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This blog explores how enterprises can leverage LLMs to extract instant value from continuous data streams and how conversational analytics is reshaping business intelligence. From financial services to retail, AI-powered data workflows are driving faster, smarter decisions—unlocking efficiency, scalability, and a strategic edge in a data-driven world.
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This blog explores DeepSeek's hybrid training methodology, combining Supervised Learning and Reinforcement Learning, and emphasizes the critical role of real-time data orchestration for efficient LLM training. By showcasing how Meroxa’s platform enables dynamic data ingestion, seamless feedback loops, and scalable feature engineering, the blog provides actionable insights for professionals designing high-performance, real-time AI systems.
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This blog highlights how integrating Meroxa for real-time data ingestion and Databricks for scalable processing transforms AI/ML workflows. This solution reduces data latency to under 30 seconds, accelerates model training from 48 to 6 hours, and boosts prediction accuracy by 23%. With automated pipelines and end-to-end integration, businesses save time, scale efficiently, and achieve tangible outcomes like improved customer engagement and increased revenue from real-time insights.