to learn from past information and interactions. That’s why there are multiple benefits of machine learning :

a) Prediction : With ML, you can analyze the historical data and give you a calculated solution..

b) Engaging the customers : ML can help in collecting the vast data records and analyzing it to make best decisions creating a regular interaction and engagement of your customers.

c) Allocation of tasks : ML introduces automation, thus analyzing big data sets to reduce manual tasks becomes easy and maximize productivity.

d) Problem solving ability : Machine learning helps solve complex problems in a short span of time which humans can take a lot to complete.

e)Increased efficiency : ML offers creating more data points which prevents errors and other liabilities and performing daily routines like monitoring, auditing, data recovery etc.

f) Managing and securing data : At times of security breach, machine learning can be used to make necessary decisions to neutralize it and prevent further from such attacks.

How can machine learning help in scaling your business?

Companies use machine learning to utilise huge amounts of data being collected to develop actionable predictions that executives can use to invest resources and boost their companies growth. The basic objective of machine learning is that engineers should be able to do more than just writing a program to carry out some specific task. Instead, they should be able to write an algorithm that can teach a computer how to write its own program. Since, it encourages automation so the easiness to scale your business is much more. Here are few points which will tell how machine learning helps your business grow :

1) Natural Language

One of the challenges that the tech industry faces is developing a program that understands the natural language. However, computer programs still have difficulty understanding natural language and machine learning is the growing tech that can change that. AI driven programs are capable of learning from past interactions so applications like activated voice assistants understand human speech and operate to provide accurate results. In addition, these personal assistants help employees save time throughout the day.

2) Advanced analytics

It is a term for examining the data, utilising sophisticated techniques for different insights, recommendations and accurate predictions. The data set is an active demonstration of how the priorities of large companies tend to use advanced analytics, allowing them to make data-driven decisions and providing consistently successful outcomes. This includes data mining, pattern recognition, sentiment analysis and big data processing.

3) Fraud detection and prevention

In the tech world, there is always an increase in fraud alerts and the fraud in financial institutions keeps evolving constantly. Your company can effectively protect the business and your customer data through fraud detection and certain prevention techniques without relying on manual process or individual work. The large data sets that come with increased company size will overwhelm a manual check system showing a rise in organisations turning to machine learning to fulfil this role in a way that meets both standards and demand of the company.

4) Manufacturing

Machine learning can actually help businesses save their money by streamlining inventory management, making production more efficient and predicting the equipment breakdown before it actually happens. It is predicted that machine learning can help business manufacturing reduce delivery by 30% and in achieving fuel saving through process optimization. These programs use machine learning to predict annual manufacturing peaks and to suggest process improvements. They also create money-saving maintenance schedules that help companies avoid unplanned shutdowns.

5) Customer services and chatbots

These services are less popular methods of machine learning. Chatbots use artificial intelligence and machine learning to answer basic customer questions quickly. Big scale companies rely more on AI based chatbot providing a sense of voice to the customers. They allow customers to ask simple questions 24/7 without requiring a customer service employee to step in, giving a line of communication for the customer that isn't a drain on company time or resources. Such services help in increasing the scalability of the company.

6) Forecasting

Use of powerful algorithms to improve customer engagement which will help in predicting the customer demand for different products and services with certain accuracy. Machine learning makes the work easy to predict your business production values and increase the scalability of your company.

7) Onboarding customers KYC

KYC includes identity verification of each and every new customer being onboarded and continuous monitoring of them afterwards to identify any changes in company structure, which can benefit the owners. By having services for customer onboarding added with machine learning techniques like product recommendation methods or integrated chatbots for completing the transaction, both small and large companies can turn visitors into repeat customers.

8) Improved Cybersecurity

Artificial intelligence with machine learning is capable of finding website security flaws, unauthorised logins and other warning threats that your business can be compromised by being at risk. Not only it will help you in creating an alert in real-time with cybersecurity, but also it can prevent brute force attacks, any credit card frauds and various other serious security risks before they actually happen. And a lot of these processes happen to be working in the background while you are increasing the company's scalability, giving you peace and time to work on important tasks.

Well, machine learning also creates opportunities to create deeper connections with customers due to its personalisation. It connects to your campaigns, softwares and other channels to discover new opportunities,  helping in saving your time and making the agency more productive.

Wrapping Up

Machine learning has been an important technology for a growing business. It has been helping various businesses increase in sales and their plans for the future. AI-driven software is already being used to increase efficiency and boost productivity in manufacturing and logistics industries. That is why companies have begun using machine learning and collaborating with Python web development companies to find experienced data scientists and build software that can promote company’s growth through technology. Also, developments in natural languages are expected to have impacts on consumer devices and businesses too since chatbots and personal assistants have helped them save time and increase the quality of work.