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Powering AI/ML & Analytics with Smarter Data Engineering

Presented by

Phillip Miller, Senior Product Marketing Manager, AI Progress;Stephen Faig, Research Director, Unisphere Research and DBTA; Jerod Johnson, Senior Technology Evangelist, CData Software

About this talk

Powering AI/ML & Analytics with Smarter Data Engineering AI/ML and advanced analytics are only as powerful as the data fueling them. Without a solid data engineering foundation, even the most sophisticated models and applications will fall short. Join us for a special roundtable webinar to explore how smarter data engineering can accelerate AI/ML performance, streamline analytics, and enable real-time decision-making. Industry experts will share best practices for building scalable, efficient data pipelines that power intelligent applications. You'll learn: How to design high-performance data architectures for AI/ML Strategies for optimizing data pipelines and reducing latency Best practices for integrating real-time analytics into your stack The latest tools and technologies transforming data engineering
Progress Data Platform | Power Trustworthy AI

Progress Data Platform | Power Trustworthy AI

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Accelerate AI. Govern Knowledge. Scale with Confidence
Large, knowledge-rich, regulated enterprises can turn scattered, fragmented data into trusted decisions, fast today, scalable tomorrow, so teams ship work sooner, reduce risk, and prove ROI with human-centric, contextual AI.
 Hear from organizations — our customers — on how they’re creating trustworthy, accurate, and cost-effective AI applications and business insight engines with the Progress Data Platform for AI. Discover how to build enterprise-ready AI systems with insights from Progress experts — developers, engineers, and knowledge managers — who will share proven strategies and best practices for success.
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