Nethika Alagarathnam | Undergraduate | Rajarata University of Sri Lanka

Today, we are in the midst of the digital age’s boom, with nearly every person gaining access to large amounts of processing strength and statistics. In recent times, information is the maximum valuable commodity. We can now bring in and analyse massive amounts of data that were previously impossible to execute. Artificial intelligence is an idea that has been around us for a long time. The generation has been here for a long term, however, what has stepped forward in recent times is the power of computing, cloud-based service picks, and the software of AI to our roles as marketers.

What is Artificial Intelligence?

John McCarthy, a Stanford computer science professor emeritus and the man who originated the phrase “artificial intelligence” and went on to define the subject for more than five decades. Artificial intelligence (AI) is a type of technology that attempts to imitate the human mind in areas such as analysis and learning. AI is programmed to form conclusions based on facts, comprehend ideas, learn on its own, and even communicate with humans. In a broader sense, AI is a technology that enables many processes to run more autonomously and automatically. It is a very successful technology that strives to construct systems that gather data, analyse it, forecast consequences, and eventually improve human life by implementing human-like intelligence in robots. AI refers to a collection of algorithms that use data to make judgments and complete tasks in the same way that people do.

What is Data Analytics?

Data analytics is a term that describes technology which analyses information and develops patterns from it. But, depending on the era, the characteristic might also differ. Advanced analytics, for example, may examine data to explain what is going on, but predictive analytics can forecast what will occur based on present events. It’s all about data; in the last few years, more data has been produced than in the whole history of the human species. Most electronic datasets were previously organized and fit into databases. But, owing to the linked world, our digital lives are generating even more big data, and the majority of the data created is not in a structured format, such as photographs, videos, and voice data files. Here’s where the use of data analytics comes into play. To provide useful information, these massive amounts of data must be examined.

Is there any difference between Artificial Intelligence and Data Analytics?

Yes, they do have a variety of differences. As data analytics and artificial intelligence (AI) functionalities come to be extra broadly used and employed in numerous operational approaches inclusive of marketing and delivery, it is vital to understand the variations between the two and what function they may perform in daily operations. It is also vital to recognize the differences between them.

Artificial Intelligence Data Analytics
AI is a part of computer science that focuses on developing intelligent machines that can be trained to think and act like humans.
On the other side, data analytics refers to the methodologies for analyzing raw data in order to gain important ideas from it.
AI is concerned with data analysis, assuming things, and attempting to make guesses which are surpassing human abilities.
Whereas data analytics is concerned with identifying patterns in previous data in order to forecast future occurrences.

Cleaning facts — an important level inside the analytical manner – is also made less difficult by the usage of AI in statistics analytics. Because AI is a part of the analytics atmosphere, it’s necessary to renowned that AI and analytics are not the same matter. If organizations need to get a bonus over their competition, they ought to recognize the difference and be prepared to embody technology.

Summary of Data Analytics and Artificial Intelligence

Artificial Intelligence and Data Analytics are the competencies to investigate and soak up big volumes of facts from an expansion of assets, in addition to apprehending patterns and forecast destiny developments. Predictive analytics facilitates businesses and industries to make production, advertising, and development alternatives. In a word, artificial intelligence (AI) is fixed technology designed to extract meaningful insights from large datasets and make educated judgments primarily based on those facts. For this, AI calls for first-rate information, and without extremely good information analytics equipment, AI can be unable to assess information and make predictions, and so could be unable to deliver beneficial insights. As a result, facts analytics and AI are inextricably related and knowing the differences between the two boils right down to choosing the perfect equipment for the activity.