"The next frontier in AI technologies is going to be Physical AI. Retrieval Augmented Generation (RAG) has become a commodity lately with increasing adoption of RAG based solutions in enterprise applications. A shift is occurring from AI being an assistant to AI being a co-creator of the software. We're not just writing code faster, we're entering a phase where the entire application can be developed, tested and shipped with the AI as part of the development team. AI driven DevOps processes and practices are getting a lot of attention this year."
"An important part of the annual trends report is the trends graph, which shows what trends and topics have made it to the innovators category and which ones have been promoted to early adopters and early majority categories. The categories are based on the book, Crossing the Chasm, by Geoffrey Moore. At InfoQ, we mostly focus on categories that have not yet crossed the chasm. Here is this year's graph:"
Physical AI is emerging as the next frontier of AI technologies. Retrieval Augmented Generation (RAG) has become widely adopted and is increasingly treated as a commodity in enterprise solutions. AI is transitioning from an assistant role to a co-creator role in software development, enabling applications to be developed, tested, and shipped with AI as part of the development team. AI-driven DevOps processes and practices are gaining significant attention. Human-computer interaction efforts must map engineering goals to true human needs and real-life fit. New interoperability protocols like Model Context Protocol (MCP) and Agent-to-Agent (A2A) are enabling integration between AI clients, agents, and backend systems.
#physical-ai #retrieval-augmented-generation #ai-driven-devops #human-computer-interaction #interoperability-mcpa2a
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