1、The 2025 Outlook on Generative AI Insights for Business Leaders&ExecutivesRandall Hunt,CTOGuille Ojeda,Cloud Software ArchitectAnat Fraenkel,GenAI Program LeaderMelissa Leide,Lead Experience DesignerIntroductionKey Developments of 2024Focus Areas for 2025Core Trends and PredictionsAgentic Architectu

2、resOptimization for Cost,Performance,and SecurityMultimodal AI and Data ProcessingEvolving Search and Discovery TechnologiesProducts Over ModelsDecentralized AI and Federated LearningAI Governance&LLMOpsGenerative AI UI/UXShould You Build or Buy Generative AI Solutions?Case StudiesMulti-Agent System

3、s in Enterprise WorkflowsAgentic AI-Powered Voice ServiceLooking ForwardLets Get Started030405060607080910111214161717181920Table of Contents2025 Outlook on Generative AI|02The generative AI landscape has fundamentally shifted from experimental technology to enterprise-ready solutions that drive mea

4、surable business value.Modern generative AI systems demonstrate sophisticated capabilities in orchestrating complex tasks,processing multiple types of data,and adapting to specific business contexts while maintaining robust security and governance frameworks.Enterprise adoption of these technologies

5、 continues to accelerate,with Gartner projecting that 33%of enterprise software applications will incorporate agentic AI capabilities by 2028,up from less than 1%in 2024.Organizations implementing these systems report significant operational improvements,with some saving 70%of analysts time by autom

6、ating manual data retrieval.This whitepaper provides enterprise leaders with a practical framework for implementing generative AI technologies,focusing on cost optimization,operational excellence,and responsible development.Drawing from real-world implementations and industry research,we examine key