Data Science is growing at a staggering rate to fulfill the needs of the power-hungry Artificial Intelligence related technologies such as Machine Learning, Neural Networks, and Deep Learning. Due to these rapid changes, individuals and businesses may find it baffling to keep track of the numerous changes in the industry. As the industry gets flooded with newer trends and techniques, businesses may feel the need to understand and adopt these to optimize their data handling and analysis process.

Artificial intelligence is helping telecoms operators to boost the RAN capacity of their 4G networks by 15 percent. More people than ever are relying on telecoms networks to work, play, and stay connected during the pandemic. Operators are doing all they can to ensure their existing networks have enough capacity to cope with demand.8 out of 10 of the world’s largest operator groups have deployed traffic management technology from the Openwave subsidiary of Swedish firm Enea. Many of these have since upgraded to include machine learning capabilities. Openwave claims that, based on its figures, some operators faced a 90 percent surge in peak throughput during lockdowns. Machine learning is helping to predict and identify congestion in the RAN (Radio Access Network) which resides between user equipment such as wireless devices and an operator’s core network.

Three days ago, the team behind Python announced the release of Python 3.9.0a1, which is the first out of the six planned alpha releases of Python 3.9. The final stable version of Python 3.9 is slated to release in May 2020. An alpha release indicates that developers can start testing the new features and check for bug fixes but are not recommended to use it in production. Last month, the previous stable version, Python 3.8 was released with features like walrus operator, positional-only parameters support for Vectorcall.