algorithms are used in recreate of value added chain by way of accuracy sped and automation to develop within software technical programming capacity to underlying knowledge base that correlation between algorithmic and artificial intelligence is determined by the complexity and degree of structuring the underlying task.
Marketing automation is solutions that allow the defining of rules for systematic automation of customer communication, its sometime difficult to solve more complex and less structured by way of predefined rules but the knowledge is based system can help.
Methods of artificial intelligence could be applied for more complex task, artificial intelligence system is developed for certain domain for deep learning algorithm that automatically predicts and profiles matching leads of big data from the internet.
This challenge here is necessary transfer performance between different systems could then proactively and dynamically develop and execute their own algorithms solution depending on the context.
The necessary autonomy and dynamics of algorithms is increasing with the decreasing degree of structure of the task and also applies to the business impact in the spirit of competitive relevance of the algorithm solution.