[PDF][PDF] Digitalization and AI for Sustainable Development: Expectations from the Sustainable Action Conference 2024 (SAC 2.0)

S Addimulam - Digitalization & Sustainability Review, 2024 - researchgate.net
This study examines how digitalization and AI may advance sustainable development, using
Sustainable Action Conference 2024 (SAC 2.0) findings. The main goals are to evaluate …

[PDF][PDF] Harnessing Artificial Intelligence to Drive Global Sustainability: Insights Ahead of SAC 2024 in Kuala Lumpur

KA Farhan, AR Onteddu, S Kothapalli… - Digitalization & …, 2024 - researchgate.net
In light of the Sustainable Asia Conference (SAC) 2024 in Kuala Lumpur, this paper
examines how AI can alter global sustainability. The main goal is to evaluate how AI might …

[PDF][PDF] Big Data Analytics for Business Management: Driving Innovation and Competitive Advantage

NRB Sridharlakshmi, RK Karanam… - Asian Business …, 2024 - researchgate.net
The study aims to investigate how Big Data Analytics may revolutionize modern business
management by fostering innovation and providing a competitive edge. The study looks at …

[PDF][PDF] Effective Change Management Strategies: Lessons Learned from Successful Organizational Transformations

AR Allam, KA Farhan, HP Kommineni… - American Journal of …, 2024 - researchgate.net
The study looks into successful organizational transformations' effective change
management techniques to extract important lessons for directing following change projects …

[PDF][PDF] The Role of Digital Transformation in Achieving Sustainability Goals: A Preview of SAC 2024 (2.0)

RK KARANAM, S ADDIMULAM… - … Digits: Journal of …, 2024 - researchgate.net
Digital technologies like AI, IoT, big data, and blockchain are leveraged to improve resource
efficiency, transparency, and sustainable business practices. The study examines how …

[PDF][PDF] Financial Engineering and AI: Developing Predictive Models for Market Volatility

P Pasam, KRV Kothapalli, R Mohammed… - Asian Business …, 2024 - researchgate.net
This paper examines financial engineering's use of AI to anticipate market volatility. To
determine their efficacy, machine learning and deep learning are compared to ARCH and …

[PDF][PDF] AI-Driven Data Engineering for Real-Time Public Health Surveillance and Early Outbreak Detection

S Venkata - Engineering International, 2023 - researchgate.net
This research examines AI-driven data engineering in real-time public health monitoring and
early epidemic detection to improve outbreak response speed, accuracy, and effectiveness …

[PDF][PDF] Data-Driven Business Intelligence in Energy Distribution: Analytics and Environment-Focused Approaches

HP Kommineni, PK Gade, SSMGN Venkata… - researchgate.net
This research examines data-driven business intelligence (BI) in energy distribution,
concentrating on analytics and environmental methods to improve efficiency and …

[PDF][PDF] Determinants of AI Adoption Intent among Bangladeshi Students: An Extended UTAUT Model Analysis

Y Ali, TK Neogy, K Akter - researchgate.net
The usage of artificial intelligence is in its early stages in Bangladesh. However, educational
architecture will undergo a remarkable shift due to the adoption of AI. Thus, this paper …

[PDF][PDF] Implementing AI in SAP GTS for Symmetric Trade Analytics and Compliance

ABSTRACT SAP Global Trade Services (GTS) uses AI to improve symmetric trade analytics
and compliance management. The main goal is to examine how machine learning, natural …