AI-Driven Operational Data Intelligence

Insights into leveraging operational data for both business and Technical users of customer facing applications. By seamlessly integrating AI techniques with data catalogs and technical metadata, It facilitates the discovery of complex data relationships, enabling both business and technical users to access, interpret data and query capabilities with ease. This innovative approach empowers organizations to unlock the full potential of their data assets, accelerating data-driven decision-making and driving operational efficiency.
Who is this presentation for?
The target audience for AI-Driven Operational Intelligence includes technical professionals like data scientists, machine learning engineers, and software developers, as well as business professionals such as data and product managers, and executives. This diverse group is interested in leveraging AI to improve data understanding, accelerate decision-making, and drive innovation within their organizations.
Prerequisite knowledge:
Basic understanding of AI and data analytics concepts.
 

Kishore is a seasoned Senior Data Architect with over two decades of experience in crafting and implementing innovative data solutions. His proven track record in the fintech industry, coupled with a deep understanding of data engineering, cloud computing, and AI, enables him to deliver impactful data-driven initiatives. As a visionary leader, Kishore excels in translating complex data challenges into actionable insights. His expertise lies in architecting robust data platforms, designing efficient data models, and leveraging advanced analytics techniques to optimize business processes and drive strategic decision-making. His recent role as VP for Data Technology at JP Morgan Chase further honed his ability to navigate the complexities of large-scale organizations and deliver transformative data solutions.