AI agents are everywhere—but most are just demos, not production-ready. CIOs face decision fatigue as they seek agents that deliver autonomy, trust, and real ROI. Simplicity & integration will define the winners. Read more: 👉 https://t.co/RY7QtmjWKe #AI #GenAI #AIagents
The AI revolution everyone's talking about hasn't started yet. The true platform shift – autonomous, agentic apps – will precipitate a complete changing of the guard in infrastructure, tools, and software systems built during the previous cycle. A thread on what's coming...
Most AI tools reply fast but fall short on experience. Agentic AI is different: 🔍 Detects behavior patterns 🚀 Creates smooth customer journeys 🤝 Feels human It’s CX that connects. 🔗 https://t.co/762Izv0f4I #CX #AgenticAI #CustomerExperience #AI https://t.co/hr4brdtjxR
A recent surge in funding for agentic AI startups has raised a total of $52 million, highlighting a growing interest in autonomous AI applications. These innovations are expected to enhance customer service by improving satisfaction and streamlining workflows, with projections indicating a potential market worth $47 billion by 2030. The focus on agentic AI comes two years after the introduction of ChatGPT, which ignited interest in conversational AI. New tools from companies like OpenAI and xAI are pushing the boundaries of what autonomous agents can achieve, performing tasks such as research and coding with minimal human intervention. As the landscape evolves, CIOs are faced with the challenge of selecting production-ready AI agents that offer autonomy, trust, and return on investment, amidst a plethora of demo versions available in the market.