Title of the Talk:

Data Modernization in the Age of AI: Building Intelligent, Scalable, and Secure Data Ecosystems

Abstract:

In an era defined by rapid digital acceleration, organizations are generating and ingesting data at unprecedented scale, velocity, and complexity. Yet, many enterprises remain constrained by legacy data platforms that were never designed for real-time processing, advanced analytics, or AI-driven workloads. These limitations not only slow decision-making but also hinder innovation, agility, and competitive advantage.
Data modernization has emerged as a strategic imperative, enabling organizations to transition from fragmented, monolithic data environments to agile, cloud-native, and intelligence-driven ecosystems. This keynote explores how modern data architectures, powered by scalable cloud platforms, distributed processing, and automated data pipelines, are redefining how enterprises harness the value of data.
The session will dive into key pillars of data modernization, including the adoption of data lakes and lakehouse architectures, real-time streaming and event-driven systems, metadata-driven integration, and the infusion of AI and machine learning into data platforms. It will also address the critical role of cybersecurity and governance in ensuring data integrity, privacy, and compliance in increasingly complex environments.
Beyond technology, this talk highlights the organizational and cultural shifts required to succeed, from breaking down data silos to fostering a data-first mindset and enabling cross-functional collaboration. Real-world insights and architectural patterns will illustrate how enterprises can balance scalability, performance, and security while accelerating time-to-insight. Attendees will leave with a clear understanding of how data modernization serves as the foundation for AI innovation, operational excellence, and resilient digital transformation, empowering organizations to not only keep pace with change, but to lead it.

Profile:

Mr. Hariprakash is a Sr Application Dev Analyst, specializing in designing and developing REST APIs using IBM API Connect to integrate with a wide array of external vendors. He has extensive experience working with SOA DataPower appliances (XI50, XI52, IDG) and IBM Integration Bus (IIB), developing message flows and transformations using ESQL, Java, and XSLT.
His professional background includes building robust frameworks for SOAP, REST, and MQ services, alongside implementing high-level security mechanisms like mutual SSL authentication, PKI, and digital signatures. He is well-versed in the entire Software Development Life Cycle (SDLC), including requirement gathering, system integration testing, and automating deployments through UCD and UNIX scripting. Furthermore, he has demonstrated leadership by mentoring offshore resources and possesses deep industry knowledge across Health Insurance, Banking, Airlines, Crop Science, and Retail.