Remove AI Modeling Remove AI Strategy Remove ETL
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Twilio Segment: Transforming customer experiences with AI

AI News

AN: Do you have any best practices and tools that you use for testing, monitoring, and debugging your AI models and applications to ensure quality and reliability? HT: Customer data unlocks the promise of AI as a unique market advantage, but your AI is only as good as the data you put into it.

Big Data 321
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Exploring the AI and data capabilities of watsonx

IBM Journey to AI blog

is our enterprise-ready next-generation studio for AI builders, bringing together traditional machine learning (ML) and new generative AI capabilities powered by foundation models. With watsonx.ai, businesses can effectively train, validate, tune and deploy AI models with confidence and at scale across their enterprise.

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Mathias Golombek, Chief Technology Officer of Exasol – Interview Series

Unite.AI

As AI deployment grows, it will become even more important for businesses to ensure strong data foundations. Exasol offers flexibility, resilience and scalability to businesses adopting an AI strategy.