How IT Departments Are Successfully Adopting Artificial Intelligence Technologies
November 15, 2018

Patricia Diaz-Hymes
Lakeside Software

Share this

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.


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.

Patricia Diaz-Hymes is Sr. Product Marketing Manager at Lakeside Software
Share this

The Latest

December 13, 2018

The Holiday Season is the time for the annual list of Application Performance Management (APM) predictions. Industry experts offer thoughtful, insightful, and often controversial predictions on how APM and related technologies will evolve and impact business in 2019. A forecast by the top minds in Application Performance Management today, here are the predictions ...

December 12, 2018

Nine out of ten (89 percent) companies expect their IT budgets to grow or remain flat in 2019. Although factors driving budget increases vary significantly by company size, 64 percent of those planning to increase budgets are doing so to upgrade outdated IT infrastructure, according to the 2019 State of IT Budgets report from Spiceworks ...

December 11, 2018

Gartner highlighted the key technologies and trends that infrastructure and operations (I&O) leaders must start preparing for to support digital infrastructure in 2019 ...

December 07, 2018

As more organizations embrace digital business, infrastructure and operations (I&O) leaders will need to evolve their strategies and skills to provide an agile infrastructure for their business. In fact, Gartner, Inc. said that 75 percent of I&O leaders are not prepared with the skills, behaviors or cultural presence needed over the next two to three years ...

December 06, 2018

Today there is an urgent need for Agents of Transformation, a new breed of technologist, primed to drive innovation and enable companies to thrive in the face of rapid technological advancement, according to The Agents of Transformation Report from AppDynamics, a Cisco company ...

December 05, 2018

One in four Global Fortune 2000 enterprises rank Internet of Things (IoT) deployment as the most important initiative in their organization, yet 90% experience barriers to effective implementation and expansion due to lack of IoT expertise and skills in-house, according to a new independent survey from VansonBourne ...

December 04, 2018

Nearly three-quarters (74%) of IT leaders are concerned that Internet of Things (IoT) performance problems could directly impact business operations and significantly damage revenues, according to a new report, entitled Overcoming the Complexity of Web-Scale IoT Applications: The Top 5 Challenges ...

December 03, 2018

Gartner highlighted the top strategic Internet of Things (IoT) technology trends that will drive digital business innovation from 2018 through 2023 ...

November 30, 2018

While 95 percent of organizations have a disaster recovery plan in place, 23 percent never test their plan, according to a new survey from Spiceworks ...

November 29, 2018

Cloud computing has clear and definite benefits. At the same time there is an excessive amount of vendor hype that it will fix a lot of problems which it will not. It can also create new problems with a lack of visibility and many IT professionals are disappointed with their leap to a pure cloud environment ...