AI can spot anomalies during auditing much faster than humans can
Anomaly detection using AI is a powerful and efficient way of spotting anything unusual in any process, data or system - it's easy to do using an Artificial Neural Network such as eldr.ai, it's fast and it's accurate.
Should you be concerned about bias and discrimination in AI?
With AI use and discussion growing rapidly, ethics has been increasingly brought up as a genuine concern in some cases such as Human Resources (HR) - or any scenario where AI is taking over the decision process when selecting or judging human beings. One major talking point is bias and/or discrimination that might be present in AI systems e.g. when selecting a candidate for a new role does AI automatically disregard candidates with a certain education or background? Here I will discuss where this bias comes from and why it isn't AI that we should be concerned with.
AI Recommendation Engines are powerful and common uses of AI. They are able to learn from all customer data and work out accurately what products particular customers may be interested in based on the behaviour and demographic of other customers. How a real AI Recommendation Engine/ Recommendation System (Recsys) works is different to how you might think - if you're used to traditional software techniques. It uses some sophisticated maths that are actually interesting, using three dimensional mappings as opposed to tonnes of database calls and bog standard code. Here I discuss how it all works.
You are one step closer to getting Artificial Intelligence into your organisation
Fennaio has the expertise
to get you up and running with AI, Machine Learning, Deep Learning and Data Science in your new or existing systems, software and operations.
0 Comments