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How IT Departments Are Successfully Adopting Artificial Intelligence Technologies

Patricia Diaz-Hymes

We all know artificial intelligence (AI) is a hot topic — but beyond the buzzword, have you ever wondered how IT departments are actually adopting AI technologies to improve on their operations?

Because the term "AI" gets thrown around a lot, let's start with what it means. Given all the marketing hype this technology has been given, I often find myself debating with peers on what AI actually is. Understanding that many vendors have usurped some loose sense of the term in order to claim AI functionality, let's be factual in terms of what it is. As Gartner defines it, artificial intelligence is:

"Technology that appears to emulate human performance typically by learning, coming to its own conclusions, appearing to understand complex content, engaging in natural dialogs with people, enhancing human cognitive performance (also known as cognitive computing) or replacing people on execution of nonroutine tasks. Applications include autonomous vehicles, automatic speech recognition and generation and detecting novel concepts and abstractions (useful for detecting potential new risks and aiding humans quickly understand very large bodies of ever-changing information)."

46% of the companies surveyed said their IT departments are using AI

Use cases for understanding AI as technology that emulates human performance have been endless. When automation technologies started making headlines, everyone fixated on all the statistics around jobless due to automation. The Washington Post last year reported that robots would replace almost a third of the U.S. workforce by 2030. Many AI-powered technologies have garnered some bad press but IT teams are one of the first groups to experiment and more formally adopt AI technologies — not to replace humans but to complement our advancements

According to a recent study conducted by Tata Consultancy Services(TCS), 46% of the companies surveyed said their IT departments are using AI. But for what? Mostly for security intrusions, resolving user issues, automating production management and gauging internal compliance.

Image removed.

AI in The Real World

According to the TCS study, the highest percentage of organizations using AI is in the energy industry, with 100% of them using AI to some capacity, followed by high-tech and telecommunications.

But why are these IT teams and other departments investing in AI technologies? The study outlines six main goals that really propel AI initiatives:

■ Improving product or service quality

■ Helping customers use and get more value from their products/and or services

■ Reducing key process cycle times

■ Improving executive decisions

■ Identifying new revenue opportunities

■ Reducing costs by automating manual work

Ultimately, whether using AI for security intrusions, IT problems or otherwise, the main driver for IT in using this technology is to improve product and service quality. That is why it is no surprise that IT vendors have been developing AI solutions for IT professionals in the end-user computing space, be it for application, hardware, services management, etc.

Particularly, as it pertains to tools that monitor the digital experience, AI technologies help support this goal while also helping clear up IT's time for higher value activities.

How AI Will Transform IT Operations in 2019?

Gartner recently published its Top 10 Strategic Technology Trends for 2019 which outlines the empowered edge as a top trend noting: "Through 2028, we expect a steady increase in the embedding of sensor, storage, compute and advanced AI capabilities in edge devices."

With the introduction of AI into IT operations, IT teams continue to find new use cases for AI and its applicability to edge computing is no exception. Perhaps one of the most promising use cases in this space, in part because of its clear and strong business value proposition, is Level 0 support, an automated or self-service style where users can access help themselves without the aid of the help desk. AI technologies, used in tandem with end-user computing or digital experience monitoring tools, are now being used to deflect user-facing issues from even reaching support desks using self-healing and self-service — Level 0 support.

AI's role in Level 0 is identifying patterns in the monitored environment that can then help inform IT or automation technologies to solve a problem. The value proposition of such solutions is simple, it is a way to reduce support desk costs and free up agents' time to focus on higher value interactions, which are more complex issues and require humans.

Some components of Level 0 support are not new. Unfortunately, this level of support has not been executed successfully by many IT departments. With AI advancements, the future seems very promising for the effectiveness of self-service programs and the adoption of new automation processes that ultimately help improve quality for users.

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How IT Departments Are Successfully Adopting Artificial Intelligence Technologies

Patricia Diaz-Hymes

We all know artificial intelligence (AI) is a hot topic — but beyond the buzzword, have you ever wondered how IT departments are actually adopting AI technologies to improve on their operations?

Because the term "AI" gets thrown around a lot, let's start with what it means. Given all the marketing hype this technology has been given, I often find myself debating with peers on what AI actually is. Understanding that many vendors have usurped some loose sense of the term in order to claim AI functionality, let's be factual in terms of what it is. As Gartner defines it, artificial intelligence is:

"Technology that appears to emulate human performance typically by learning, coming to its own conclusions, appearing to understand complex content, engaging in natural dialogs with people, enhancing human cognitive performance (also known as cognitive computing) or replacing people on execution of nonroutine tasks. Applications include autonomous vehicles, automatic speech recognition and generation and detecting novel concepts and abstractions (useful for detecting potential new risks and aiding humans quickly understand very large bodies of ever-changing information)."

46% of the companies surveyed said their IT departments are using AI

Use cases for understanding AI as technology that emulates human performance have been endless. When automation technologies started making headlines, everyone fixated on all the statistics around jobless due to automation. The Washington Post last year reported that robots would replace almost a third of the U.S. workforce by 2030. Many AI-powered technologies have garnered some bad press but IT teams are one of the first groups to experiment and more formally adopt AI technologies — not to replace humans but to complement our advancements

According to a recent study conducted by Tata Consultancy Services(TCS), 46% of the companies surveyed said their IT departments are using AI. But for what? Mostly for security intrusions, resolving user issues, automating production management and gauging internal compliance.

Image removed.

AI in The Real World

According to the TCS study, the highest percentage of organizations using AI is in the energy industry, with 100% of them using AI to some capacity, followed by high-tech and telecommunications.

But why are these IT teams and other departments investing in AI technologies? The study outlines six main goals that really propel AI initiatives:

■ Improving product or service quality

■ Helping customers use and get more value from their products/and or services

■ Reducing key process cycle times

■ Improving executive decisions

■ Identifying new revenue opportunities

■ Reducing costs by automating manual work

Ultimately, whether using AI for security intrusions, IT problems or otherwise, the main driver for IT in using this technology is to improve product and service quality. That is why it is no surprise that IT vendors have been developing AI solutions for IT professionals in the end-user computing space, be it for application, hardware, services management, etc.

Particularly, as it pertains to tools that monitor the digital experience, AI technologies help support this goal while also helping clear up IT's time for higher value activities.

How AI Will Transform IT Operations in 2019?

Gartner recently published its Top 10 Strategic Technology Trends for 2019 which outlines the empowered edge as a top trend noting: "Through 2028, we expect a steady increase in the embedding of sensor, storage, compute and advanced AI capabilities in edge devices."

With the introduction of AI into IT operations, IT teams continue to find new use cases for AI and its applicability to edge computing is no exception. Perhaps one of the most promising use cases in this space, in part because of its clear and strong business value proposition, is Level 0 support, an automated or self-service style where users can access help themselves without the aid of the help desk. AI technologies, used in tandem with end-user computing or digital experience monitoring tools, are now being used to deflect user-facing issues from even reaching support desks using self-healing and self-service — Level 0 support.

AI's role in Level 0 is identifying patterns in the monitored environment that can then help inform IT or automation technologies to solve a problem. The value proposition of such solutions is simple, it is a way to reduce support desk costs and free up agents' time to focus on higher value interactions, which are more complex issues and require humans.

Some components of Level 0 support are not new. Unfortunately, this level of support has not been executed successfully by many IT departments. With AI advancements, the future seems very promising for the effectiveness of self-service programs and the adoption of new automation processes that ultimately help improve quality for users.

Hot Topics

The Latest

Industry experts offer predictions on how AI will evolve and impact technology and business in 2025. Part 5 covers the infrastructure and hardware supporting AI ...

Industry experts offer predictions on how AI will evolve and impact technology and business in 2025. Part 4 covers advancements in AI technology ...

Industry experts offer predictions on how AI will evolve and impact technology and business in 2025. Part 3 covers AI's impact on employees and their roles ...

Industry experts offer predictions on how AI will evolve and impact technology and business in 2025. Part 2 covers the challenges presented by AI, as well as solutions to those problems ...

In the final part of APMdigest's 2025 Predictions Series, industry experts offer predictions on how AI will evolve and impact technology and business in 2025 ...

E-commerce is set to skyrocket with a 9% rise over the next few years ... To thrive in this competitive environment, retailers must identify digital resilience as their top priority. In a world where savvy shoppers expect 24/7 access to online deals and experiences, any unexpected downtime to digital services can lead to significant financial losses, damage to brand reputation, abandoned carts with designer shoes, and additional issues ...

Efficiency is a highly-desirable objective in business ... We're seeing this scenario play out in enterprises around the world as they continue to struggle with infrastructures and remote work models with an eye toward operational efficiencies. In contrast to that goal, a recent Broadcom survey of global IT and network professionals found widespread adoption of these strategies is making the network more complex and hampering observability, leading to uptime, performance and security issues. Let's look more closely at these challenges ...

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The 2025 Catchpoint SRE Report dives into the forces transforming the SRE landscape, exploring both the challenges and opportunities ahead. Let's break down the key findings and what they mean for SRE professionals and the businesses relying on them ...

Image
Catchpoint

The pressure on IT teams has never been greater. As data environments grow increasingly complex, resource shortages are emerging as a major obstacle for IT leaders striving to meet the demands of modern infrastructure management ... According to DataStrike's newly released 2025 Data Infrastructure Survey Report, more than half (54%) of IT leaders cite resource limitations as a top challenge, highlighting a growing trend toward outsourcing as a solution ...

Image
Datastrike

Gartner revealed its top strategic predictions for 2025 and beyond. Gartner's top predictions explore how generative AI (GenAI) is affecting areas where most would assume only humans can have lasting impact ...