The digital era burgeons with data, challenging corporations to harness it effectively. In collaboration with Databricks convened a closed-door roundtable conference in Bengaluru titled ‘Architecting Tomorrow.’ Moderated by Madanmohan Rao, it delved into the evolving landscape of data architecture.
Industry Leaders Share Insights
Ramesh Kumar Saxena, Pharmeasy Saxena underscores data’s pivotal role in shaping digital healthcare’s future, highlighting Pharmeasy’s mission to enhance user experience and drive growth through data analytics and AI.
Mathangi Sri Ramachandran, Yubi Ramachandran emphasizes the centrality of data platforms in finance, driving financial inclusion and industry transformation.
Narendra Babu, PayU Babu sheds light on data insights’ role in empowering merchants and optimizing payments through analytics and machine learning.
Vishal Singh, Slice Singh outlines design principles for effective data platforms, emphasizing scalability and governance through vertical pillars and horizontal capabilities.
Alok Tiwari, Ola Tiwari discusses Ola’s project of IoT-enabled electric scooters, analyzing vast data for product enhancement and operational efficiency.
Abhishek Ranjan, Apna Ranjan shares Apna’s AI-driven approach to connect job seekers with opportunities, focusing on personalized job recommendations and improved recruiter efficiency.
Ravi Madhira, Pine Labs Madhira unveils Pine Labs’ data infrastructure revamp for product analytics and merchant engagement, ensuring data security and regulatory compliance.
Mallesh Bommanahal, Acko Bommanahal navigates challenges in leveraging language models for insurance customer service, aligning data pipelines with AI requirements.
Raghu Koratagere, NoBroker Koratagere narrates NoBroker’s journey in building a robust data lake for real-time analytics and improved customer engagement.
Sumaer Bahl, Databricks Bahl offers a broad perspective on data platforms and AI technologies’ evolution, showcasing Databricks’ Data Intelligence Platform and its capabilities in managing complex data & AI use cases.
Diverse Applications, Common Challenges
From healthcare to finance, speakers exemplify diverse data intelligence applications. Successes celebrated, challenges acknowledged, paving the way for tomorrow’s intelligent data platforms amidst digital transformation.
Conclusion
Insights shared by industry leaders serve as a guiding light, fostering a future driven by data-driven decision-making and transformative experiences.
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