AI AND THE CLOUD: UNLOCKING THE POWER OF BIG DATA IN MODERN HEALTHCARE

Surendar Rama Sitaraman · Poovendran Alagarsundaram · Kalyan Gattupalli · Venkata Surya Bhavana Harish · Harikumar Nagarajan · Chi Lin

Jul 2023 · Xoffencerpublication

Ebook

244

Pages

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About this ebook

The application of artificial intelligence (AI) in conjunction with cloud computing in contemporary healthcare is bringing about a revolution in patient care, medical research, and the efficiency of operational procedures. Patient records, medical imaging, genetic information, and real-time monitoring data from wearables are all examples of the massive volumes of data that are produced by the healthcare industry. The use of this data poses not only a difficulty but also an opportunity to improve diagnoses, treatment, and personalised care. Artificial intelligence algorithms are able to handle and analyse enormous information by utilising the scalable architecture of the cloud. This allows them to discover patterns and insights that would otherwise be impossible to identify. As a result of this synergy, predictive analytics for disease outbreaks, early identification of illnesses such as cancer, personalised treatment plans based on genetic profiles, and optimised healthcare logistics are all made possible. Furthermore, cloud systems that are powered by artificial intelligence enhance data accessibility and interoperability, which enables smooth cooperation across healthcare providers while simultaneously assuring data security and compliance with laws. However, ethical considerations and data privacy continue to be important challenges, since it is necessary to protect patient information in order to preserve trust and adhere to regulatory norms. The purpose of this book is to investigate how artificial intelligence (AI)-powered cloud solutions are enabling the potential of big data in the healthcare industry, therefore enhancing efficiency, enhancing patient outcomes, and paving the road for the future of precision medicine. Additionally, it investigates the technological, ethical, and regulatory problems that are linked with this paradigm change, providing insights into the methods of integration that are both sustainable and responsible. A change towards data-driven decision-making is being sparked by the use of artificial intelligence (AI) and cloud technologies in the healthcare industry. This shift is expected to reduce reliance on conventional diagnostic approaches and enhance accuracy through the utilisation of automated systems. Using AI models that have been trained on big datasets, for example, it is now possible to detect early signs of illnesses in medical imaging with a level of precision that is equivalent to, and sometimes even exceeds, that of human specialist. In regions with limited access to specialised medical skills, this breakthrough is especially helpful since it is particularly advantageous in locations with low resource

About the author

Surendar Rama Sitaraman is a Staff Engineer at Samsung Austin R&D Center (SARC), Advanced Computing Lab (ACL), where he focuses on developing and optimizing software for Samsung’s flagship devices. He holds an M.S. in Computer Science from the University of Southern California. Previously, Surendar worked as a Software Engineer at Intel Corporation, contributing to key technological advancements. He specializes in machine learning, AI, and AI frameworks, with expertise in Cloud Computing, Data Mining, Graphics, and IoT. Surendar has authored 10 research papers.

Poovendran Alagarsundaram is an experienced professional with expertise in Data, DBMS, RDBMS, NoSQL, and Big Data technologies, including Apache Spark, Airflow, Kafka, DBT, and streaming/API solutions. His focus areas include Cloud, IoT, and AWS Data Technologies. A certified AWS Solution Architect Associate and AWS Data Specialist, Poovendran has over 20 years of IT experience. He has worked at IBM with clients like AT&T, Shell, Vodafone, Xerox, UPS, and CAMMIS across multiple countries. He has earned several awards at IBM and is currently with Humetis Technologies Inc.

Kalyan Gattupalli holds a Master's in Computer Applications from the University of Madras (2007) and has diverse experience in Cloud computing and CRM, including Azure Cloud, Microsoft Dynamics CE, and Salesforce CRM. Over the past decade, he has worked as a Computer Systems Analyst with various federal departments in Canada and financial institutions. He currently operates as an independent contractor under Sunny Information Technology Services Inc.

Venkata Surya Bhavana Harish is an experienced data engineer with roles at Under Armour, Asurion, and Informatica. He has expertise in modern data platforms like Snowflake, Databricks, Fivetran, and Confluent Kafka, along with AWS services such as RedShift, S3, and EC2. Skilled in ETL/Reporting tools (Informatica, Talend, Power BI) and programming languages like Python, he is also proficient in big data technologies, databases, and web technologies. He holds a Master's in Management Information Systems and a Bachelor's in Information and Communication Technology

Harikumar Nagarajan is an experienced IT architect and full-stack developer with expertise in web, mobile, cloud platforms, and data science. He specializes in Java, JEE frameworks, microservices architecture, Docker, Kubernetes, and multi-cloud environments (AWS, Azure). Harikumar has led projects in legacy system rewrites and microservices, and is proficient in Java, Spring Boot, Angular, REST, Oracle, SQL, Big Data (Hadoop, Spark), and tools like IBM RSA, Maven, Jenkins, and JIRA. He has worked across industries such as Banking, Healthcare, Pharma, and Finance, excelling in both Agile and Waterfall methodologies. Harikumar has received multiple career awards.

Chi Lin received his B.E. and Ph.D. degrees from Dalian University of Technology, China, in 2008 and 2013, respectively. He has been an Assistant Professor since 2014 and an Associate Professor at the School of Software, Dalian University of Technology, since 2017. Chi has authored over 80 papers in top journals and conferences, including MobiCom, INFOCOM, and IEEE TMC. His research focuses on wireless sensing and the Internet of Things. In 2015, he was named an ACM Academic Rising Star, and in 2022, he received the Gold Medal at the International Exhibition of Inventions in Geneva.

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