Welcome address and opening talk
summary
Conference opens with concrete audience and program numbers: 544 attendees from 274 companies, 65 speakers from 9 countries, and 110 proposals, 67 accepted. Describes toolchain in active use—Python, R, Julia, Jupyter, TensorFlow, PyTorch, scikit‑learn, Hadoop, Kafka, MongoDB—and hardware trends like GPUs and TPUs. Cites a 75% rise in Indian data‑science jobs year‑over‑year and PwC adoption estimates (retail ~92%, financial services ~100%). Emphasizes roles shifting toward AI/data engineering and the need to scale skills and validation alongside product deployment.
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chapters (15)
- 0:00ODSC India opening remarks
- 1:11ODSC events worldwide
- 3:17AI breakthroughs in machine learning and deep learning
- 5:03Open-source data science tools
- 7:10AI adoption trends
- 9:16Future of AI and data science
- 12:43Data science unicorns and skills
- 14:29AI and data engineering roles
- 16:33India leading AI innovation
- 18:39ODSC goals for AI future
- 19:25Conference logistics
- 24:16Session tracks
- 26:46Feedback and improvements
- 28:31Law of two feet
- 29:13Sponsors and program committee acknowledgments
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