{"id":16694,"date":"2025-03-11T11:22:17","date_gmt":"2025-03-11T05:52:17","guid":{"rendered":"https:\/\/networkinterview.com\/?p=16694"},"modified":"2025-12-18T22:23:17","modified_gmt":"2025-12-18T16:53:17","slug":"data-science-vs-artificial-intelligence","status":"publish","type":"post","link":"https:\/\/networkinterview.com\/data-science-vs-artificial-intelligence\/","title":{"rendered":"Data Science vs Artificial Intelligence"},"content":{"rendered":"<div class=\"netwo-in-between-content netwo-entity-placement\" id=\"netwo-2430565395\"><div id=\"netwo-870589710\"><script async src=\"\/\/pagead2.googlesyndication.com\/pagead\/js\/adsbygoogle.js?client=ca-pub-1375203873676133\" crossorigin=\"anonymous\"><\/script><ins class=\"adsbygoogle\" style=\"display:block;\" data-ad-client=\"ca-pub-1375203873676133\" \ndata-ad-slot=\"2134143805\" \ndata-ad-format=\"auto\"><\/ins>\n<script> \n(adsbygoogle = window.adsbygoogle || []).push({}); \n<\/script>\n<\/div><\/div><p>In the last couple of years there has been an explosion of workshops, conferences and symposia , books, reports and blogs which talk and cover the use of data in different fields and variations of words coming into existence such as \u2018data\u2019, \u2018data driven\u2019, \u2018big data\u2019. Some of them make reference to techniques \u2013<span style=\"color: #0000ff;\"> <a style=\"color: #0000ff;\" href=\"https:\/\/networkinterview.com\/data-mining-vs-data-analytics\/\" target=\"_blank\" rel=\"noopener\">\u2018data analytics\u2019<\/a><\/span>, \u2018machine learning\u2019, \u2018artificial intelligence\u2019, \u2018deep learning&#8217; etc.<\/p>\n<p>Today we look more in detail about two important terms, widely used data science and artificial intelligence and understand the difference between them, the purpose for which they are deployed and how they work etc.<\/p>\n<h1><strong>What is Data Science?<\/strong><\/h1>\n<p>Data science is the analysis and study of data. Data science is instrumental in bringing the 4th industrial revolution in the world today. This has resulted in data explosion and growing need for industries to rely on data to make informed decisions. Data science involves various fields like statistics, mathematics, and programming.<\/p>\n<p>Data science involves various steps and procedures such as data extraction, manipulation, visualization and maintenance of data for forecasting future events occurrence. Industries require data scientists which help them to make informed decisions which are data driven. They help product development teams to tailor their products which appeal to customers by analysing their behaviours.<\/p>\n<h1><strong>What is Artificial Intelligence?<\/strong><\/h1>\n<p>Artificial Intelligence (AI) is a broad field and quite modern. However, some ideas do exist in older times and the discipline was born a way back in 1956 in a workshop at Dartmouth College. It is presented in contact with intelligence displayed by humans, and other animals. Artificial intelligence is modelled after natural intelligence and talks about intelligent systems. It makes use of algorithms to perform autonomous decisions and actions.<\/p>\n<p>Traditional AI systems are goal driven however contemporary AI algorithms like <span style=\"color: #0000ff;\"><a style=\"color: #0000ff;\" href=\"https:\/\/www.ibm.com\/cloud\/learn\/deep-learning\" target=\"_blank\" rel=\"noopener\">deep learning<\/a><\/span> understand the patterns and locate the goal embedded in data. It also makes use of several software engineering principles to develop solutions to existing problems. Major technology giants like Google, Amazon and Facebook are leveraging AI to develop autonomous systems using neural networks which are modelled after human neurons which learn over time and execute actions.<\/p>\n<h2><strong>Comparison Table: Data Science vs Artificial Intelligence<\/strong><\/h2>\n<p>Below table summarizes the differences between the two terms:<\/p>\n<table style=\"height: 746px;\" width=\"652\">\n<tbody>\n<tr>\n<td width=\"178\">\n<h3 style=\"text-align: center;\"><span style=\"color: #800000;\"><b>Parameter<\/b><\/span><\/h3>\n<\/td>\n<td style=\"text-align: center;\" width=\"397\">\n<h3><span style=\"color: #800000;\"><b>Data Science<\/b><\/span><\/h3>\n<\/td>\n<td width=\"415\">\n<h3 style=\"text-align: center;\"><span style=\"color: #800000;\"><b>Artificial <\/b><b>Intelligence <\/b><\/span><\/h3>\n<\/td>\n<\/tr>\n<tr>\n<td width=\"178\"><b>Definition<\/b><\/td>\n<td width=\"397\">Comprehensive process which comprises of pre-processing, analysis, visualization and prediction<br \/>\nIt is a discipline which performs analysis of data<\/td>\n<td width=\"415\">Implementation of a predictive model used in forecasting future events<br \/>\nIt is a tool which helps in creating better products and impart them with autonomy<\/td>\n<\/tr>\n<tr>\n<td width=\"178\"><b>Techniques<\/b><\/td>\n<td width=\"397\">Various statistical techniques are used here<\/td>\n<td width=\"415\">This is based on computer algorithms<\/td>\n<\/tr>\n<tr>\n<td width=\"178\"><b>Tools size<\/b><\/td>\n<td width=\"397\">The tools subset is quite large<\/td>\n<td width=\"415\">AI used a limited tool set<\/td>\n<\/tr>\n<tr>\n<td width=\"178\"><b>Purpose<\/b><\/td>\n<td width=\"397\">Finding hidden patterns in data<br \/>\nBuilding models which use statistical insights<\/td>\n<td width=\"415\">Imparting autonomy to data model<br \/>\nBuilding models that emulate cognitive ability and human like understanding<\/td>\n<\/tr>\n<tr>\n<td width=\"178\"><b>Processing <\/b><\/td>\n<td width=\"397\">Not so much processing requirement<\/td>\n<td width=\"415\">High degree of scientific processing requirements<\/td>\n<\/tr>\n<tr>\n<td width=\"178\"><b>Applicability<\/b><\/td>\n<td width=\"397\">Applicable to wide range of business problems and issues<\/td>\n<td width=\"415\">Applicable to replace humans in specific tasks and workflows only<\/td>\n<\/tr>\n<tr>\n<td width=\"178\"><b>Tools used<\/b><\/td>\n<td width=\"397\">Python and R<\/td>\n<td width=\"415\">TensorFlow, Kaffee, Scikit-learn<\/td>\n<\/tr>\n<tr>\n<td colspan=\"3\" width=\"990\"><img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-13850 aligncenter\" src=\"https:\/\/networkinterview.com\/wp-content\/uploads\/2020\/03\/table-marker-e1620727196794.jpg\" alt=\"\" width=\"250\" height=\"43\" \/><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><strong>Download the comparison table:<\/strong> <em><span style=\"color: #0000ff;\"><a style=\"color: #0000ff;\" href=\"https:\/\/networkinterview.com\/wp-content\/uploads\/2021\/10\/DATA-SCIENCE-vs-ARTIFICIAL-INTELLIGENCE-TABLE.jpg\" target=\"_blank\" rel=\"noopener\"><strong>Data Science vs Artificial Intelligence<\/strong><\/a><\/span><\/em><\/p>\n<h2><strong>Where to use Data Science?<\/strong><\/h2>\n<p>Data science should be used when:<\/p>\n<ul>\n<li>Identification of patterns and trends required<\/li>\n<li>Requirement for statistical insight<\/li>\n<li>Need for exploratory data analysis<\/li>\n<li>Requirement of fast mathematical processing<\/li>\n<li>Use of predictive analytics required<\/li>\n<\/ul>\n<h2><strong>Where to use Artificial Intelligence?<\/strong><\/h2>\n<p>Artificial intelligence should be used when:<\/p>\n<ul>\n<li>Precision is the requirement<\/li>\n<li>Fast decision making is needed<\/li>\n<li>Logical decision making without emotional intelligence is needed<\/li>\n<li>Repetitive tasks are required<\/li>\n<li>Need to perform risk analysis<\/li>\n<\/ul>\n<h2><span style=\"color: #ff6600;\">Continue Reading:<\/span><\/h2>\n<p><em><strong><span style=\"color: #0000ff;\"><a style=\"color: #0000ff;\" href=\"https:\/\/networkinterview.com\/artificial-intelligence-vs-machine-learning\/\" target=\"_blank\" rel=\"noopener\">Artificial Intelligence vs Machine Learning<\/a><\/span><\/strong><\/em><\/p>\n<p><span style=\"color: #0000ff;\"><em><strong><a style=\"color: #0000ff;\" href=\"https:\/\/networkinterview.com\/top-10-networking-technology-trends\/\" target=\"_blank\" rel=\"noopener\">Top 10 Networking technology trends\u00a0<\/a><\/strong><\/em><\/span><\/p>\n<div class=\"netwo-after-content netwo-entity-placement\" id=\"netwo-475237376\"><div id=\"netwo-659287993\"><script async src=\"\/\/pagead2.googlesyndication.com\/pagead\/js\/adsbygoogle.js?client=ca-pub-1375203873676133\" crossorigin=\"anonymous\"><\/script><ins class=\"adsbygoogle\" style=\"display:block;\" data-ad-client=\"ca-pub-1375203873676133\" \ndata-ad-slot=\"2134143805\" \ndata-ad-format=\"auto\"><\/ins>\n<script> \n(adsbygoogle = window.adsbygoogle || []).push({}); \n<\/script>\n<\/div><\/div>","protected":false},"excerpt":{"rendered":"<p>In the last couple of years there has been an explosion of workshops, conferences and symposia , books, reports and blogs which talk and cover the use of data in different fields and variations of words coming into existence such &hellip; 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