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All Journal Startupreneur Business Digital (SABDA Journal) International Transactions on Artificial Intelligence (ITALIC)
Pokkali, Krishna Chaitanya
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Library & Information Science

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Influence of Digital Technology & Data Analytics on Strategic Decision Making Sutarman, Asep; Aprianto, Ronal; Adyatama, Rendhika; Pokkali, Krishna Chaitanya; Yusup, Muhamad
Startupreneur Business Digital (SABDA Journal) Vol. 4 No. 1 (2025): Startupreneur Business Digital (SABDA)
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/sabda.v4i1.685

Abstract

In an increasingly advanced information age, digital technology and data analytics have become important pillars in effective decision making across a wide range of sectors. This journal aims to explore how digital technologies, including big data, artificial intelligence (AI), and machine learning, can be utilized to improve decision quality. Through a case study approach, we analyze several organizations that have successfully implemented these technologies in their decision making processes. The results show that the use of advanced data analytics enables organizations to unearth previously unreachable insights, improving the accuracy and speed of decision making. However, the research also identified several challenges, including the need for high analytical skills, data privacy concerns, and resistance to change in organizational culture. We found that to maximize the benefits of digital technologies, organizations need to adopt the right training strategies and create an environment that supports innovation. This research makes an important contribution to the understanding of how digital technologies can change the way organizations make decisions, as well as practical recommendations for more effective implementation. The findings are expected to help organizational leaders and decision-makers formulate better strategies to face the challenges and opportunities of the digital age. This study uniquely contributes by examining the synergistic interaction between digital technology and data analytics in strategic decision-making across multiple sectors. This study contributes by identifying key factors that influence the effectiveness of digital technology and data analytics adoption in strategic decision making and offering practical recommendations for companies to enhance the adoption of these technologies.
AI Driven Support Networks for Reducing Emotional Isolation Among Infertile Couples Faridah, Ida; Astrieta, Dhea Ayunanda; Juliastuti, Dyah; Anggraini, Lita; Pokkali, Krishna Chaitanya; Asri, Asri
International Transactions on Artificial Intelligence Vol. 3 No. 2 (2025): May
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/italic.v3i2.733

Abstract

Infertility is a global health issue that often leads to social stigma and emotional isolation, profoundly affecting the well-being of individuals and couples. This study explores the role of AI-driven support networks in alleviating these challenges by providing accessible, anonymous, and personalized emotional support. Utilizing a mixed-methods approach, data was collected through surveys and interviews with infertile couples, alongside an analysis of existing AI mental health platforms. The findings reveal significant reductions in stress, anxiety, and depression levels among participants, with anonymity and scalability being the most valued features of these platforms. This study underscores the transformative potential of AI in bridging the gaps in traditional support systems, offering a scalable and inclusive solution for mental health care. The implications for healthcare providers, technology developers, and infertile couples are profound, paving the way for innovative approaches to addressing stigma and emotional well-being.
Co-Authors Adyatama, Rendhika Anggraini, Lita Asri asri Astrieta, Dhea Ayunanda Faridah, Ida Juliastuti, Dyah Muhamad Yusup Ronal Aprianto Sutarman, Asep