Recommendations by Artificial Intelligence vs Humans: Who will win? | Analytics Insight

Recommendations by Artificial Intelligence vs Humans: Who will win? | Analytics Insight

As the world becomes increasingly dependent on recommendations by Artificial intelligence (AI) instead of humans, it doesn’t mean threat to latter. Harvard Business Review calls it as word of machine effect.

While it comes down to people to decide which recommendation they will prefer, in reality, both have their plus points The usage of recommendation engines is growin in consumer services. Be it Spotify, Netflix, or Amazon; brands are leveraging artificial intelligence-based recommendation systems to provide more personalized services and enhance user experience. Apps like Google Maps and UBER also rely on AI to provide accurate directions and estimated travel time, respectively. So, it is obvious that many of us depend on AI to make numerous daily life decisions. However, will artificial intelligence-based recommendations pass the litmus test when fared against human recommendations, against the backdrop of concerns against it? A person or machine makes a recommendation after learning their preferences. Basically, after filtering through varied information, suggestions are made by tailoring data to users’ interests, preferences, or behavioral history on an item.

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