The Data Exchange with Ben Lorica Beyond ETL: How Snow Leopard Connects AI, Agents, and Live Data
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Dec 5, 2024 In this discussion, Deepti Srivastava, the Founder and CEO of Snow Leopard, shares her expertise in innovative data integration. She explains how Snow Leopard empowers real-time data access, overcoming the limitations of traditional ETL processes. The conversation highlights the vital role of live data in boosting AI capabilities and enhancing decision-making. Deepti also touches on the real-world applications of Snow Leopard, particularly in the fintech sector, and the future of dynamic agents in AI, paving the way for smarter data integration.
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AI's Potential Tied to Business Data
- Connecting AI systems to operational business data is crucial for realizing AI's full potential.
- This data is key to unlocking new value creation, increased productivity, and innovative business models.
Current Solutions' Shortcomings
- Current solutions for connecting AI to operational data involve dumping data into a lake or writing ad-hoc connectors.
- These approaches are inefficient, lack scalability, and often provide stale data.
Deepti's Data Journey
- Deepti Srivastava, with two decades of enterprise data experience, saw firsthand the challenges of data silos and ETL pipelines.
- Her background includes building Oracle RAC and Google Spanner, where she observed the limitations of traditional data integration.