Big Data Concept

   Introduction Have you ever wondered how Artificial Intelligence (AI) can transform the way healthcare is delivered? With the advent of agentic AI , personalized healthcare is reaching new heights. According to ScienceDirect , agentic AI paired with wearables and home monitoring tools continuously analyzes health data, alerts caregivers, and provides emergency responses, making healthcare more responsive and individualized. This article will explore the role of agentic AI in personalized healthcare, examine its impact on patient outcomes, and provide insights into future trends in this innovative field. Section 1: Understanding Agentic AI What is Agentic AI? Agentic AI refers to AI systems that can make autonomous decisions and recommend next steps based on data analysis. Unlike traditional AI, agentic AI has the capability to act independently, identifying patterns and suggesting personalized interventions. According to Salesforce , agentic AI’s ability to analyze data and ...

  Introduction In the rapidly evolving landscape of healthcare, big data has emerged as a transformative force, enabling unprecedented insights into patient care, disease management, and operational efficiency. Defined by its volume, variety, velocity, and veracity, big data encompasses vast datasets from electronic health records (EHRs), wearables, genomic sequencing, and more, generating over 2,314 exabytes daily by 2025. This chapter explores how big data is revolutionizing patient care, from predictive analytics to personalized medicine, while addressing benefits, challenges, and future trends. As of 2025, integrations of artificial intelligence (AI) and big data analytics are not only improving outcomes but also bridging gaps in access, with AI expected to accelerate markets like traditional, complementary, and integrative medicine (TCIM) to nearly $600 billion. Sources of Big Data in Healthcare Big data in healthcare draws from diverse sources, creating a rich ecosystem...