What are the current issues, challenges and problems found in telecom industry? Can we find the solution of such problems using Machine Learning?

I think 5G technology needs to introduced. but its still under in development state:

Top 5 challenges in the telecommunication industry in 2019

Telcos have to decentralize the purchasing and decision power, both internally and externally, because of the essential agile reconfiguration of the cloud.

With the availability of new technologies, the variety and quality of services from telecom companies and internet service providers (ISP) are increasing, profit margins are decreasing, and the lines between telecom companies and technology vendors are blurring. Hence, telcos have to take a fresh look at the level of ICT innovation and adapt their organization to digital transformation by creating strong cross-functional interfaces and by seeking tools for maintaining organizational flexibility.

With millions of subscribers, a variety of new products, bundled and customized solutions, the operational support services like service configuration, order fulfillment, customer care, and billing are becoming increasingly complex. Hence, the cost of handling these operations require resources and different tools, thus, increasing the financial overhead.

Telecommunication providers need to upgrade their IT and connectivity infrastructure and focus on providing data and voice services that are high quality, reliable, and affordable. Security of the networks has become a major priority for the telcos and they are facing challenges with the emergence of new threats that are powered by new technologies. So, a number of operational and technical innovations are needed to meet customer expectations of complete system security from network till the device level. 5. One more challenge waiting in the wings for telcos and ISPs is the impact of Internet of Things (IoT) that is leading to explosive growth in the connected devices. This growth is generating billions and trillions of new data sources and thus, it is expected that this growth will push the data to be handled by networks to zettabytes per year

Sourav Sarkar

These 6 points are basically problems and solutions I think machine Learning can solve in telecom industry and other industry as well.

1)Manufacturing industry can use AI and ML to discover meaningful patterns in factory data.Predictive maintenance minimizes the risk of unexpected failures and reduces the amount of unnecessary preventive maintenance activities .

2) Due to large volume of data, quantitative nature and accurate historical data, machine learning can be used in financial analysis.

3)Using data mining and machine learning, an accurate prediction for individual marketing offers and incentives can be achieved.

4)Given a purchase history for a customer and a large inventory of products, ML models can identify those products in which that customer will be interested and likely to purchase. The algorithm identifies hidden pattern among items and focuses on grouping similar products into clusters.

5) Spam detection is the earliest problem solved by ML. In addition to spam detection, social media websites are using ML as a way to identify and filter abuse.

6) Inaccuracy and duplication of data are major business problems for an organization wanting to automate its processes. Machines learning (ML) algorithms and predictive modelling algorithms can significantly improve the situation.

Feedback defines the constitution of an organism?

Self-Organizing Superorganisms—as envisaged by Nenad Sestan (2018)?

Measuring the Intelligence of a Species?

How can i do multivariate Time Series forecast using MLP, ANFIS and LSTM?

The Curse of Evolution and Complexity?

Need help with my research project on open source SIEM and machine learning?

Swimming/space travel depends on the proprioceptive muscle spindles?

What are the limitations and challenges of using machine learning for predicting concrete compressive strength in practical applications?

Some new emerging problems on application of RL for scheduling in IoT networks?

How to Compress Information Neurally?