In this webinar, we will dive into the evolution of ML platforms. We shed light on how to identify and define the right business use cases for AI deployment. The challenge for enterprises is to select the right tools often ranging from open-source, fit-to-purpose applications to end-to-end ML workbench. We will attempt to demystify the hype and provide our view on building ML applications with real-world examples.
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NetEnrich
In this webinar, we'll review the key factors required to manage and optimize your cloud costs, includes continuous refinement and best practices that help increase output and reduce costs while maintaining high service quality. The key takeaways from this webinar include: How can you avoid the common challenges in the software development lifecycle? Enabling a holistic approach to DevOps using the full stack of tools, automation and processes.
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This webinar session is geared towards business analysts and general data enthusiasts to learn the foundations around AI and Machine Learning. We’ll discuss how to approach AI/ML for business transformation, applications for predictive analytics, and best practices across the AI/ML lifecycle.
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Databricks
From genomics to electronic health records, massive datasets are enabling data-driven insights and ushering in a new era of precision medicine. Yet, healthcare organizations looking to unleash the power of big data and AI face many challenges, including how to: Securely manage and merge rapidly growing sets of siloed healthcare data.
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