HARNESSING BIG DATA Leveraging AI, ML, and Generative AI for Data-Driven Innovation

Venkata Nagesh Boddapati is a seasoned IT professional with over 13+years of experience in the industry ,having worked with leading corporations such as Microsoft,Mindtree,IBM. His extensive experience spans Big Data, Data Engineering ,Cloud Data engineering , AI & ML solution, Data Streaming Technologies, His innovative work is well-documented in numerous technical papers, underscoring his profound engagement with both the theoretical and practical dimensions of engineering. Venkata Nagesh is committed to contributing to the growth of Data Engineering through impactful projects, Book Authorship, mentorship and evangelization of cutting edge technologies. His dedication to staying updated on the latest advancements in Data engineering technologies has made Venkata Nagesh valuable asset to any organization looking to strengthen its technical expertise.

Vishwanadham Mandala is a seasoned IT professional with over 20 years of experience in the industry, having worked with leading corporations such as Accenture, IBM, Oracle, Ciena, and Cummins. His extensive expertise spans Big Data, Data Engineering, Cloud Data Engineering, AI & ML solutions, Data Streaming technologies, Workflow orchestration technologies, Data Integrations, and Technology leadership. Vishwanadham Mandala is committed to contributing to the growth of data science through impactful projects, Book Authorship, mentorship, and evangelization of cutting-edge technologies. His LinkedIn profile: https://www.linkedin.com/in/vishwanadh-mandala/ Vishwanadham Mandala envisions leveraging his AI and ML expertise to drive impactful technological advancements, particularly in citizen safety, Manufacturing, healthcare, and environmental applications. His aspiration to contribute to accelerating business capability delivery through advanced analytics reflects his commitment to driving meaningful impact in the industry. This professional bio underscores Vishwanadham Mandala's extensive experience, proficiency, and commitment to driving technological advancements, positioning him as a valuable AI and ML expert and technology leader in the industry

Gagan Kumar Patra is an accomplished IT professional with over 12 years of extensive experience in Data Analytics, File Transfer Systems, and Service Delivery. He has exhibited outstanding leadership in managing multidisciplinary teams within the Media, Entertainment, and Investment Management sectors ensuring timely delivery and maintenance of data Analytics projects and has successfully executed cost optimization plans, and transitioned to serverless architectures to improve efficiency. His extensive expertise spans Big Data, Data Engineering, Cloud Data Engineering, and Data Streaming Technologies. Passionate about progressing the field of Data Engineering, Gagan Kumar Patra actively participates in significant projects, mentors others, and advocates for innovative technologies. His unwavering dedication to remaining updated with the latest developments in Data Engineering highlights his importance as a key driver in any organization.

Fnu Samaah is Versatile Full Stack Developer with extensive experience in Java/J2EE, big data engineering, and cloud technologies. Fnu Samaah currently working in U.S. bank as a Java Full Stack Developer and Team Lead. Samaah has six years of industry experience as a Java Full Stack Developer and Tech Lead. Her main areas of expertise and research interest are Machine Learning, Chatbots and Cybersecurity. She published several papers on Chatbots, Artificial Intelligence, big data and cybersecurity awareness in International Journals and press media. She completed her Master of Computer Science from Northeastern Illinois University and Master’s in data science from Harrisburg University of Science and Technology. Fnu also have a Bachelor of Technology in Information Technology from JNTUH College of Engineering Hyderabad. She is a reviewer and editorial board member of several reputed international journals related to computer science.