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Individual Perspectives on Success
© 2023 Enterprise Management Associates, Inc. 19
IT vice president
$9 billion financial
services company
“I’m on the right path because we’re doing it right by taking our
time. You can’t just buy something and have it work. Often, people
are struggling to understand what [AIOps] means, and it takes time
to explain it to them even though these are smart people.”
IT operations manager
$15 billion financial services
company
“It’s hard to say if we’ve been successful. We’re still in the
crawl-before-we-walk-and-run phase. Right now, I’d give us a four
or five out of ten because we’re not finished with the deployment
yet. I’m hoping for a seven or eight out of ten once we’re finished.”](https://image.slidesharecdn.com/emaaiopsnetworkingwebinar20230509ss-230808154829-133dabae/75/AI-Driven-Networks-Leveling-Up-Network-Management-19-2048.jpg)
Uploaded byEnterprise Management Associates
AI-Driven Networks: Leveling Up Network Management
The document presents findings from a research report on AI-driven network management, emphasizing the significant belief among IT professionals in its potential to improve business outcomes. Despite 90% of IT pros recognizing AI's benefits, only 30% have successfully implemented AI in network management, highlighting ongoing challenges in evaluation and deployment. The report suggests that to succeed with AI in networking, organizations must build expertise, actively integrate AI into processes, and rely on vendors with deep networking knowledge.
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AI-Driven Networks: Leveling Up Network Management
- 1. | @ema_research AI-Driven Networks: LevelingUp Network Management Shamus McGillicuddy Vice President of Research, Network Infrastructure and Operations Enterprise Management Associates (EMA) smcgillicuddy@enterprisemanagement.com Sponsored by
- 2. | @ema_research 2 Watchthe On-Demand Webinar • AI-Driven Networks: Leveling Up Network Management On-Demand Webinar: https://info.enterprisemanagement.com/ai-driven- networks-webinar-ss • Check out upcoming webinars from EMA here: https://www.enterprisemanagement.com/freeResearch © 2023 Enterprise Management Associates, Inc.
- 3. | @ema_research | @ema_research FeaturedSpeaker Shamus McGillicuddy is a Vice President of Research at Enterprise Management Associates (EMA), where he leads the network infrastructure and operations practice. He has nearly two decades of experience in the IT industry. His research focuses on all aspects of managing enterprise networks, including network automation, AIOps-driven network operations, multi- cloud networking, and WAN transformation. © 2023 Enterprise Management Associates, Inc. 3 Shamus McGillicuddy Vice President of Research Network Infrastructure and Operations
- 4. | @ema_research | @ema_research Sponsors ©2023 Enterprise Management Associates, Inc. 4
- 5. | @ema_research | @ema_research Agenda ©2023 Enterprise Management Associates, Inc. 5 1 2 Research Goals and Methodology How Do You Get AI-Driven Network Management? 3 How AI Benefits Network Engineering and Operations 4 Success with AI is Growing, but Challenges Remain
- 6. | @ema_research Research Goalsand Methodology
- 7. | @ema_research AI HypeWave is Cresting © 2023 Enterprise Management Associates, Inc. 7 | @ema_research
- 8. | @ema_research | @ema_research Dopeople still believe in this tech? Are they doing a better job with it? How did they get there? 90% of IT pros believed AI-driven networking would lead to better business outcomes Only 30% had been completely successful with applying AIOps and AI/ML to network management Updating 2021 Research: Revolutionizing Network Management with AIOps © 2023 Enterprise Management Associates, Inc. 8 findings research goals 2021 2023
- 9. | @ema_research | @ema_research 2023Methodology Survey 250 IT Pros With AI-Driven Network Management Experience © 2023 Enterprise Management Associates, Inc. 9 Top job titles Company size (employees) Annual revenue Top industries 38.4% 500 to 2,499 31.2% 2,500 to 4,999 18.8% 5,000 to 9,999 11.6% 10,000 or more 33.6% IT director 20.4% IT manager/supervisor 11.6% CIO/CTO 8.4% Network engineer 6.0% Network/Systems administrator 5.2% IT vice president 4.4% Network architect 37.2% $50 million to less than $500 million 26.0% $500 million to less than $1 billion 34.0% $1 billion or more 2.8% No revenue/unknown 25.6% Manufacturing 18% Banking/Finance/ Insurance 12.8% Retail 8.8% Healthcare/Hospitals 7.6% Construction/Civil engineering 6.8% Professional/Business services 3.6% Education 3.6% Energy/Utilities IT groups 21.6% CIO suite 20.0% IT tool engineering team 16.2% Network or IT operations 12.0% Cloud operations 10.0% Network engineering 10.0% IT security/cybersecurity 6.0% IT architecture 4.8% Data center operations
- 10. | @ema_research How DoYou Get AI-Driven Network Management?
- 11. | @ema_research | @ema_research SolutionStrategies for Applying AI to Networks © 2023 Enterprise Management Associates, Inc. 11 AI and IT management overall 84% say applying AI to IT management is a high priority • Lower priority = failure with AI-driven networking 94% are allocating budget for applying AI to IT management in general • Budget availability drives success with AI-driven networking
- 12. | @ema_research | @ema_research MostOrganizations Need to Improve How They Evaluate Solutions © 2023 Enterprise Management Associates, Inc. 12 Silo perspectives on ability to evaluate • Network engineering and NetOps teams are pessimistic • CIO’s suite, CloudOps, IT tool engineering teams are optimistic How to evaluate • 56% Explainable AI tools/resources • 52% In-depth conversations with vendors about algorithm development & training • 51% Industry analyst engagement • 49% Vendor content • 49% PoCs ORGANIZATIONAL EFFECTIVENESS WITH EVALUATING AI/ML TECHNOLOGY APPLIED TO NETWORK MANAGEMENT
- 13. | @ema_research How AIBenefits Network Engineering and Operations
- 14. | @ema_research | @ema_research TopUse Cases © 2023 Enterprise Management Associates, Inc. 14
- 15. | @ema_research | @ema_research Datacenter modernization/private cloud Cloud-native applications/app modernization Public cloud/multi-cloud migration Benefits of Using AI-Driven Network Management © 2023 Enterprise Management Associates, Inc. 15 Most common gains AI helps the network team support: 47% Network optimization Network agility Improved security/compliance* Network resiliency Operational efficiency 36% 36% 35% 34% * Experienced by most successful organizations 40% 38% 38% Successful orgs also report IoT and VDI opportunities
- 16. | @ema_research | @ema_research 69%report that AI-driven networking led to at least some improvement in overall end-user experience 92% believe AI-driven networking leads to better business outcomes A Better Network Experience © 2023 Enterprise Management Associates, Inc. 16 Up from 90% in 2021 Warning: enthusiastic agreement has shrunk from 56% to 50% since 2021 24% report this improvement as significant Stronger improvements among most successful users of AI tech Commercial AI/ML and AIOps solutions deliver better results than homegrown AI projects
- 17. | @ema_research Success withAI is Growing, but Challenges Remain
- 18. | @ema_research | @ema_research FullySuccessful Users of AI Increased From 30% to 36% Since 2021 © 2023 Enterprise Management Associates, Inc. 18 Perception gaps: • IT execs 2x as positive as technical personnel • Members of network engineering, IT architecture, CloudOps are more pessimistic than CIO’s suite and IT tool engineering team OVERALL SUCCESS WITH APPLYING AI/ML AND AIOPS TECHNOLOGY TO NETWORK MANAGEMENT THUS FAR
- 19. | @ema_research | @ema_research IndividualPerspectives on Success © 2023 Enterprise Management Associates, Inc. 19 IT vice president $9 billion financial services company “I’m on the right path because we’re doing it right by taking our time. You can’t just buy something and have it work. Often, people are struggling to understand what [AIOps] means, and it takes time to explain it to them even though these are smart people.” IT operations manager $15 billion financial services company “It’s hard to say if we’ve been successful. We’re still in the crawl-before-we-walk-and-run phase. Right now, I’d give us a four or five out of ten because we’re not finished with the deployment yet. I’m hoping for a seven or eight out of ten once we’re finished.”
- 20. | @ema_research | @ema_research AI-DrivenNetworking Pain Points © 2023 Enterprise Management Associates, Inc. 20 30% Security/compliance risk 28% Skills gaps 23% Budget issues 20% Cultural resistance/trust* * Members of network engineering teams twice as likely to select 25% Network complexity* 24% Data issues 23% Interoperability/integration problems 22% Algorithmic training on customer network needs improvement * Members of NetOps teams more likely to struggle Business issues Technical issues
- 21. | @ema_research | @ema_research Tipsfor AI-Driven Networking Success © 2023 Enterprise Management Associates, Inc. 21 Build up expertise around evaluating AI/ML and AIOps – lean on your peers Look for opportunities everywhere: Don’t confine AI to a single network domain Vendors with deep networking expertise are essential (domain-agnostic has limited impact) Don’t let cost influence deployment and administrative approach to AI features If you have it, mandate that you use it Orgs that integrate AI into more processes do better Orgs that only use it after legacy tools/processes fail do worse Embrace chatbots Network assistants ChatGPT?
- 22. | @ema_research | @ema_research TheAI-Driven Networks Research Report is Now Available! Learn more and download https://bit.ly/3VsyzjI © 2023 Enterprise Management Associates, Inc. 22