The Future Scope of Machine Learning: Top Use Cases

# 1 Job Development

The most common use case for performing tasks is in document management. Today, there are a lot of companies that use robotic process and computer vision companies like UIPath, Xtracta, ABBYY etc. that allow this. The future of machine learning will be bleak though.

There is an emerging ML technology that enables retailers to monitor body temperature and wear a mask using thermal imaging and high-tech vision for safe recovery from COVID-19 to normal.
Sensors and IoT technology help production operations to maximize overtime through a supply chain.
The renewable energy industry uses AI to reduce resource uncertainty.
# 2 Safe Health Care

We have been seeing significant growth in machine learning being used to predict and support COVID-19 strategies. The healthcare industry itself has long used ML for a variety of purposes, and we believe that future advances in machine learning will make using cases more complex.

Robots perform complex operations with precision.
ML programs read patient history, records, reports etc. to create treatment strategies tailored to you. IBM Watson Oncology is an important project in this space.
The wearable technology of disease prevention and health care for the elderly also makes great strides.
# 3 Fraud Prevention

Banks and other financial institutions are using machine-based crime detection technology to stop malfunction (although the 'I am not a robot' machine is not lost!).

Banks create machine learning algorithms based on historical data to predict fraudulent transactions.
Separation and retrieval methods are used to identify and filter emails of phishing scams.
Machine learning and computer viewing algorithms that check the identity of all key databases in real time to prevent identity theft.
These pattern matching methods are used to identify non-fraudulent documentation.
# 4 Customizing Mass

Marketing, social media and entertainment platforms use ML to provide customers with customized services and experiences.

Face filter uses algorithms based on image recognition and computer view to detect and (well, almost) accurately alter facial features.
E-commerce platforms and media use ML to offer a personalized experience, as well as offer freemium payment models.