Achieve superior decision making with Machine Learning and AI
To leverage the power of big data telecoms must urgently start using Big Data and Machine Learning technologies to simplify and derive ‘usable’ (meaningful) information from new data points to achieve superior decision making that positively impacts revenues and customer satisfaction. Machine Learning opens new horizons for sets of information, creating models that can add a new dimension to decision-making. The iterative aspect of Machine Learning is particularly important because as models are exposed to new data, they can independently adapt. They learn from previous computations to produce reliable, repeatable decisions and results.
At present, Big Data is typically understood in the context of four characteristics; the four ‘Vs’:
- Volume: How much data is there
- Velocity: How fast data is processed
- Variety: The various types of data
- Veracity: accuracy of data
To these, a fifth characteristic can be added – Value.
However, it can be misleading and overly simplistic to do see telecom big data only this way. As a result, the CSP business manager today faces this question: At its current scale, should my organization be using Machine Learning and Big Data analytics to better understand and utilize our data repository? To learn how to assess the correct answer to this and more about the opportunities that AI and ML afford in the area of maximising the value of Big Data, download our datasheet by clicking the link above or click here to contact Evolving systems and schedule a conversation immediately.