These days, it can feel as though nothing makes the news unless artificial intelligence is part of it.

The transformation is becoming visible even in the art world. Liminal, an exhibition by French artist Pierre Huyghe at the Leeum Museum of Art, features a video work depicting a faceless human figure whose movements and gaze are determined by AI analyzing sensor data in real time. Moving beyond an era of technological reproduction, AI is now creating entirely new experiences at the intersection of emotion, creativity, and artistic aura.

Robotics is advancing just as rapidly. The Helix robot, powered by a Vision-Language-Action (VLA) model, can understand language and recognize objects much like humans do, while multiple robots have demonstrated the ability to work together to organize a kitchen.

China’s Manus, described as a “second DeepSeek moment,” is similarly demonstrating the emerging potential of AI agents. Without human intervention, it can analyze résumés and identify suitable candidates or produce reports on the New York real estate market, illustrating the emerging possibilities of AI agents.

At the center of these developments is the AI platform. At the EMTech AI conference hosted by MIT Technology Review, OpenAI demonstrated an AI agent that completed tasks step by step, seeking human approval at each stage. AI is moving beyond simple automation toward a new model of work built around collaboration between humans and machines.

The beauty industry has been quick to embrace this shift. In April, Estée Lauder partnered with Microsoft to establish an AI Innovation Lab focused on applying generative AI to prestige beauty product development. The company is building an internal chatbot based on Retrieval-Augmented Generation (RAG) that can search corporate data, generate reports for product research and development and marketing strategy, and personalize campaigns. Combined with an Azure AI-powered voice-enabled makeup assistant, these initiatives illustrate how AI platforms are evolving beyond technology deployments to become a core component of business strategy.

So What Exactly Is an AI Platform?

An AI platform is not simply a place to host AI models. It is an integrated environment for building and operating AI models, from data collection and preprocessing to model development, training, and deployment. More broadly, it provides the technological foundation through which businesses can apply AI to their operations and create new forms of value.

How Does an AI Platform Differ From a Data Platform?

A data platform is the underlying system for storing, managing, and processing data. Through data warehouses (DW), big data repositories, streaming environments, and other infrastructure, it reliably supplies the information required by AI and analytics systems. An AI platform, by contrast, uses that data to develop and operate AI models, generative AI models, and AI agents.

Ultimately, future competitiveness will depend on the seamless integration of these two platforms. The data platform provides a reliable foundation of diverse information, while the AI platform learns from and analyzes that information to create new AI-powered services. Data warehouses, big data repositories, and vector databases supply the underlying data; the AI platform then uses it to build the AI models and agents that businesses need.

The wave of AI developments we are witnessing today is only the beginning. AI platforms have become a foundational technology shaping this new world. Yet as companies fine-tune their own AI models and seek to embed their own identities into them, the most important ingredient remains data.