AI – Friend or Foe?
Uncover the opportunities and challenges of artificial intelligence
Introduction
We commissioned the survey – 2024 IT Trends: AI: Friend or Foe? – to gauge the IT industry’s perception of AI today. We invite you to explore the key findings.
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KEY FINDINGS
Streamline operations and improve efficiency
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AI improves efficiency and productivity in IT teams

Key Finding 1
Key Finding 2
Key Finding 3

Most companies now have more tools and more data than they know what to do with. While these tools aid productivity at every level, they also spell huge headaches for CIOs, especially in the following areas:

  • Environments are too complex
  • Workflows are too slow
  • Processes are too costly
  • Data is not secure

One of AI’s greatest strengths is its capacity to review large amounts of data—both as a one-time exercise and on an ongoing basis. What takes humans minutes, hours, or days to tackle, AIOps can complete in seconds, from analyzing traffic patterns to monitoring changes in the IT infrastructure over time.

We asked IT professionals how the integration of AIOps will affect their job experience.

  • Enhance their experience by automating repetitive tasks.
    31%
  • AIOps will streamline their job by providing real-time insights
    27%

Efficiency isn’t just one outcome of AIOps. It’s the critical outcome companies look for when investing in AI. Nearly half of respondents named improved efficiency as the most significant driving factor in their plans to implement AI technologies, ranking it above data analysis, cost savings, and predictive decision-making

  • Predictive decision-making
    12%
  • Improving efficiency
    46%
  • Data analysis
    22%
  • Cost savings
    20%
The benefits of AIOps
AIOps can streamline operations and improve efficiency—from the day-to-day database details to the biggest of big-picture plans for scaling—to eliminate the roadblocks between your teams and drive innovation.
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KEY FINDINGS
Optimism and opportunities for AIOps
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Confidence in AI adoption and implementation is strong

Key Finding 1
Key Finding 2

AI is evolving rapidly, but investment from enterprise organizations is keeping up. Our research found that nearly two-thirds (65%) of companies have already invested $5 million or more in AI technology.

  • Less than $5 million
    36%
  • Between $5-25 million
    34%
  • Between $25-100 million
    20%
  • More than $100 million
    10%

Companies may have good intentions of prioritizing AIOps for IT, but implementation is still in its early stages. As a result, IT professionals wish for more from their organizations when it comes to AIOps.

  • I want my company to move faster in implementing AI
    47%
  • I want my company to slow down and ensure we get our AI investments right
    21%
  • My company is moving at the right speed implementing AI
    32%
Optimism and opportunities for AIOps
IT teams and leaders see clearly how AIOps can benefit their workflows and output—they’re just waiting for their organizations to catch up.
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KEY FINDINGS
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Security and privacy concerns run high

Key Finding 1

Despite IT pros’ high levels of optimism toward AI, not all of their feelings are positive. AI’s rapid advancement brings its fair share of concerns—and at the forefront are security and privacy.

  • 40% have had a negative experience
  • Nearly two-thirds (64%) of respondents’ organizations have developed internal frameworks to address concerns related to AI implementation
  • Nearly nine out of 10 (88%) respondents said they support increased government oversight of AI
Regulations and action steps for AI security
IT organizations also need to take charge of their own AI and AIOps security by building internal frameworks and adopting solutions with security, transparency, and visibility at the forefront.
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IT pros only somewhat trust data quality

Key Finding 1

Security and privacy aren’t the only AI concerns IT pros’ have. They also have uncertainty around data quality—and when the business is on the hook for the output of its AI systems, quality really matters.

Solving the problem of low-quality AI output, of course, starts with its input—a model is only as good as its training data. Organizations should rely on the foundations of data engineering:

  • Data cleaning and validation
  • Anomaly detection to find outliers and anomalies in the data
  • Data provenance, which is required for auditing and governance
Garbage in, garbage out
These principles and processes can help IT organizations enhance the accuracy of their AI models, enabling reliable results that the business can trust.
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KEY FINDINGS
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AI is a wise advisor, not a final decision-maker

Key Finding 1

If AIOps were an IT team member, who would it be? We asked respondents, and the largest group (33%) described their new “colleague” as a wise advisor—one that offers insights and foresight to refine decision-making. This response further supports the idea that AI has a role to play in making decisions; just not the primary one.

The second most common description of AI (20%) was that of a superhero sidekick who takes on the grunt work so that the hero can focus on the big picture.

  • Like a superhero sidekick, taking on the grunt work so ו can focus on the big picture.
    20%
  • As a wise advisor, offering insights and foresight that refine my decision-making.
    33%
  • More like a quiet intern, present but not making waves.
    19%
  • Unfortunately, as a bit of a nuisance, complicating processes rather than simplifying them.
    9%
  • l'm still trying to figure out if this “colleague” and ו will get along.
    19%
Whether an advisor or a sidekick, AI doesn’t have carte blanche to make decisions in isolation. For the sake of security, privacy, and output quality, IT leaders should welcome AI into their teams’ workflows while prioritizing human oversight and explainability. Human oversight and transparency are foundations for building trust in AI and its impact—not just within IT organizations but for their colleagues and customers.
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AI: Friend or Foe? Get the 2024 IT Trends Report.

Delve into the discussion of whether artificial intelligence (AI) is our friend or foe, a topic that has fascinated the general public and IT professionals alike. As these technologies have evolved so too have our expectations and imagination for their potential.

AI: Friend or Foe?

We've delved deep into IT professionals' opinions to gauge their perception of AI today. Are they optimistic or apprehensive about this innovative technology? Is AI set to make our lives easier, or will the changes promised only increase stress? What are enterprises’ primary concerns, and what barriers are they encountering in integrating AI into their operations?

Answer 10 questions to see how you compare.

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Question 1/10
FRIEND OR FOE?
10%
Is your opinion of AI positive or negative?
Please make a selection
Question 2/10
IT INDUSTRY
20%
What is your most significant concern about the advancement of AI in the IT industry?
Please make a selection
Question 3/10
SECURITY AND PRIVACY RISKS
30%
What aspects of AI and its potential impacts do you think require government regulation?
Please make a selection
Question 4/10
AI IS A WISE ADVISOR
40%
How comfortable are you with AI being involved in decision-making processes at your company?
Please make a selection
Question 5/10
OPTIMISM AND OPPORTUNITIES FOR AIOPS
50%
To what extent is AI currently integrated into your organization's IT operations?
Please make a selection
Question 6/10
STRATEGIZING AI INFRASTRUCTURE
60%
Where does your company plan to host any increased data and workload requirements for AI?
Please make a selection
Question 7/10
CONFIDENCE IN AI ADOPTION
70%
What is the most significant barrier to successfully integrating AI technologies at your company?
Please make a selection
Question 8/10
WELCOME TO THE TEAM
80%
Imagine AIOps as a new team member in your workspace. How do you envision this new “colleague” transforming your day-to-day job experience?
Please make a selection
Question 9/10
THE BENEFITS OF AIOPS
90%
What impact has the adoption of AIOps had on your organization's overall IT performance and efficiency?
Please make a selection
Question 10/10
WHERE TO GO FROM HERE
100%
How do you see AIOps shaping the future of IT operations management, especially in terms of scalability and agility?
Please make a selection