25. 5. 2021

Addressing Myths Associated with AI and ML Adoption

In this article, we will address some of the common myths that stand in the way of enterprise AI and Machine Learning adoption.

The massive uptake of Artificial Intelligence and Machine Learning by organizations across sectors is a clear indication of the value that it brings to businesses. From predicting the future and enabling pre-emptive measures to mitigate risks to providing data-based decisioning support, AI has changed the way organizations operate.

Most organizations today already have the data required for these solutions, but some of them have still shown reluctance in adopting AI and Machine Learning. Some of their concerns revolve around expected ROI and doubts about the value that can be generated by leveraging AI. Yet others have apprehensions about the technical capabilities or resources that will be needed for implementation. In this article, we look at some of the key myths and misconceptions that serve as roadblocks while organizations are evaluating the merit of AI/ML adoption.

Addressing Myths Associated with AI and ML Adoption

Debunking misconceptions that serve as roadblocks while organizations are evaluating the merit of AI/ML adoption