Cognitive technologies: How they're contributing to IT modernization

Cognitive technologies: How they're contributing to IT modernization

IT modernization is a top priority for many businesses today. With so many intuitive and productivity-boosting tools available to users, decision-makers are looking to replace some of their more clunky and time-consuming processes with more streamlined platforms and capabilities.

In this pursuit, cognitive technologies are making waves, helping enterprises achieve a number of critical initiatives associated with their modernization goals.

What are cognitive technologies?

As a report from Deloitte Insights noted, there isn't currently a single, concrete definition for this set of IT tools. However, they can include platforms and solutions that augment the abilities of human users, streamline and support decision-making and achieve processes that have historically required human intervention.

Deloitte researchers outlined four major categories of cognitive technologies:

  1. Robotic process automation
  2. Cognitive language technologies
  3. Cognitive machine learning
  4. Cognitive computer vision

These systems are seeing increasing use, particularly as part of enterprise IT modernization strategies. Let's take a look at a few examples.

RPA to save time and eliminate human error

As noted in this ebook from CA Technologies, one of the main tenets of IT modernization is evolving company infrastructure in a way that aligns with business strategy. This bringing together of IT and line of business departments helps ensure that departments across the organization are on the same page and that users have the tools they need to support the overarching enterprise mission.

Not surprisingly, RPA is beginning to take hold in organizations across numerous industries, helping employees streamline repetitive and time-consuming processes while enabling them to be more productive. For example, RPA is now being used to enable accurate data entry, financial workflows like matching and reconciliation, post-development app testing, and more. With RPA handling these types of activities, employees can utilize their time on more strategic and mission-driven work that better supports the company strategy.

Machine learning for data analysis

Big data and its analysis is opening doors for improved, evidence-backed decision-making. While this is crucial to many business processes today, it can be an incredibly prohibitive to complete by hand.

Enter cognitive machine learning, including both supervised and unsupervised, which can automate the analysis of large volumes of data, and learn from the process as it works toward results. These systems can pull insights from information, and apply them to subsequent processes without the need for specific human guidance. Cognitive machine learning will become an invaluable asset in data analysis.

Cognitive solutions to support compliance

One of the most interesting use cases involving cognitive technology and modernization is these systems' ability to support industry compliance requirements. As Deloitte researchers wrote in a piece for the Wall Street Journal, cognitive technology and tools like RPA are ideal for automating repetitive processes that, while important for compliance, don't necessarily require a human hand.

"Technology can help compliance organizations modernize their operations in many ways, as well as elevate their profile to become an even more valued business partner," noted Mike Juergens, Deloitte Principal and Leader of Executive Programs. "The potential for technology to help modernize compliance is significant, although many organizations are still at the foundational level and just beginning to elevate processes and plan improvements."

This means that there are considerable opportunities for growth and new uses when it comes to cognitive technologies and IT modernization.

As businesses look to put these types of new, advanced tools in place, it's imperative that internal IT stakeholders and executives have the visibility they require into their critical infrastructure. Transparency here is key, as is the ability to ensure proper capacity and resourcing to enable the proper performance of cognitive, automated tools.

This makes an infrastructure performance monitoring tool ideal for IT modernization efforts, enabling IT admins to support the performance of their cognitive technologies while proactively managing the entire infrastructure. To find out more, connect with the experts at Galileo Performance Explorer today.

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