If one looks at recent developments globally, one would conclude that the future of machine learning is rather bright. We can see how one day this technology will be incorporated into all business models. Machine Learning solutions are designed to assist managers, mostly in making swift and precise calls on the go. These decisions would be made using the previous data that was accumulated by the company and entered into the software. This software would then guide you towards the smarter decision, without the intervention of top management.
At TechGeek365, we believe Machine Learning has shown the world that it can make these decisions even in the absence of perfect data. Given the growth of smart algorithms, Business Analytics will move beyond the traditional means of Descriptive and Predictive analysis. Even for complex projects like Mobile Advertising Campaigns.
As tech gets more and more advanced, they would gradually launch Prescriptive Analytics, which would provide preemptive analysis using your data. This is going to be launched as a must-have tool for today’s business leaders.
A consultation database would make it easier for machines to consult experts and record their answers to certain queries for later reference. Alternatively, this also opens doors to the possibility that there will be no use for Chief Executive Officers to get involved in floor affairs.
Machine Learning Use Cases
The use of AI and Machine Learning in business applications and analysis may be considered a recent development but it is predicted to grow further and have major implications on the business world. Two very prominent Machine Learning use cases are:
Machine Learning Best Practices
Despite offering endless possibilities, Machine Learning should be incorporated judiciously, since it cannot match the intuition and eclectic nature of thinking that comes naturally to human. Machines cannot understand context and emotions, as of now. This is why it is essential to ensure all the data being input has been made relevant for the computer.
The idea of using Machine Learning to assist mobile ad fraud detection and blocking is not uncommon. We have already mentioned how this tech is currently being employed by App Samurai. Besides this, Machine Learning is also assisting in providing advanced insights and optimizing campaigns for different mobile apps in the marketplace.