Machine Learning Read more at analyticsinsight.net
seems to be one of the best technological advancements. It is also said to aid when it comes to the mobile technology. There has been an incredible improvement in mobile machine learning.
The following areas will help you to better understand how machine learning supports in the improvement of mobile applications :
- BETTER VOICE SERVICES AND DECREASE IN CHURN RATE
Machine learning will undoubtedly let you better voice services and also help to minimize the churn rate. There are organisation who either team up with pioneers in voice services or either they build up their own solutions.
- SMART HOME SERVICES
New income producing services can be developed with the help of mobile services. The demand for smart home services is likely to increase over the years to come.
- IMPROVED SECURITY
The absence of server or cloud involved while processing will decrease the chances of cyber criminals to make any misuse. As compared to blockchains, on-device ML too focus on offering decentralization. With the upcoming AI-powered hardware cell phone experiences will become more secured for users.
- PREDICTIVE MAINTENANCE
The main tool for predictive maintenance is said to be mobile towers. Mobile towers are difficult to access. Machine learning seems to play a major role in the maintenance of mobile towers.
- LOWER COSTS
With the help of on-device MLI you can save your penny as you won't have to pay to external suppliers for keeping up the solutions. Two of the costliest cloud services are the GPU's and AI-explicit chips. In order to avoid paying for these,you need to run models on-device since cell phones nowadays have complex Neural Processing Units.