How AI Is Evolving End-User Computing
Artificial intelligence (AI) is one of those buzzwords that we hear frequently but often associate with bigger-picture applications. As AI has started to have a firmer foothold in our lives, it’s gaining recognition as a powerful end user computing (EUC) tool. Not only is the end user able to automate many tasks, but systems operations (SysOps) is also realizing the full potential that AI can offer.
AI is now mature enough to revolutionize how you manage the EUC landscape within your enterprise. As the shift toward AI continues, getting your end users comfortable with its power and ability to streamline many of their tedious, day-to-day processes will pay dividends in multiple ways. Process efficiencies and automated alerting for misaligned data are just a couple of examples of how AI can bolster end-user production.
There are a few considerations to examine before you can begin the process of introducing AI to your EUC strategy. Diving into each of these AI technology pillars will provide you with the knowledge and tools you need to make an easy transition into an AI-supported EUC infrastructure. They will help you to see how you can unleash the computing power that AI brings to the table onto the productivity of your staff and the overall management of your SysOps.
Using AI Tools to Drive End-User Performance
Monitoring employees to ensure peak levels of productivity has been on IT radars for the better part of two decades. This has led to a proliferation of monitoring tools and a large amount of data. Enterprise-level production monitoring tools have increased the requirements of analysis, storage, and security controls to ensure these tools are used properly and securely. These traditional models of thinking have left IT professionals and business managers struggling to make sense of it all.
But new, AI-based monitoring tools have arrived on the scene to aid the end user in maintaining a high level of productivity. Tools that monitor infrastructure and software for performance issues such as bandwidth latency or outdated software versions can quickly step in and respond to issues before they cause a long-term loss of valuable production cycles. Particularly in certain capacities, having innovative AI solutions at the user’s fingertips can be game changing:
- Call centers. Automated call scripts, transfer options, or escalation options will lower overall call and on-hold times.
- Industrial facilities. AI monitoring tools give line workers and quality control engineers a new set of eyes to ensure production specs are accurate and consistent.
- Medical services. Leaning on AI keeps nurses in the know for medication-dispensing times, bed checks, and patient requests. It allows them to remain focused on patient care, not on calendars and clocks.
- Sales desks. Cold-calling and situational scripts quicken the pace of sales calls, while simultaneously building in business protections for the brand voice your business wants to have in the world.
In addition to these, AI monitoring tools can alert an end user if a task is performed incorrectly or if a software tool could perform the same task automatically in the background. The next-gen potential of AI tools in the end-user space can help businesses recapture some of the lost productivity of the past. This empowers staff to seek out new ways to improve current processes or to condense multiple processes into one automated, AI-driven task.
AI Aids in Staff Empowerment and Improved Collaboration
The introduction of AI tools into the enterprise presents innovative options that will result in improvements beyond maximizing employee and SysOps performance levels. AI tools can be utilized by employees to find new ways to improve how a business operates. Collaboration can occur between departments to ensure those customer deliverables are met, or between the business and the customer to maintain high levels of customer service.
Customer service is an area where AI can yield immediate improvements. Consider this example scenario: Your sales manager creates sales and customer service support scripts for a new medical device you manufacture. Once in production, your AI software notifies management that the scripts being used are out of alignment with the product specs. The customer service and sales manager rapidly address the issue through collaborative efforts, putting product support back into alignment.
Perhaps the greatest strength in the EUC area of AI is in performing data analytics. AI tools can work in the background to develop merging patterns in data and then, based on customized presentation preferences, present them to a user. Presenting the user with the exact information they require, and in a comfortable viewing format, allows for simplified collaboration regardless of whether it occurs across the aisle or across the globe.
Discover the Latest Cutting-Edge AI Tool Sets for EUC
As new as using AI in your EUC strategy may sound, there is a robust selection of tools that stands ready to help introduce AI to your employees. These include tools from smaller, lesser-known companies, such as ControlUp or Nintex, all the way up to household names such as Google and Microsoft.
Let’s take a look at some of the EUC-based tools becoming popular within the enterprise environment:
- Amazon Web Services offers a variety ofAI and EUC tools that seamlessly integrate into most enterprise environments.
- Google has remained an industry leader inAI technology, offering AI tools for businesses and individuals.
- K2 offers perhaps the most robust EUC tool set to date, including options such as SharePoint workflow automation andintelligent automation
- Microsoft Azure presents businesses withAI tools that integrate seamlessly into existing Azure environments.
- ServiceNow has matured far past its days of innovative call centers and incident tracking, and has evolved into developing apredictive intelligence model targeting task automation and workflows.
While this is far from a complete listing of all options available for your AI needs, these will give you an idea as to what features will be best for your organization. They will help guide you toward how you want to develop an AI-based infrastructure that you can depend on to drive your business to higher levels of optimization.
AI Will Continue to Drive End User Computing into the Future
The influx of AI into the business world will continue to increase in the coming months, especially with the growth of AI tools in the marketplace. These will enable enterprises to implement and automatically monitor improved performance controls while providing end users with intuitive, collaborative capabilities to design optimized workflows and provide a better customer service experience.