Peer Reviewed Journal
Research Impact: 204+
Research Reads: 12,000+
Citations: 63+
AI/ML-Based Diabetes Application using Hybrid Grey Wolf and Dipper Throated Optimization Algorithm
Deep learning improves diabetes diagnosis through the Grey Wolf and Dipper Throated Optimization algorithm, achieving 99.10% accuracy on Pima Indian Diabetes Database by addressing missing data, high dimensionality, and feature selection challenges.
Enhancing Journal Accounting and Month-End Closing Processes through AI: A Comprehensive Analysis
The advent of Artificial Intelligence AI has paved the way for significant advancements across industries, with the accounting sector witnessing substantial transformations. This research paper delves into the impact of AI Actions on journal accounting and monthend closing processes, highlighting the automation of routine tasks, reduction of errors, enhancement of efficiency, and the facilitation of real-time financial insights.
DIGITAL TRANSFORMATION: IMPACT OF CLAIM ADJUDICATION ON FINANCIAL STABILITY AND OPERATIONAL EFFICIENCY OF HEALTH SERVICES PROVIDERS
Process automation and artificial intelligence are considered as two of the most important fields for the prediction in any business now a days. The work focuses on the amount of insurance claims that are made by the clients of the healthcare services providers. Moreover, the study identifies the address impact of claims adjudication on financial stability and operational efficiency of the healthcare service providers.
INTEGRATING DATA ENGINEERING WITH INTELLIGENT PROCESS AUTOMATION FOR BUSINESS EFFICIENCY
AUGMENTED INTELLIGENCE: HUMAN-AI COLLABORATION IN THE ERA OF DIGITAL TRANSFORMATION
Augmented Intelligence (AI) combines human and artificial intelligence to enhance decision-making. This paper reviews AI concepts, applications, and collaboration models like human-in-the-loop AI and cognitive computing AI. It examines AI’s role in improving human judgment, handling large datasets, and making routine decisions.
AUGMENTING INTELLIGENT DOCUMENT PROCESSING (IDP) WORKFLOWS WITH CONTEMPORARY LARGE LANGUAGE MODELS (LLMS)
The article discusses how to choose the best Robotic Process Automation product scientifically, focusing on objective criteria, data analysis, and real-world testing to ensure alignment with business needs.
PROCESS AUTOMATION 2.0 WITH GENERATIVE AI FRAMEWORK
The article presents Intelligent Process Automation 2.0, a Generative AI Framework enhancing organizational efficiency, accuracy, and scalability through advanced machine learning and domain expertise, promising significant process improvements.
FACTORS TO CONSIDER WHEN SELECTING A LARGE LANGUAGE MODEL: A COMPARATIVE ANALYSIS
INDEXING ROBOTIC PROCESS AUTOMATION PRODUCTS
The article discusses how to choose the best Robotic Process Automation product scientifically, focusing on objective criteria, data analysis, and real-world testing to ensure alignment with business needs.
