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Differences Between AI and Machine Learning and Why it Matters

#artificialintelligence

This past week, while exploring the most recent press on artificial intelligence, I stumbled upon an organization that professed to utilize "AI and machine learning" to gather and examine thousands of users' data to enhance the user experience in versatile mobile applications. Around the same time, I read about another organization that anticipated customer behavior using "a blend of machine learning and AI" along "AI-powered forecasting analytics." There is a lot of confusion between machine learning and AI. Based on some articles that I have been reading, a lot of people still refer to AI and machine learning as equivalent words and utilize them reciprocally, while other utilize them as discrete, parallel advancements. However, in many cases the general population talking and expounding on the innovation do not realize the contrast between AI and ML.


Why the difference between AI and machine learning matters

#artificialintelligence

This article is part of Demystifying AI, a series of posts that (try) to disambiguate the jargon and myths surrounding AI. A while ago, while browsing through the latest AI news, I stumbled upon a company that claimed to use "machine learning and advanced artificial intelligence" to collect and analyze hundreds of data touch points to improve user experience in mobile apps. On the same day, I read about another company that predicted customer behavior using "a combination of machine learning and AI" and "AI-powered predictive analytics." Some people refer to AI and machine learning as synonyms and use them interchangeably, while other use them as separate, parallel technologies. In many cases, the people speaking and writing about the technology don't know the difference between AI and ML.


The difference between AI and machine learning, explained

#artificialintelligence

A while ago, while browsing through the latest AI news, I stumbled upon a company that claimed to use "machine learning and advanced artificial intelligence" to collect and analyze hundreds of data touch points to improve user experience in mobile apps. On the same day, I read about another company that predicted customer behavior using "a combination of machine learning and AI" and "AI-powered predictive analytics." Some people refer to AI and machine learning as synonyms and use them interchangeably, while other use them as separate, parallel technologies. In many cases, the people speaking and writing about the technology don't know the difference between AI and ML. In others, they intentionally ignore those differences to create hype and excitement for marketing and sales purposes.


Machine Learning and AI: The puzzle is not solved yet

#artificialintelligence

The most buzzed-about disruptive technologies that are changing business landscapes today are Machine Learning (ML) and Artificial Intelligence (AI). Almost all of us have heard or read about them but do we actually know what the fuss is all about? The enterprises are trying to harness the explosion of digital data and computational power with advanced algorithms to enable collaborative and natural interactions between people and machines. However, there's still a lot of confusion within the public and the media regarding what is ML and AI. People prefer to write AL and ML technologies -- and not ML and AI -- and the argument goes that the former syncs well with the human mind.


Machine Learning and AI: The puzzle is not solved yet

#artificialintelligence

The most buzzed-about disruptive technologies that are changing business landscapes today are Machine Learning (ML) and Artificial Intelligence (AI). Almost all of us have heard or read about them but do we actually know what the fuss is all about? The enterprises are trying to harness the explosion of digital data and computational power with advanced algorithms to enable collaborative and natural interactions between people and machines. However, there's still a lot of confusion within the public and the media regarding what is ML and AI. People prefer to write AL and ML technologies -- and not ML and AI -- and the argument goes that the former syncs well with the human mind.