In this Q&A, TechMentor speaker Mayuri Lahane outlines the habits, constraints and evaluation practices that can help teams turn AI experimentation into repeatable workflows.

OpenAI launches ChatGPT Images 2.0 with image editing, reasoning, web research, multilingual support, and better text ...

Agentic AI tools present the possibility of substantial efficiency gains for legal teams, but the risks they pose require ...

Discover 10 AI prompt templates for common workplace tasks, from emails to project plans, to boost productivity and ...

Datadog just dropped a new tool designed to stop AI projects from bleeding cash on expensive GPUs. The new GPU Monitoring ...

Salesforce Apex powers the custom logic, automation, and integrations that keep enterprise applications running smoothly, but it demands careful attention to performance, scalability, and security.

Compare Data Scientist vs Machine Learning Engineer roles in India 2026. Explore salary, skills, career paths, and find which ...

A former Snowflake data scientist who refined multi-billion-dollar forecasts is now building AI models that outperform Claude ...

TL;DR AI risk doesn’t live in the model. It lives in the APIs behind it. Every AI interaction triggers a chain of API calls across your environment. Many of those APIs aren’t documented or tracked.

Treasure AI, the agentic experience platform for brands to acquire, retain, and grow their most valuable customers 24/7, today announced a landmark evolution of its brand and platform. Treasure AI is ...

The real AI risk isn't job loss. It's wasted investment. Companies are spending heavily on technology that isn't changing how ...

A practical guide to Perplexity Computer: multi-model orchestration, setup and credits, prompting for outcomes, workflows, ...