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 Gen AI section, we will discuss the latest AI stories in the field of Large Language Models.


Our Latest Blog Posts

Gen AI adoption: Is your budget ready?
As the adoption of Generative AI in the enterprise accelerates, one question …
The ‘Ops’ in the GenAI World
The world of AI and its operational cousins can feel like an …
Ethics at the Forefront: Navigating the Path at frontier of Artificial General Intelligence
While we may want to cautiously avoid the term Artificial General Intelligence …
AI – Standards, Guidelines, Frameworks – an Overview
With the release of ISO/IEC 42001:2023, there has been a noticeable excitement …

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