Blog

Blog
March 14, 2023
AryaXAI Synthetics: Using synthetic ‘AI’ to compliment ‘ML Observability’
AryaXAI synthetics to resolve critical data gaps, test models at scale and preserve data privacy

Blog
January 25, 2023
Can We Build a Trustworthy ‘AI’ While Models-As-A-Service (MaaS) Is Projected To Take Over?
Published at MedCity News

Blog
January 23, 2023
The Fault in AI Predictions: Why Explainability Trumps Predictions
Published at AIM Leaders Council

Blog
October 27, 2022
Artificial Intelligence and Its Regulatory Landscape: US Readies for a New AI Bill of Rights and Regulations
Recent developments in US regulations and responsible AI practices

Blog
October 14, 2022
AI Regulations & Laws In India: A Step Towards Ethical AI Use
While there has been profound focus on development of AI and its applications, the Indian Government is now speeding up to formulate laws, policies and clear guidelines for regulating and governing AI.

Blog
August 29, 2022
The AI black box problem - an adoption hurdle in insurance
Understanding and interpreting predictions made by AI models

Blog
August 29, 2022
ML observability vs ML monitoring: The tactical/ strategic paradox
Published at Analytics India Magazine
.png)
Blog
August 26, 2022
ML Observability: Redesigning the ML lifecycle
While businesses want to know when a problem has arisen, they are more interested in knowing why the problem arose in the first place. This is where ML Observability comes in.

Blog
August 24, 2022
Deep dive into Explainable AI: Current methods and challenges
As organizations scale their AI and ML efforts, they are now reaching an impasse - explaining and justifying the decisions by AI models. Also, the formation of various regulatory compliance and accountability systems, legal frameworks and requirements of Ethics and Trustworthiness, mandate making AI systems adhere to transparency and traceability

Blog
August 18, 2022
AryaXAI - A distinctive approach to explainable AI
With packaged AI APIs in the market, more people are using AI than ever before, without the constraint of compute, data or R&D. This provides an easy entry point to use AI and gets users hooked for more. However, the first legal framework for AI is here! One of the many mandates in the proposal is to make AI systems adhere to transparency and traceability. These additional requirements highlight the ever-increasing need for Explainable AI.
See how Arya helps scale
AI in your organization
Learn how to strategise and deploy AI, explore relevant use cases for your team, and get pricing information for Arya.ai products.