AI Engineering: Deep Dive into Personas

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Presented by

John Andersen, VP of Solutions Consulting and Architecture, and Adam Schofield, Account Executive at CognitiveScale

About this talk

AI Engineering enables organizations to industrialize Artificial Intelligence (AI) to rapidly deliver business value. It is a discipline that encompasses a streamlined AI development lifecycle, including: DataOps, ModelOps, and DevOps, allowing for uninterrupted transitions for AI models across operational and maintenance environments. The idea behind AI Engineering is to bring together the many different roles from Data Engineers, Data Scientists, Software Engineers, System Administrators, DevOps Engineers, Domain SME, Business Owners, Auditors to Customers involved when building AI. Many different roles or personas equates to many different technologies being used across the enterprise, each having their own criteria for success. This leads to fragmented, non-repeatable processes and manual steps to deliver a pointed solution. Key Takeaways: - AI Engineering is a team sport - Connect, orchestrate, learn and engage - Build a scalable and repeatable process for the various personas involved in the AI lifecycle

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CognitiveScale pioneered the concept of ‘Trusted AI', paving the way for responsible AI Engineering for enterprises worldwide with a focus on Hyper-Personalization and our unique “Profile-of-One” capability. Backed by 100 AI patents, the Cortex platform empowers data scientists and citizen developers to understand and analyze intelligent, transparent & trusted AI systems using any data, on any cloud. By simplifying the development, deployment and management of AI systems, CognitiveScale is revolutionizing how organizations across industries-healthcare, financial services, insurance and digital commerce- engage with customers, optimize services and realize true business value- all while protecting them from business risk.