1、The Enterprise AI Roadmap:How the AI development platform landscape has transformed,changing how buyers assess ROI,use cases,and moreWe mined CB Insights data and spoke with 50+buyers of AI development platforms including Databricks,Hugging Face,and Scale AI to understand how theyre deploying AI mod

2、els,what theyre paying,and what the future holds for the landscape.No company wants to miss out on AI.As commercial applications of AI scale rapidly amid the generative AI boom,enterprises are racing to overhaul their infrastructure to support the deployment and management of these advanced models.E

3、nterprise buyers are increasingly turning to AI development platforms for their AI needs.AI development platforms enable enterprises to manage the AI lifecycle from data preparation,training,and validation to model deployment and continuous monitoring through a single platform.The landscape features

4、 a mix of enterprise machine learning(ML)players(H2O.ai,DataRobot),big tech products(Google Cloud Vertex AI,Amazon SageMaker and Bedrock),as well as emerging AI developer tools(Predibase,Lightning AI).Source:CB Insights AI development platforms marketPlatforms are now under intense pressure to adapt

5、 their offerings for the genAI era and capture more enterprise AI spend,enabling enterprises to leverage the power of foundation models.We mined CB Insights valuation,headcount,and financing data,as well as 50+buyer interviews,to map the evolving landscape and analyze its future.Below well cover:1.T

6、he AI development platform market landscape2.How enterprise buyers are evaluating the ROI of their AI tool spend3.The future of enterprise AI development4.Sample buyer case studies by industry The Enterprise AI Roadmap|2ContentsGenAI is changing the AI development landscape 4The AI development platf