Data-Driven Development: A Journal of Information Technology Progress
Keywords:
Data-Driven Development, Information Technology, Big Data Analytics, Artificial Intelligence, Machine Learning, Cloud Computing, Predictive Analytics, Data Governance, IT Innovation, ScalabilityAbstract
Data-driven development has emerged as a transformative approach to fostering innovation and efficiency in information technology (IT). This paper explores how data analytics, artificial intelligence, machine learning, and cloud computing are driving progress in IT development. It highlights the role of data in optimizing decision-making, improving user experiences, and enabling predictive analytics. The study also discusses the challenges associated with data governance, security, and scalability in the era of big data. Through case studies across industries such as healthcare, finance, and logistics, the paper illustrates how data-driven development is reshaping business strategies and IT practices. By providing a comprehensive overview, this research underscores the importance of leveraging data as a catalyst for sustainable growth and technological advancement.
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