Logo Logo
  • Home
  • About Company
  • Services
  • Blog
  • Contact

Contact Info

  • Email support@onpassive.digital
  • Office Hours Sat - Wed : 8:00 - 4:00

  • About Us
  • Blog
  • Contact Us
  • Home
  • Our Services

Connect With Us

Real-Time Applications Of Data Science And Machine Learning

  • Home
  • Blog Details
machine learning
June 14 2022
  • Data Analysis

Data science and machine learning applications are working effectively to generate quick and quality results relative to what humans can perform.

Here are some of the top data science applications 

1. Fraud detection 

Data science applications have their roots in the financial domain. Threats, debts, and losses are the significant challenges experienced by any financial organization. Enormous data is built on day-to-day operations during loan sanctions. Data scientists have acted as the saviors to protect the organizations from incurring losses. 

With time, banking organizations have gained the potential to work with data efficiently through customer profiling and other significant elements to assess the chances of risk. Importantly, they understood customers’ purchase patterns before putting forward the banking products.

2. Healthcare 

The health care sector can benefit from data science applications. For instance, they can detect the tumor at an early stage. Also, the new tools and technologies have enabled doctors to check patients’ health from a remote location.

The data science and machine learning applications have created wearable intelligent devices that can notify doctors about the patients’ health. Various apps also support the doctors through updates and notifications. With this help, doctors can visit the patient’s home for a checkup. Smart devices also act to diagnose patients’ heartbeat, body temperature, blood pressure, etc., to act promptly.

3. Medicines development 

Discovering a drug is a highly complex process. Multiple stages of testing, heavy finance, and time are invested in developing an authorized medicine. The data science and machine learning applications act to shorten the process from initial analysis to predicting success rate. The algorithms use simulations and maths models to predict how it works on the human system instead of performing lab analysis.

4. Search results

What drives the search engines to perform super fast search results. Not just google, the other prominent search engine channels such as Yahoo, Bing, Ask, etc., use the data science algorithms to deliver results in a fraction of seconds. 

5. Advertising 

You must be overwhelmed by search engines’ performance driven by data science. Much beyond, the effective targeted ads result from the data science algorithms. Hence, these ads experience more clicks as they are shown based on the users’ past actions. For one, you see the apparel ads. For another, you will find data science workshop details.

6. Traffic alerts 

Google maps are the most used app for traveling to distant or unknown places. The app suggests the routes have less traffic. How is it able to do it? It studies the previous traffic information. Also, it considers the location, the route, and the speed of the user as the inputs to predict the upcoming traffic and suggest the route accordingly. 

7. Transportation 

The commutation apps such as Uber use machine learning technology. The app provides you with a personalized application that identifies your location automatically. Also, it suggests options travel to your home or office or the other places you usually visit, depending on your history. 

8. Virtual personal assistants

Virtual personal assistants help find helpful information either through text or voice. The significant applications of machine learning include Natural Language Processing, Text to Speech Conversion, Speech to Text conversion, and Speech Recognition. 

Just ask the virtual personal assistants about the nearest shopping malls having a specific product. The machine learning system goes through a wide variety of data to give out information most apt for you. Virtual personal assistants are already a part of various online training websites, chatbots, commuting apps, and food ordering apps.

9. Social media 

Machine learning algorithms suggest friends tagging automatically. Facebook uses image recognition based on the DeepFace to find the person matching in the database and suggests tagging that person.

Conclusion:

These advantages suggest how important AI is in real-time life. ONPASSIVE, an AI-powered organization, has some innovative AI products to make business operations economical and quick. Optimal usage of them generates the best benefits. 

ONPASSIVE
ONPASSIVE

We at Onpassive Digital are work towards making Data Analytics and Big Data available to all the businesses and help them in achieving their maximum reach and realizing goals.

Post Views: 340
Previous Post Next Post
Data AnalyticsData Sciencedata scientistMachine Learning

Leave a Comment Cancel reply

Recent Posts

  • What is the Importance of Data Preparation in Machine Learning?
  • Steps To Build Customer Loyalty
  • Data Science and Social Visibility: An Emerging Tech Revolution
  • Designing a multi-cloud strategy for your digital transformation
  • Understanding the Benefits of Edge Computing for Businesses
ONPASSIVE Digital

We at Onpassive Digital are work towards making Data Analytics and Big Data available to all the businesses and help them in achieving their maximum reach and realizing goals.

Usefull Links

  • Home
  • About Company
  • Services
  • Blog
  • Contact

Recent Blogs

  • Importance of Big Data Technology and Big Data Analytics for Business
  • Repeated of endeavor mr position kindness.
  • The Importance of SaaS Application Security for Businesses

Contact Info

7380 W Sand Lake Rd, Suite 500-529 Orlando, FL 32819

  • Email: support@onpassive.digital
  • Contact:

@ Copyright 2021-2028. ONPASSIVE

  • Home
  • About Company
  • Services
  • Blog
  • Contact