Articles

Intellectual property (IP) complexities faced by next-gen AI applications

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

Unlock a more effective approach to ML Observability

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.

As with any technology, ML is not immune to bias and unfairness, which can lead to serious consequences for individuals and communities.

Building vertical-specific copilots with GPT-4

AryaXAI synthetics to resolve critical data gaps, test models at scale and preserve data privacy

Published at MedCity News

Published at AIM Leaders Council

Interview with Unite.AI

Recent developments in US regulations and responsible AI practices

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.

Report by Analytics India Magazine

Understanding and interpreting predictions made by AI models

Published at Analytics India Magazine

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.

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

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.

Published at Analytics India Magazine

By Indiatimes

IBM India is building local solutions through its IBM Cognitive Systems AI Community, for which it has already signed on 25 startups.

Digitisation is not the purview of innovation or technology team only. The whole function has to be taken into cognizance with constant feedback and then digitisation or digital transformation will be successful.

In this article, we look at AI startups in India that have attracted big ticket investments in India in the last 5 years.

Artificial intelligence firm Arya.ai has been helping ICICI Lombard process health insurance claims in under a minute with its deep learning and neural networks platform for customers needing hospitalisation.

Artificial Intelligence technology firm Arya.ai, has been chosen by ICICI Lombard to implement its Deep Learning and Neural Networks platform to cut down processing time for health insurance customers needing hospitalisation

Artificial Intelligence (AI) may seem like a sci-fi but AI machines can do some pretty amazing and impossible stuff which humans will never be able to.

By Rohit Israni, Director Strategic Business Development, AI Programs, Intel® Corporation

By Computer World

By: TechHerald Bureau

By Business World

By Live mint

This report stated that India has proven to be the breeding ground for AI startups due to the ample amount of data available.

By iTECH POST

By Linux insider

By Business insider

By Inc42

By inc42

By Times of India

By: Times of India