ON-DEMAND ROUNDTABLE
AI is only as good as the data it's built upon, and as the AI era continues to evolve, the organizations that succeed won't just be the ones that have more data – they'll have better data products. High-quality data products ensure that models are trained on reliable data and business decisions are grounded in trust and accuracy. Building better data products requires well-structured and governed data pipelines. It also requires systems that can leverage AI to learn, adapt and optimize – often in real-time – to continuously deliver fresh, trusted data.
Dive into the essentials for building better data products with AI – for AI, with CData Sync in this DBTA hosted special roundtable webinar that covers:
Establishing a data foundation of trust, reliability and governance
Streamlining data product development and scalability with AI
Eliminating bottlenecks through automation and active metadata
Moving from static data assets to dynamic engines of intelligence
Emerging trends in AI and data product innovation
