Harnessing the Power of Artificial Intelligence and Data Science
Abstract
Artificial intelligence (AI) and data science have a massive contribution by transforming the present world into a revolutionary step through their application in various fields to solve the most common problems. It gives the machines to exhibit human-like characteristics such as learning and problem-solving. Data science is the field of study of large amounts of data to discover previously unknown patterns and extract meaningful knowledge by combining domain expertise, using modern tools and techniques, and knowledge of mathematics and statistics. AI and data science are becoming much more important for the healthcare industry. It is helpful in getting better and faster diagnoses than humans. AI and data science applications in the domain of finance are huge. Time-series analysis and forecasting are useful tools for making quick and quality decisions that are for solving challenging real-time financial problems like stock market predictions. In today’s world chatbots are used to make effective communication with its user. The use of chatbots is huge as they are universally used on various websites for providing information and guidance by interacting and explaining to human users how the company or product works with a quick and meaningful response. A virtual assistant is a digital assistant that recognizes simple voice commands and completes tasks for the user. This is also an application of AI and data science 306 that enables virtual assistants to listen to the user’s command, interpret it, and perform the task. It gives the users the power to set an alarm, play music from Spotify, make calls, send messages, make a shopping list, or provide information such as weather, facts from Wikipedia, search meaning of a word from the dictionary, etc., by browsing the web with just a simple natural language voice command. There are many more real-life applications, such as e-mail spam filtering, Recommendation systems, autocomplete, face recognition, etc.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
AI predictive abilities enable organizations to take proactive moves such as reorienting strategies within a supply chain or preparing for disruptions while applying measures to adapt to the changing environment with minimum negative impacts.
“Such predictive abilities enable organizations to take proactive moves such as reorienting strategies within a supply chain or preparing for disruptions while applying measures to adapt to the changing environment with minimum negative impacts41,42.”
From A decision-support framework for evaluating AI-enabled ESG strategies in the context of sustainable manufacturing systems (2025) · cites this paper as [41]
Cited by
Sorted by citations
Aljohani, A. (2025) · Scientific Reports · doi:10.1038/s41598-025-09569-9 · Cited by 30 · see citing works
Agarwal, R., Kumar, T., Rawat, S., & Kaur, H. (2025) · IGI Global eBooks · doi:10.4018/979-8-3373-1882-0.ch007 · Cited by 2 · see citing works
Can AI Finish Poverty? The Role of Artificial Intelligence in Poverty Alleviation
Kaçer, M. (2024) · Sosyal Çalışma Dergisi · doi:10.70989/scd.1484258
- Authors
- Sakthivel, V., Pravakar, D., & Prakash, P.
- ORCID
- Prakash, P.
- Venue
- Advancement of Data Processing Methods for Artificial and Computing Intelligence
- Publisher
- River Publishers
- Published
- 2024-02-06
- Pages
- 305-327
- OpenAlex
- W4391576216
- Cited by
- 3
- References
- 0
- Citations by year
- 2025: 2 · 2024: 1
- FWCI
- 1.97
- Type
- book chapter
- Language
- en
- Open access
- closed
- Locations
- River Publishers eBooks (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
- Physical Sciences › Computer Science › Information Systems › Internet of Things and AI
- Social Sciences › Decision Sciences › Management Science and Operations Research › Impact of AI and Big Data on Business and Society
- Keywords
- artificial intelligence applications, data science applications, healthcare diagnostics, financial forecasting, stock market prediction, chatbots, virtual assistants, voice recognition, email spam detection, recommender systems, face recognition
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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