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Government’s New Directive: Tech Companies Must Seek Permission Before Launching AI Models in India

Analytics Vidhya

Introduction In a significant development, the Indian government has mandated tech companies to obtain prior approval before deploying AI models in the country.

Modeling 283
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OpenAI CEO Urges Lawmakers to Regulate AI Considering AI Risks

Analytics Vidhya

He took a moment to express his apprehension about the risks associated with increasingly powerful models. He […] The post OpenAI CEO Urges Lawmakers to Regulate AI Considering AI Risks appeared first on Analytics Vidhya.

Risk 281
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ML Model Predicts Insomnia With Considerable Accuracy

Analytics Vidhya

Imagine a world where predicting a patient’s risk of developing insomnia or other sleep disorders becomes as simple as analyzing their demographic, lifestyle, and health data. Thanks to an innovative medical study, we can now use Machine Learning (ML) models to predict insomnia accurately.

Modeling 268
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Gen AI without the risks

CIO Business Intelligence

Developing and deploying successful AI can be an expensive process with a high risk of failure. Six tips for deploying Gen AI with less risk and cost-effectively The ability to retrain generative AI for specific tasks is key to making it practical for business applications. The possibilities are endless, but so are the pitfalls.

Risk 132
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Trusted AI 102: A Guide to Building Fair and Unbiased AI Systems

The risk of bias in artificial intelligence (AI) has been the source of much concern and debate. Numerous high-profile examples demonstrate the reality that AI is not a default “neutral” technology and can come to reflect or exacerbate bias encoded in human data.

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CIOs weigh where to place AI bets — and how to de-risk them

CIO Business Intelligence

Amid the turbulence of AI, technologies are emerging rapidly, startups are clamoring for attention, and hyperscalers are scrambling to corral market share. Brian Hopkins, vice president for emerging technology at Forrester Research, agrees. There are a lot of risks and a lot of land mines to navigate,” says the analyst.

Risk 133
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What is Model Risk and Why Does it Matter?

DataRobot Blog

With the big data revolution of recent years, predictive models are being rapidly integrated into more and more business processes. This provides a great amount of benefit, but it also exposes institutions to greater risk and consequent exposure to operational losses. What is a model?

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New Buyer's Guide for Supply Chain Network Design

Many companies are looking to redesign their supply chain network to lower costs, improve service levels and reduce risks in the new year. Scenario modeling is emerging as a key capability. The Current Technology Landscape: Perceptions on network design technology. What’s inside?

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LLMOps for Your Data: Best Practices to Ensure Safety, Quality, and Cost

Speaker: Shreya Rajpal, Co-Founder and CEO at Guardrails AI & Travis Addair, Co-Founder and CTO at Predibase

Large Language Models (LLMs) such as ChatGPT offer unprecedented potential for complex enterprise applications. However, productionizing LLMs comes with a unique set of challenges such as model brittleness, total cost of ownership, data governance and privacy, and the need for consistent, accurate outputs.