Narrow band AI Chatbot

Narrow band AI Chatbot

When was the last time you looked at chatbots?

Your first impressions may have been disappointing. Maybe you heard about the famous Microsoft chatbot failure in 2016. The first generation of “narrow band” AI services certainly had problems. However, the industry is changing. Today, you can have access to already-trained and finely tuned chatbots to handle specific tasks.

The AI Breakthrough You Haven’t Heard About

Amid all the hype about artificial intelligence solutions, you might be wondering whether there’s any substance to this trend. In reality, there’s a great deal of hype. Fortunately, one genuine breakthrough is delivering value to companies. Narrow band chatbots are designed to achieve a single goal. You’ve probably already encountered marketing chatbots on websites and social media. Those tools help companies generate more leads and close more business. That is a big win for the sales team. This type of focused AI is specialized in one area, so it’s easy to implement. Narrow band AI is about far more than optimizing sales and marketing; this technology can benefit the entire enterprise.

Chatbots, one of the most popular types of narrow band AI, are coming to the IT security department!

Why Should IT Security Use Narrow Band AI?

Talk to IT security professionals about their workload, and you’ll get an earful. There aren’t enough hours in the day to keep up with the constant demands. Take one area of IT security as an example. Detecting and managing IT security vulnerabilities in your software and hardware is tough. Developing and delivering employee security training for IT matters is yet another area these tireless professionals need to address. Every new app and operating system introduced to the company makes this task harder. With this constant pressure to react, important responsibilities are neglected.

When was the last time your IT professionals went to a conference or earned a new certification? Such professional development activities often go by the wayside when security is buried under work.

IT security chatbots, a type of narrow band AI, are here to help. Instead of IT security analysts having to spend all day answering tickets, the chatbot can address those questions. With this approach, your IT security department will have more time to work on other activities. For example, by freeing up a few hours a week, you can take on strategic IT security work such as building a business case for a single sign-on solution.

3 Ways Apollo Delivers Security Value with Narrow Band AI

For narrow band AI solutions to work, they need to be specialized and guided to achieve a certain goal. At Avatier, we’ve built Apollo to handle some of the most common IT security tasks.

1. Consistent Execution of Security Policy

In security management, consistency is critical to keeping your organization protected. If a password change is approved without verifying the user, your organization’s security suffers. Such mistakes are prevented when you use a narrow band AI solution such as Avatier. Every user request will be handled in the same way, and security policy requirements cannot be skipped.

For the IT security manager, this means you can deliver on your IT service metrics every month. You can also provide evidence that your security policy is being followed consistently. Even better, every interaction and request is logged to a central database. Thus, you’ll be positioned to pass your next IT security audit with flying colors.

2. Optimize Your Help Desk’s Resources

Most IT help desks are expected to handle a wide variety of problems. On any given day, they have phone calls about passwords, Windows updates, malfunctioning mobile devices, and more. Some requests are easy to solve in less than a minute. On the other hand, troubleshooting a corporate firewall issue with a traveling executive may be a much more involved task. Instead of constantly hiring more staff for the help desk, there’s another way to handle the workload.

Identify a certain set of tasks – such as IT security administration – and hand those tasks off to a narrow band AI service. Apollo is made to handle just such a situation. Instead of asking your help desk employees to work around the clock to process urgent password administration requests, you can delegate those tasks to AI.

3. Increase Corporate Confidence in Narrow Band AI

Some organizations, such as banks, are nervous about the implications of using AI. These tools sound promising, but the risks are uncertain. That’s a natural response to new technology. However, remaining skeptical for a prolonged period means you’ll fall behind other companies adopting AI.

By implementing narrow band AI today and showing its benefits, you’ll be opening the door to greater innovation. The risk-averse leaders in your organization will be able to see the improvements to the employee experience and productivity. As narrow band AI becomes established in IT security, you’ll have the credibility to bring AI to other areas.

Build Your Business Case for Narrow Band AI Next

Now that you’ve found some of the benefits of AI, your next step is to make a case for it internally. We’ll assume that your organization doesn’t have an innovation fund to explore new technology. These initial steps will help you build support for narrow band AI.

1. Discover the Narrow Band AI Possibilities

Start by researching modern AI capabilities; in particular, narrow band AI. These specialized tools are designed to accomplish a specific set of tasks. That means you don’t need a small army of AI experts to implement these systems.

2. Identify Routine and Expensive Processes Throughout the Organization

Narrow band AI is the right solution for highly repetitive activities. In the case of password administration, similar steps are followed every time. You might have a similar process for managing supplier invoices. After you create your list of routine tasks, estimate the resources consumed by each of these activities as they’re currently performed.

With this information in hand, you’ll have the building blocks for a successful AI business case.

Written by Nelson Cicchitto