ADR Awareness Centre

DataRobot delivers AI that maximizes impact and minimizes business risk. Our AI applications and platform integrate into core business processes so teams can develop, deliver, and govern AI at scale.

Learning agents are a shining example of scientific advancement in the field of artificial intelligence.

Artificial Intelligence (AI) systems are designed to mimic human intelligence and decision-making processes, and reasoning is a critical component of these capabilities.

In today's tech-driven world, machines are being designed to mimic human intelligence and actions.

AI has emerged as a critical area of interest to numerous stakeholders across the world.

This document is the first version of the Strategic Research and Innovation Roadmap of the TAILOR project, focussed on Trustworthy Artificial Intelligence through Learning, Optimization and Reasoning.

The main goal of the Handbook of Trustworthy AI (HTAI) is to provide to non-experts, researchers and students, an overview of the problem related to the developing of ethical and trustworthy AI systems.

C3 Generative AI uses agents to retrieve data, analyze information, surface insights, and orchestrate workflows to drive business value.

Heroku is your gateway to building, deploying, and scaling AI-powered applications without the operational complexity. As an AI PaaS, Heroku gives developers the infrastructure, tools, and managed services needed to bring AI apps to life faster.

With Deploy.AI's advanced RAG framework embedded throughout your workflows, you can customize how AI finds and uses your data—ensuring agents always have the right context for accurate, relevant responses.

Explaining AI decisions in in critical sectors like healthcare, autonomous vehicles, and
environmental monitoring is crucial for ensuring safety, trust, and transparency.