EMA AIOps Radar: A Guide to Investing in Innovation

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AIOps Radar: A Guide to
Investing in Innovation
Dennis Drogseth
Emeritus VP of Research
Enterprise Management Associates (EMA)
Dan Twing
President and COO
Enterprise Management Associates (EMA)

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Webinar: https://info.enterprisemanagement.com/ema-aiops-radar-
2024-webinar-ss
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© 2023 Enterprise Management Associates, Inc.

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Webinar Speakers
Dennis joined EMA in 1998 and brings several decades
of experience in various aspects of marketing and
business planning for service management solutions.
He supports EMA through leadership in IT service
management (ITSM), CMDB systems, and megatrends
like advanced operations analytics, cross-domain
automation systems, IT-to-business alignment, and
service-centric financial optimization.
Dan joined EMA in 2005 and has over 25 years of
experience in information systems, software
development, and technology outsourcing. He focuses
on all aspects of intelligent and automated
management of IT. As President and Chief Operating
Officer of EMA, Dan is responsible for developing and
executing strategic market research, delivering value
to IT organizations through consulting engagements,
and directing product developments and marketing
efforts.
© 2024 Enterprise Management Associates, Inc. 3
Dennis Drogseth
Emeritus VP of Research
EMA
Dan Twing
President and COO
EMA

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Agenda
Methodology What
Questions
Should You
Ask Before
Investing?
Who Did We
Select and
Why?
Three Critical
Use Cases
Game-
changing
Trends
AIOps and
Adoption
Thoughts
1 2 3 4 5 6

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AIOps Radar Methodology in Six Steps
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Final reviews and report generation in February 2024
6
Analyzing the results in December 2023 and
developing the profiles in January 2024
5
Interviewing customers to validate vendor
claims—with 21 interviews in total
4
Reviewing vendor inputs in a series of digital
and conversational interactions
3
Developing weightings to different questions to
support the generation of KPIs, pentagons, and
Radar Chart positioning
2
Sharing a 31-page questionnaire with vendors for
briefings and updates
Deployment and Administration, Cost Advantage,
Architecture, Functionality, Vendor Strength
1

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What Questions
Should You Ask
Before Investing?

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What is AIOps?
Advanced levels of integrated automation to facilitate
communication and action
Potential use as a strategic overlay to assimilate or consolidate
multiple monitoring and other toolset investments
Assimilation of data from cross-domain sources in high data
volumes
Support for a wide range of advanced heuristics, such as
multivariate analysis, machine learning, streaming data, tiered
analytics, cognitive analytics, and generative AI
Capabilities for self-learning to deliver predictive, prescriptive,
preventative, and if/then actionable insights
An intelligent/analytical
overlay with evolving
capabilities to support
performance, change, and
business impact—all with an
eye to unique deployment
requirements and objectives.

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About You
How can they be measured?
Monitoring, configuration, change management, ITSM, business
process management… and the list goes on
What roles need support as direct users? (operations, ITSM,
development, SREs, etc.)
Who are the indirect users profiting from the information (business
stakeholders, customer experience management, etc.)
Data management,
administration, strategic
planning, etc.
What are your core
objectives?
Who’s involved?
What are your skills and
resources?
What Tools may already play a role?

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About Them—Your Vendor Selection
Does that match your needs/ what you have in place?
Who are they most successful with and why?
Has their customer base grown?
What roles do they serve?
What is their history with
other customers?
What is their time to value?
What are their fully
supported integrations?
What data can they
natively consume?
What is their ongoing
administrative overhead?
What use cases are they
most effective in?

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What are their analytic capabilities? How are they shared, visualized, and brought
into action?

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Who Did We Select
and Why?

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Aisera, BigPanda, Broadcom, CloudFabrix
Aisera is a highly adaptive AIOps vendor with a creative approach to
advanced analytics, along with low cost, minimal administrative overhead,
and fast time to value.
The BigPanda Operational Intelligence and Automation Platform is optimized
to improve incident management and customer experience.
Broadcom’s AIOps and Observability suite is designed for enterprise-size
deployments seeking to bring IT and business performance together in new
and creative ways.
CloudFabrix’s Robotic Data Automation Fabric is a data-centric AIOps
platform with unique asset intelligence and broad AI capabilities that can
support a wide range of stakeholders.

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Digitate, Dynatrace, IBM, Interlink
Digitate’s ignio AIOps is a SaaS-based, domain-agnostic platform, leveraging a
wide range of AI and in-depth capabilities for automation to support IT
operations, ITSM, DevOps, and business stakeholders.
Dynatrace is a fast-growing AIOps innovator with an all-in-one analytics and
automation platform to support what it describes as “answer-driven AIOps.”
IBM’s AIOps and observability suite delivers intelligent AI-powered correlation
and automation. IBM’s breadth of options gives its customers both choice and
versatility.
Interlink’s AIOps & Observability Platform is an integrated solution that offers its
customers a “Single System of Engagement” with a focus on industries where IT
services critically impact business outcomes.

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OpenText, PagerDuty, ScienceLogic, ServiceNow, Splunk
Operations Bridge (OpsBridge) Ultimate delivers a breadth of role-aware
capabilities that make it an effective unifier across IT while also aligning IT with
the business.
PagerDuty presents itself as a “system of action” rather than a “system of
record,” with a clear focus on events generated by multiple toolsets across the
entire application infrastructure.
ScienceLogic SL1 is a richly assimilative AIOps platform covering the full
application/infrastructure as aligned with business service performance.
ServiceNow IT Operations Management (ITOM) and ServiceNow Cloud
Observability strongly complement the vendor’s revolutionized IT service
management (ITSM) capabilities.
Splunk brings ITOps, DevOps, security, engineering teams, and business
stakeholders together through its capabilities in observability, analytics, and
automation

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Three Critical
Use Cases

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Performance & Availability

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Change Management &
Capacity Optimization

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Business Alignment/Business
Outcomes

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Game-changing
Trends in Recent
Years

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What Deployment Options Do You Support? – The Move to SaaS and Hybrid

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Time for ROI Edged Forward from 2020 to 2023
0%
6%
53%
12%
18%
15%
15%
54%
8%
15%
Less than 1 week
Two weeks to one month
Less than 3 months
Less than 6 months
Less than 9 months
2020 2023

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But Required Full-Time Employees Showed a Slight Increase, as More People
Became Engaged with More Functionality in Play
18%
24%
18%
29%
0%
12%
8%
15%
23%
38%
15%
0.25-0.5 FTEs
0.5-1 FTEs
1-1.5 FTEs
1.5-2 FTEs
2-2.5 FTEs
2.5-3.0 FTEs
2020 2023

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How Many Different Monitoring or Other Tools Can You Support Out-of-the-Box? –
There’s real Growth Here!

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Data Volumes Have Increased Significantly: How Much Data (events, metrics, etc.)
Can You Effectively Assimilate Within 5 Minutes?
6%
6%
18%
41%
12%
18%
15%
40%
30%
8%
8%
10K- 50k
100-500K
500K- 1 million
1-10 million
10-50 million
50-100 million
2020 2023
50-100K
1-10 million
10-50 million
50-100 million
More than 100 million

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Data Assimilated Through Third-Party Integrations: Observability Is Playing a
Growing Role

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Change Tracing Capabilities Show Some Decline

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Support for Automation Moved Forward
With an Average of 18 Automation Options per Vendor
94%
94%
94%
88%
88%
100%
100 %
100 %
100 %
100 %
Workflow within and across IT
Alert-driven notification
Incident team communication
Automated event remediation
Automated trouble ticketing
2020 2023

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OpenTelemetry and Generative AI
OpenTelemetry was natively
supported by 11 of the 13
vendors in the radar– As was
Generative AI
Top Five Use Cases for Generative AI
46% Troubleshooting and/or analytics summarization
30% Recommendations for taking action
23% Action/automation (e.g., configuration automation, patch
management, or accelerating workflow development)
23% Generating trouble ticket summaries, or more broadly improving
ITSM efficiencies
15% Post-mortem analysis and recommendations for improvement

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AIOps Adoption
Thoughts

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Vendor Selection
Initially, we selected our AIOps
platform due to cost and
meeting our good-enough
requirements. It allowed us to
start small and grow big as our
needs expanded.
We had monitoring systems all over
the place, but nothing to bring
them together. Our AIOps platform
took all the puzzle pieces for root
causes and alerts and delivered a
common analysis across the
broader spectrum.
Several years ago, we engaged the analyst community and evaluated a number of different
options before settling on our AIOps platform
“

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Deployment
Both we and our customer base
seek to get the alignments across
different roles, such as executives,
business stakeholders, IT operations,
ITSM, and engineering teams. In this
respect, we’ve found our AIOps
vendor’s strategic workshop to be
of real value. The workshop
identifies who is looking for what
information and aligns
deployments based on role and
persona-based needs.
So far, administration has required
only one full-time employee,
although we are now expanding
usage and looking for a second
administrator.
“

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Non-IT or Business Roles Supported

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Benefits
The platform engages with
hundreds of management
tools and as many as 65,000
different technology sets,
turning observability into a
single thread—its correlation is
massively powerful.
They’ve helped us build a bridge
between the business and
operations, providing tailored
dashboard views driven from the
same event and enrichment data,
avoiding conflicts between the
varied support and business areas.
It’s our one source of truth—we can all look at one commonly shared dashboard.
“

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What benefits have
you seen achieved in
actual deployments
from your solution?

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Some Final Thoughts
In the course of EMA research
over the last twelve years, the
message for IT organizations
looking to pursue a forward
path in AIOps adoption is
overall a strongly positive one.
The obstacles do remain
similar, as they reflect not
only on a technology
purchase, but also on
processes, organizations,
and cultural realities.
The AIOps marketplace is clearly
evolving at an accelerated rate
as these thirteen industry leading
vendors indicate.
Both OpenTelemetry and generative AI have redefined the market
in creative and positive ways. Deployment time is accelerating,
along with time to achieve ROI. Volume and quality of data
breadth has been substantially on the rise. And the ability to
promote more informed collaboration across IT, as well as between
IT and the business, is also accelerating at AIOps pace.
The recommendation here
remains that buyers should
consider their own realities in all
these dimensions, then begin a
search for the AIOps platform that
most fits their requirements.
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The AIOps Radar is now available!
Learn more and download:
https://bit.ly/ema-aiops-radar

EMA AIOps Radar: A Guide to Investing in Innovation

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