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5 Applications of Machine Learning in Business

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Machine learning is a form of artificial intelligence. It allows systems to learn and improve from experience without the need for explicit programming. This process also automates analytical model building. From financial services to healthcare, it can deliver a plethora of benefits, such as reduced cost and improved efficiency. Across several industries, it has a wide array of applications, including those we’ll be talking about below.

Before we start, if you want to learn more about how to successfully integrate machine learning in business, consider studying online! With a machine learning course, you will know how to make the most out of such technology to improve business processes.

1. Dynamic Pricing

Also known as demand pricing, dynamic pricing uses real-time supply and demand to dictate price. The actions of a customer, such as engaging with a marketing campaign, will also provide the basis for pricing. It requires processing massive amounts of information, and this is one area where machine learning can be helpful. It mines data without programming. This will use advanced software that learns more as it is fed with more information.

2. Spam Detection

In the past, emails were filtered using a rule-based system. It relies on built-in knowledge. Machine learning offers a more sophisticated alternative. It does not need direct programming to mine data and makes sense of available information. It uses brain-like neural networks, which will be more intelligent in filtering spams. It recognizes junk mail and phishing messages to make a business less vulnerable to data breaches.

3. Fraud Detection

Beyond spams, machine learning also has a significant role in improving cybersecurity by detecting fraud. It can understand patterns in an instant, making it quick to spot potential anomalies. This explains why the finance sector is one of the biggest users of machine learning today. An example of its application would be in credit card usage. Machine learning stores data about usage, such as location. So, when it detects that a card is used in another country, it can automatically flag a transaction to prevent fraudulent activity.

4. Churn Modeling

From credit card companies to cable service providers, customer churn is one of the most important concepts to understand. It is the percentage of customers that stopped using a product or service within a period. Churn modeling aims to understand customer behaviors and will motivate businesses to elevate their strategies to improve customer retention. Machine learning uses data like demographics and sales for churn modeling.

5. Customer Segmentation

Separating customers into distinct groups requires a data-intensive approach and not just relying on intuition. With the help of machine learning, it is easier to cluster and classify your customers depending on factors like demographics or buyer personas. This will make it easier to understand the feelings, needs, motivations, and characteristics of customers, which will be crucial in creating more effective marketing campaigns, as well as products and services.

From dynamic pricing to customer segmentation, machine learning has a wide array of business applications. Regardless of the size and nature of your business, it can make processes more intelligent and efficient!

The idea of Bigtime Daily landed this engineer cum journalist from a multi-national company to the digital avenue. Matthew brought life to this idea and rendered all that was necessary to create an interactive and attractive platform for the readers. Apart from managing the platform, he also contributes his expertise in business niche.

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Business

VPNRanks Report Uncovers User Discontent with Majority of VPN Services

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A groundbreaking report by VPNRanks reveals significant user dissatisfaction with the majority of VPN services, showing that 89% of VPNs globally fail to meet user satisfaction standards. This revelation comes at a critical time when digital security is paramount, and the demand for reliable VPN services continues to rise.

The Importance of User Satisfaction in the VPN industry

According to industry statistics from Global Market Insights, the global VPN market size was valued at USD 45 billion in 2022 and is estimated to grow at a compound annual growth rate (CAGR) of around 20% from 2023 to 2032. Driven by the growing instances of cybercrimes and data thefts, coupled with the increasing proliferation of wireless devices and digital infrastructures across industries, user satisfaction remains a critical challenge for many providers. High user satisfaction is essential for customer retention, brand reputation, and long-term success in the competitive VPN market.

“User satisfaction is the cornerstone of success in the VPN industry. In a market flooded with options, it’s the real user experiences that set the leading providers apart. VPNScore helps users navigate this complex landscape by highlighting services that excel in meeting user expectations,” said Muhammad Saleem Ahrar, COO of webAffinity, the team behind VPNRanks.

VPNRanks is a leading VPN review platform that leverages sentiment analysis to provide comprehensive and unbiased reviews of VPN services. Its VPNScore is based on an AI-driven analysis of publicly available user reviews. The platform aims to simplify the process of identifying the best VPN provider tailored to each user’s unique needs.

VPNRanks Untangles Complex Findings on Key Features

VPNRanks evaluated four key features — ease of use, ease of setup, ability to meet user requirements, and quality of support — to identify the VPN companies that excel at customer satisfaction. To determine a final rank for each metric, VPNRanks combined a popularity score, which contributed 20 percent of the total, with a satisfaction score, which contributed 80 percent.

The study sifted through reviews on 93 paid VPN companies to determine the top providers. The VPNRanks report, issued in June 2024, provides rankings for each key feature and overall customer satisfaction. ExpressVPN achieved the top VPNScore — 6.29 out of 10 — for overall satisfaction globally. The next four top companies in that category, listed in descending order, are PureVPN, NordVPN, PrivateVPN, and Surfshark.

By assessing a variety of categories, the VPNRanks study reveals the challenges users face when trying to identify the best option to meet their needs. For example, NordVPN received a nearly perfect popularity score of 9.46 out of 10 but only a 4.7 satisfaction score. PrivateVPN received a satisfaction score of 6.69 out of 10, which rivaled ExpressVPN’s score in that category, but received a popularity score of only 1.23 out of 10.

The global rankings for ease of use illustrate how challenging identifying a quality provider can be. VeePN received a very high satisfaction score of 7.18 out of 10 while receiving a popularity score of less than 1 out of 10. The findings reveal a gap between user experience and market penetration that can effectively keep the best option hidden from the consumer.

The VPNRanks report gives users insight into satisfaction and popularity while providing a balanced assessment via its VPNScore. “Users should choose based on their priorities, whether it’s user satisfaction, market presence, or a balanced option,” the report states.

VPNRanks Shows Providers How to Become More Competitive

In addition to serving as a guide for consumers, VPNRanks also maps out a pathway for VPN providers seeking greater market share. The VPN providers that consistently appear in the top spots on the VPNRanks charts are those that have achieved a balance between popularity and user satisfaction. Those who neglect one or the other cannot keep pace with market leaders.

The report explains that those with high satisfaction scores but low popularity “might be well-loved by their users but need to increase their market visibility to compete more effectively.” Achieving overall success in the VPN market requires balancing user satisfaction with market presence, it advises.

Conclusion

As the need for VPN services continues to grow, businesses can expect to see more providers enter the market, making the task of identifying the best option more difficult. The insights VPNRanks provides stand as a timely beacon, guiding users to providers who can satisfy their needs and support their operations.

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