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Rohit Choudhary, Founder & CEO of Acceldata – Interview Series
- Rohit Choudhary founded Acceldata in 2018 to reimagine monitoring, investigation, remediation, and management of data pipelines and infrastructure in a cloud first, AI enriched world.
- Choudhary anticipates AI and machine learning playing a key role in advancing observability capabilities as multi-cloud environments become more complex.
- Acceldata's Natural Language Interface enables users to interact with observability workflows through simple, conversational commands.
- With the recent $60 million Series C funding round, Acceldata is focusing on AI-driven innovations like precise anomaly detection, automated remediation, and cost forecasting.
- Acceldata has integrated Bewgle's AI technologies to enhance data observability, improving machine learning models, anomaly detection, cost forecasting, and proactive insights.
- Trends in the AI and data observability market in the coming years include real-time observability, advancements in predictive analytics and automated anomaly detection, and tighter integration with data governance and security frameworks.
- Data observability will play a crucial role in deploying AI and large language models at scale, safeguarding against errors and biases in data quality and compliance.
- Rohit Choudhary's engineering and product development background has allowed Acceldata to design a practical and innovative platform that addresses the real-world needs of scaling data systems.
- Acceldata's AI Copilot uses machine learning to detect anomalies, predict cost consumption patterns, and deliver real-time insights through natural language interactions.
- Acceldata's unique capabilities include context-aware automation, AI-powered policy management, and human-readable descriptions of data assets and policies.
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