"Leadership is the capacity to translate vision into reality." Warren G. Bennis. This is precisely accurate for Praveen Donepudi, an incredible innovator and amazing visionary. Born July 25th, 1978 in Vijayawada, Andhra Pradesh, he is a Masters degree holder in Computer Applications from Bharathidasan University. He is currently working with UST-Global, Inc. as an Enterprise Solutions Architect. He is a true differentiator and turns things around to help businesses flourish with the combination of his technical and business acumen. He is a creative and energetic researcher who is professional, knowledgeable and passionate about his work. He authored four books and several research studies published in national and international journals in the field of AI, IoT and Machine Learning. 

In recent years, cloud computing has proved to be the most exciting technical advancement. Of course, this technology is not a new development in the industry, however, it can improve operational performance with proper preparation and implementation. The article "Donepudi, P. (2016). Influence of Cloud Computing in Business: Are They Robust? Asian Journal of Applied Science and Engineering, 5(3), 193-196." scrutinizes the impact of Cloud Computing on businesses in the modern landscape and how it differs from other emerging IT models like AI and ML. This article discusses about the various perspectives of the businesses, may it be full cloud migration as a sure bet in cutting hardware costs, or to use the cloud to improve operational efficiency and accelerate growth.

Likewise, AI and Machine Learning are two types of computational intelligence gaining popularity in almost every field. In the banking industry, A.I. and ML are primarily used for automation, analysis, and decision-making, resulting in the development of new business models. AI & ML can greatly enhance the speed and accuracy of fraud detection, offer personalized banking services and eliminate human error in high-frequency repetitive tasks by automation. His article, "Donepudi, P. K. (2017). Machine Learning and Artificial Intelligence in Banking. Engineering International, 5(2), 83-86.", analyses the impact of AI and ML on the banking sector as it embraces new ways of meeting the demands of its clients as they want smarter, more convenient, and safer ways to access, save, spend, and invest their money. AI & ML have greatly assisted the banking industry in revenue growth by recommending most appropriate users with the help of recommendation engines and risk profiles based on historic data.

Praveen's research interest includes Artificial Intelligence, IoT and Machine Learning. He is always desirous to work with other scholars and technologists to share his research and contribute as a subject matter expert to increase the scope of their research. One such article that he has co-authored is "Perceptions of RAIA Introduction by Employees on Employability and Work Satisfaction in the Modern Agriculture Sector. PK Donepudi, AAA Ahmed, MA Hossain, P Maria - International Journal of Modern Agriculture, 2020". This article aims to verify the impact of RAIA (Robotics, Artificial Intelligence, and Automation) on current employability and work satisfaction in agricultural sector as most studies conducted in the past were all quantitative in nature and did not reflect the specific and divergent views of end-users. The article discusses the impact of RAIA on factors such as job variation, job uncertainty, work satisfaction, and employability. The study opines that although the jobs remain secured, individuals must expand their technical knowledge and gain conceptual clarity, and upskill to remain employable. The agricultural firms must also take steps to educate the employees to improve the acceptance of implementation of RAIA in operations.

Healthcare is another field which has been affected by artificial intelligence and machine learning. An increasing number of researchers are turning their attention towards the application of AI & ML in genomics, an interdisciplinary biology field which focuses on the study of genome structure, function, mapping, and editing. Praveen co-authored "(2020). 'Artificial Intelligence in Clinical Genomics and Healthcare', European Journal of Molecular & Clinical Medicine, 7(11), pp. 1194-1202. ABM Asadullah, AAA Ahmed, PK Donepudi" where he contributed as a domain expert. This study aims to discuss about the applications of AI and ML in genomics such as sequencing of gene, editing of gene, pharmacogenomics (how genes control the reaction of a person to drugs), screening methods for newborns, and for agriculture. AI is particularly instrumental in clinical genomics in areas such as image to genetic diagnosis, genotype-to-phenotype prediction, phenotype-to-genotype mapping, classification of coding/non-coding variants, genome explanation and variant order and variant calling.

Artificial Intelligence (AI) and Machine Learning (ML) have recently become major topics in the technology sector. Artificial Intelligence (AI) has a greater effect on the business world than it has on our everyday lives but this is only the beginning; in the coming years, AI and ML will find their way into a greater portion of our lives.

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