The Future of IT Operations in the AI Era
1,200 leaders and technical specialists share their views on AI in IT operations (AIOps), including challenges, tools, standards, and strategies.
Riverbed Global Survey
How AI is Reshaping IT Operations
Momentum and enthusiasm continue to build around the promise of AI, as it transforms IT operations – automating complex tasks, enabling split-second decisions, and enhancing digital experiences across the enterprise. This research explores the state of AI readiness – the opportunities, challenges, and strategies, as well as current and future trends in tools consolidation, unified communications, OpenTelemetry, and the movement and sharing of AI data.
The Future of IT Operations in the AI Era
In-depth views from 1,200 global business leaders and technical specialists on the current and future state of IT Operations and the impact of AI. Our new research reveals the realities and gaps; key learnings; where the market is going in the future, and strategies for AI success.
Insights: AI Impact on IT Operations
What are the gaps hindering AI-Readiness? Are organizations consolidating their observability tools and vendors and why? How satisfied are respondents with their Unified Communications tools and how important is OpenTelemetry to an observability and AI strategy?
View Global Report
View Full Report
View Infographic
AI-Readiness Gaps
Eliminating Tool Sprawl
Resilient Unified Communications
OpenTelemetry Standard
AI Demands High Network Performance
59%
are confident in their AIOps strategy, an increase in 7 points year-over-year
But only one in ten AI projects have been fully deployed
96%
say they are consolidating tools & vendors
62%
of business & IT leaders believe a unified platform is very important to their consolidation strategy
On average, organizations use 13 observability tools from 9 different vendors
of the work week is now spent on UC tools by both leaders & technical specialists
Cost efficiency (95%), security and compliance (94%), and network performance (94%) are the top three considerations for effective AI data movement
AI-Readiness Gaps
Eliminating Tool Sprawl
Resilient Unified Communications
OpenTelemetry Standard
AI Demands High Network Performance
Survey Highlights in Under 2 Minutes
Enthusiasm for AI is high
Organizations have doubled their investment in AI in the last year
Consolidating ITOps Tools and Vendors is a Top-Priority
Unified Communications (UC) is Mission-Critical
OpenTelemetry (OTel): An Emerging Standard for Observability
Scalable AI Data Movement Across IT Infrastructure
87%
of respondents say ROI on AIOps initiatives has met or exceeded expectations
considering new vendors
93%
However, only 46% are very satisfied with UC performance
have fully implemented the standard
41%
confirm cross-domain OTel correlation is critical to their observability strategy
95%
agree that OTel helps reduce vendor lock-in and increases flexibility
98%
plan to establish a dedicated AI data repository strategy by 2028
75%
say moving/sharing AI data is critical or important to their AI strategy
91%
-Title
-Heading 1
-Heading 3
- Heading 4
Body 1
Body 2
-Body 3
Heading 2
-Body 4
42%
The data suggests UC-related issues may be the #1 source of IT help desk tickets
of all IT tickets are UC-related issues, each taking, on average, 43 minutes to resolve
15%
say their organization has implemented or begun implementing OpenTelemetry (OTel)
88%
Get The Full Report
AI Demands High Network Performance
AI Demands High Network Performance
AI Demands High Network Performance
AI Demands High Network Performance
AI Demands High Network Performance
AI Demands High Network Performance
AI Demands High Network Performance
AI Demands High Network Performance
AI Demands High Network Performance
AI Demands High Network Performance
AI Demands High Network Performance
AI Demands High Network Performance
AI Demands High Network Performance
AI Demands High Network Performance
AI Demands High Network Performance
AI Demands High Network Performance
AI Demands High Network Performance
AI Demands High Network Performance
AI Demands High Network Performance
AI Demands High Network Performance
