Gartner predicts that by 2025, over half of the world’s population will be subject to at least one Internet of Behaviour (IoB) program. With the advent of Artificial Intelligence (AI) and Machine Learning (ML) models and applications, it is imperative for businesses to have a secure data analytics platform and the right tool for data storage and management.
In this article, industry experts Mr David Chan, Managing Director, AdNovum, and Mr Dejan Dukaric, Executive Director of Engineering, AdNovum share how your company can leverage data with AI and build a robust risk framework for your ML developments.
Companies can leverage on IoB to:
However, despite the advantages that IoB may bring to businesses, IoB can also create the risk of potential data breaches. Hence, it is crucial to learn how to identify, assess, and mitigate risks associated with machine learning.
There are three common types of attacks against ML systems:
To conclude, the decision to make your ML model public can make a huge impact to your company’s susceptibility towards attacks. Hence, it is important to consider whether your business model requires a public ML model. Regardless of whether your company uses a ML public model, it is essential to practise adequate ML governance to keep your systems well protected.
Organisations who are kickstarting or have other needs in your ML journey may contact AdNovum for a complimentary Data Maturity Assessment. You can reach out to:
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