Platform to Share, Discuss and Advise Enterprises on best use of AI.
Looking to understand the huge gap between AI/ML advances and enterprise usage? Looking to share experiences of successful usage and failed AI Projects?
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AI Ops (for ex. IT Ops, HR Ops, Billing Ops) will impact most staff across enterprises; advances in chatbots, audio/video recognition technologies will bring huge process improvements to enterprises. We look closer at multiple case studies and ideas.
AiEthics is a fascinating area, something that will surely become a front-and-center concern for enterprises as they seek to build in AI into every application. We will carry essays from a wide range of contributors on this critical emerging area.
The DevSecOps /Agile SDLC process is the standard for all new digital projects. In AiSEP, we will discuss enhancements needed to the processes, to ensure AI/ML applications are developed, taught, tested, secured and supported at production grade.
The mathematics and statistics behind Data Sciences are still very much relevant today. We will discuss the mathematics & the statistics behind ML models.
In the Case Studies section, we will discuss success and failure stories related to the deployment of AI, with a focus on what we can learn from these experiences.
In the Medical AI section, we will discuss the latest AI stories in the field of medicine.
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