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Article
EU AI Act is here: How can organizations stay compliant
The world's first comprehensive AI law the European Artificial Intelligence Act (AI Act) entered into force on 1st August 2024. The act establishes a comprehensive framework for the responsible and ethical development, deployment, and use of AI technologies.
AI Policies and Regulations
AI regulation
Article
Maximizing Machine Learning Efficiency with MLOps and Observability
As organizations navigate real-world complexities, it is essential to prioritize both MLOps and observability to create a solid foundation for building, maintaining, and scaling trustworthy ML models.
ML Observability
MLOps
Article
Synthetic ‘AI’ vs Generative ‘AI’: Which one to use to strengthen data engineering in machine learning
In the world of machine learning, data is the cornerstone of building robust models. Synthetic AI and Generative AI are already making waves, reshaping various industries and creative processes. In this blog, we will delve into the nuances of Synthetic AI and Generative AI highlighting their distinctions and potential applications.
AryaXAI Synthetics
Synthetic data
Generative AI
Article
Decoding the EU's AI Act: Implications and Strategies for Businesses
Discover the latest milestone in AI regulation: the European institutions' provisional agreement on the new AI Act. From initial proposal to recent negotiations, explore key insights and actions businesses can take to prepare for compliance. Get insights into actions organizations should take to get ready.
AI Policies and Regulations
Trustworthy AI
Explainable AI
AI governance
Article
Privacy Preservation in the Age of Synthetic Data - Part II
Anonymeter, details of Anonymity Tests Using AryaXAI, and case study analysis
Synthetic data
Trustworthy AI
Article
Privacy Preservation in the Age of Synthetic Data - Part I
Necessity of privacy risk metrics on synthetic data post-generation
Synthetic data
Trustworthy AI
Article
AI Broadcast Series #3: IP & copyright challenges for ‘AI’ solutions and the future of ‘AI’ regulations
Intellectual property (IP) complexities faced by next-gen AI applications
AI broadcast series
ChatGPT
IP in AI
Intellectual Property
Article
AI Broadcast Series #2: Why so much hype around AI Hardware? Going beyond Nvidia
Key factors influencing the growth trend in AI hardware, the growth of GPUs, companies and products in the market and the future of AI hardware
AI hardware
AI broadcast series
Article
AryaXAI Synthetics: Delivering the promise of ML observability
Unlock a more effective approach to ML Observability
AryaXAI Synthetics
Synthetic data
Article
AI Broadcast Series #1 - What's next after ChatGPT in Banks, Insurers and financial services?
Delve into the world of ChatGPT and Generative AI, examine how the narrative around generative AI evolves and how businesses can stay ahead by adapting to the current advancements and anticipating future developments.
ChatGPT
Large language model (LLMs)
Tutorials
How to build Copilot using GPT4
Building vertical-specific copilots with GPT-4
ChatGPT
Copilots
Article
AryaXAI Synthetics: Using synthetic ‘AI’ to compliment ‘ML Observability’
AryaXAI synthetics to resolve critical data gaps, test models at scale and preserve data privacy
ML Observability
Synthetic data
AryaXAI Synthetics
Article
Can We Build a Trustworthy ‘AI’ While Models-As-A-Service (MaaS) Is Projected To Take Over?
Published at MedCity News
Explainable AI
Trustworthy AI
Article
The Fault in AI Predictions: Why Explainability Trumps Predictions
Published at AIM Leaders Council
Explainable AI
News
Vinay Kumar Sankarapu, Co-Founder & CEO of Arya.ai – Interview Series
Interview with Unite.AI
Company News
ML Observability
Article
Singapore Guidelines on Artificial Intelligence: How Singapore Policies Impact the future of AI
The concerns around AI usage have rushed governments around the world to formulate legal frameworks to control and govern AI and its impacts, including Singapore.
AI Policies and Regulations
Article
Artificial Intelligence and Its Regulatory Landscape: US Readies for a New AI Bill of Rights and Regulations
Regulatory and legal frameworks, although still catching up with AI, are thoroughly changing the regulatory landscapes. In October, 2022, the White House Office of Science and Technology Policy (OSTP) unveiled its Blueprint for an AI Bill of Rights.
AI Policies and Regulations
Article
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.
AI Policies and Regulations
Article
The AI black box problem - an adoption hurdle in insurance
Explaining AI decisions after they happen is a complex issue, and without being able to interpret the way AI algorithms work, companies, including insurers, have no way to justify the AI decisions. They struggle to trust, understand and explain the decisions provided by AI. So, how can a heavily regulated industry, which has always been more inclined to conservatism than innovation, start trusting AI for core processes?
Explainable AI
Trustworthy AI
Article
ML observability vs ML monitoring: The tactical/ strategic paradox
Published at Analytics India Magazine
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Article
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.
ML Observability
ML Monitoring
Article
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
Explainable AI
ML Observability
Article
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.
Explainable AI
ML Observability
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