The appliedAI Management Suite enables businesses to identify, evaluate, and prioritize AI projects while ensuring compliance with the EU AI Act.
STX Next, a global leader in IT consulting, has joined forces with appliedAI, Europe’s largest applied AI initiative, to deliver this innovative management tool. The suite enhances AI value creation and streamlines compliance with the EU AI Act, simplifying risk assessment and AI portfolio optimization to drive the next generation of AI advancements.
Featuring a centralized dashboard, the suite aims to boost return on investment while reducing the time, resources, and costs associated with compliance. It provides clear guidance on regulatory requirements, aiding AI and legal teams in navigating the complex AI landscape. The goal is to position Europe as a leader in AI and a strong competitor on the global stage.
The suite includes tools such as a feasibility calculator that assesses factors like data readiness and model deployment on a scale of 1-5. It also features a risk classifier for early-stage AI use cases, helping to refine and adjust potential solutions.
Designed to integrate with existing IT infrastructures, the suite supports data management and analysis from various sources, including MLOps platforms, experiment-tracking tools, and data catalogs.
STX Next and appliedAI developed the suite using technologies like Python, Django, Kubernetes, and Google Cloud. The partnership leverages STX Next’s extensive software development expertise and comprehensive AI experience.
Ronald Binkofski, CEO of STX Next, commented: “Since the EU AI Act’s introduction in March 2024, businesses have sought efficient ways to manage AI projects for compliance and value maximization. The new regulations ensure AI systems in the EU are safe, transparent, traceable, non-discriminatory, and environmentally friendly, presenting significant challenges. Our collaboration with appliedAI reflects our commitment to advancing responsible innovation. This partnership will streamline the establishment of new AI projects and contribute to a safer, fairer future for AI, enabling projects to achieve their full potential.”
