1、From AI excitement to enterprise action 03IntroductionIT infrastructure meets AI challenges06Chapter 1Address the skills gap with automation and AI10Chapter 2Turn intelligence into action using automation12Chapter 3Lay the foundation for AI success with automation20Learn moreRed Hats strategic appro

2、ach to automation and AI15Chapter 423From AI excitement to enterprise action Introduction1.Infrastructure readiness3.Confidence in acting on AI AI is no longer a futuristic ambitionits a present day priority.Across every industry,organizations are striving to capitalize on the potential of AI to imp

3、rove decision making,automate repetitive work,personalize experiences,and foster innovation.But while the enthusiasm is growing,readiness is not.In fact,97%of global executives say theyre excited about AI and plan to incorporate it into their operations,yet only 2%feel their organizations are prepar

4、ed to deploy AI effectively.Whats holding organizations back?Scaling AI for enterprise presents many challenges,but 3 key considerations require attention from all organizations:Answering these questions can help assess how prepared your organization is to scale AI.It can also determine if you have

5、the foundational technology and governance in place to support your AI projects and the teams that build and manage them at scale.Is your IT infrastructure(including networks,storage,data,monitoring,load balancers,and applications)fully connected and optimized for AI workloads?Is it automated and re

6、silient for scaling of AI workflows,while integrating all tools?2.Fast response to alerts and conditionsOnce your AI and observability tools trigger events,do you have automated response and remediation in place to resolve them?Are you confident in your ability to control the automation thats runnin