The voice of AI, Data and Innovation
About the Guest
Anjan Kumar Reddy Ayyadapu
Anjan Kumar Ayyadapu, Senior Data Solutions Architect at Cloudera, leads Edge-to-AI platform innovations, driving hybrid data strategies, generative AI adoption, and secure digital transformation for global enterprises with proven expertise across AWS and cloud ecosystems.
Harshit Kohli
Harshit Kohli is a seasoned data and cloud leader at AWS, driving large-scale digital transformations with GenAI, analytics, and modern platforms, previously spearheading big data solutions across global enterprises.
Brief About the Episode
In this episode of TeqTalk, Anjan Kumar Ayyadapu from Cloudera and Harshit Kohli from AWS unpack why nearly 80% of AI projects stall at the data preparation stage. They highlight challenges like poor data quality, inconsistent formats, and governance gaps, and discuss how feature stores, unified pipelines, and MLOps can bridge the data–AI divide. The conversation explores hybrid infrastructure models and emphasizes building responsible AI with fairness, compliance, and monitoring. Leaders are urged to start small, align teams, and strengthen data foundations for scalable, sustainable AI adoption.
Key Learnings for Leaders
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Bridge the Data–AI Gap
Invest in feature stores, unified pipelines, and MLOps to overcome challenges like poor data quality, governance gaps, and latency issues.
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Adopt Hybrid Infrastructure Models
Balance governance, flexibility, and scalability by leveraging hybrid approaches over warehouse- or lake-only models.
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Build Responsible, Scalable AI
Prioritize fairness, compliance, and continuous monitoring while starting small, aligning teams, and strengthening data foundations for long-term AI success.
Unlock AI’s true potential with strong data practices, responsible governance, and future-ready infrastructure
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