Rohit Gupta's contributions

Learn what Polygon OMS is and how developers build secure, low-cost payment systems on Polygon using OMS, smart contracts, and enterprise-ready workflows.

Learn what stablecoins, ACH, and wire transfers are, how business payments work across each, and how Polygon OMS delivers faster, cheaper, programmable settlement for modern enterprises.

Learn what Polygon OMS is and how its architecture and compliance model support secure, scalable cross-border B2B payments using blockchain technology.

Learn what the Polygon Open Money Stack is and how it enables scalable, low-cost global stablecoin payments for enterprises, fintechs, and developers.

Learn what Cosmos Transfer 2.5, Cosmos Predict 2.5, Cosmos Reason 2, and Isaac GR00T N1.6 are and how to use them together for synthetic data generation, world prediction, embodied reasoning, and robot policy training.

Learn what Cosmos Reason 2 is and how NVIDIA’s reasoning vision-language model helps AI see, understand, and act in the physical world, with practical workflows, integration patterns, and deployment tips.

Learn what Cosmos Transfer 2.5 is, how NVIDIA’s world model generates photorealistic synthetic data, and why it matters for physical AI and robotics training.

Learn what AlphaSim is and how to use it step by step to build, simulate, and validate autonomous vehicle AI using NVIDIA’s open-source framework.

AlphaSim is NVIDIA's open-source framework for simulating and validating autonomous driving systems with high-fidelity sensors, configurable scenarios, and closed-loop testing.

Learn what Alpamayo 1 is and how to use Nvidia’s vision-language-action model step by step, from setup and inference to simulation, reasoning analysis, and integration workflows.

Learn what Alpamayo 1 is, how Nvidia’s AI model brings reasoning and vision-language-action to self-driving cars, and why it marks a shift toward transparent, human-like autonomy.

Learn what PeerDAS is on Ethereum and how it uses data availability sampling, erasure coding, and peer-to-peer custody to scale rollups without raising node requirements.

Learn what agentic AI use cases are and how to apply them across DevOps, IT, Sales Ops, and HR to generate qualified leads, shorten cycles, and prove ROI with governed automation.

Learn what Agentic ROI is and how C-suite leaders measure what matters most. This guide explains how to connect agentic systems to revenue, pipeline growth, and lead generation outcomes.

Learn what enterprise safety for AI agents means and how to implement governance, guardrails, and risk controls to deploy agents securely, compliantly, and at scale.

Learn what zero-touch workflows are and how to connect CRM and ERP systems using Agentic AI to reduce cost, eliminate manual work, and accelerate enterprise operations.

Learn what AI agents are and how to build scalable, business-ready agents using LangChain, n8n, and AutoGen to automate workflows, reduce costs, and drive lead generation.

Learn what Multi-Agent Systems (MAS) are and how businesses orchestrate intelligent agents to automate decisions, scale operations, and unlock competitive advantage.

Learn what business agent architecture is and how to build it with key components, governance, security, and operating metrics to deliver reliable ROI from AI agents in the enterprise.

Discover what agentic AI is and how it will initially disrupt industries, with a business-ready framework to prioritize sectors, quantify value, manage risk, and facilitate adoption.

Learn what autonomous agents are and how their decision-making fails in real business environments, including strategic, operational, and governance limits.

Learn what world modeling in AI is and how it works end-to-end, including core architectures, training loops, planning, evaluation, and practical deployment patterns.

Learn what complex problems only AI agents can solve and how businesses can deploy agents beyond chatbots to automate decisions, workflows, and outcomes.