Category

AI

Simulations Speed time to Proficiency

By | Adaptive Learning, AI, bots, call center, contact Center, simulations

It’s a well-known fact that many call centers are challenged with getting agents up to speed as quickly as possible with a high degree of proficiency. The chart below shows the average time it takes for agents to become proficient. But we want to encourage you to start using simulations – like our ACES simulator

 

When we work with our customer’s call centers the #1 reason they use us is to get their agents up to speed faster.

Click here to see some examples

Synthetic speech (deep fakes) Are Coming and Getting Better

By | AI, simulations

Recently I was doing some research on voice technology and came across this company Murf which has a pretty impressive library of text-to-speech voices that sound pretty real. synthetic voice

Here are some samples I created



Another platform I have used that includes real human faces is Synthesia. I have used their voices for different simulation projects.

During a recent presentation for the Chicago eLearning Showcase, another platform many people use is Well Said Labs. I’ve tried all of these and many of these voices work pretty well but there is something to be said for a real voice. As someone who sings professionally as my side hustle, I would hate to think that someday singers may be replaced by AI voices — but it won’t surprise me if this is already being done in the gaming or Meta world.

Correlation of Smart Phone Use and the Dumbing Down of Our Workforce

By | Adaptive Learning, AI

There are some pretty strong arguments that the use of Smart Phones has reduced our attention spans.  In fact, I bet some of you won’t be able to read this entire article without checking your phone or toggling over to check your email.

Publications like “Are Smartphones Making Us Dumber” and “Is Your Smartphone Making You Fat and Lazy” provide evidence that smartphones are creating a negative impact on our cognitive abilities.

For example, how many people under the age of 30 could use a map to navigate their way to some unknown destination? Don’t get me wrong, I have a very close affection for my GPS “lady” in helping navigate my way through some tricky destinations. But, she has led me astray on occasion to a route that seems to pass by a lot of Dunkin Donut Shops.

This leads me to think about the amount of time allowed for a single training program has gone from an average of 1 hour down to 15 minutes. Is this because we know the end-user attention span is short or is this the only amount of time the organization will allow the learner to be pulled away from their job?

Knowing that a training unit seems to be 15 minutes or less, it’s surprising to find that from 2017 to 2020, large corporations have dedicated more than twice as much time into total hours of training

(Chart from this article)

So, if companies are allowing for more training time per employee but less time for each training activity what was the catalyst that caused this dramatic leap?

My hypothesis is that more content is being digitized and accessible via online courseware/video content and knowledge management but are the employees becoming more skilled just because their employer is providing more content and easier access?

According to a study conducted by Professor Mark Williams University of Sydney Australia, shows that something that is read on a screen will be retained 10-30 percent less than something read on paper.

He also states “Our brains can’t multi-task, we have to switch our attention from one thing to another “

How many apps on your phone send an audible or buzzing signal to you throughout the day? These disruptions take our focus away each time we hear them.

I think we are fooling ourselves that by providing more resources to our employees they will automatically consume them to increase their capacity to do their job. I think organizations are taking the “just Google it” approach to providing resources and information to employees. Why not —  I can’t tell you how many things I’ve Googled to bring knowledge to me in the moment I need it.

Does that mean I’ve had become an expert on this –no but it got the job done. I think this has become the attitude of many organizations, by providing enough access to on-demand knowledge, we are doing our jobs.

I hope some of you reading this (if you got this far) can prove me wrong. Time, money and chaos are always going to be a driving force in building an educated workforce. Wouldn’t it be great if your company could bring an industry expert to the table when trying to acquire a new client or present the best trouble-shooting team when malicious hackers break into your network. Companies can have this type of human capital without paying higher prices to recruit top talent from the start.

In closing, it would be great to see examples of companies that spend time on training beyond the 15-minute chunks or treat training as a one-time event. It takes time, practice and feedback to gain long-term knowledge and expertise. I’m a huge fan of technology and the benefits it can provide but let’s find ways to leverage technology in a way that enable employees to build long-term knowledge and build internal experts to become more competitive and more “Smart” without relying on our mobile devices.

Not All IA is Evil

By | AI, bots, call center, simulations

It seems that AI (artificial intelligence) is getting more bad press than good these days. But my spin is that the good still outways the bad when it comes to the benefits of using AI-based applications and products.

For example, we are using AI to help accelerate the rate at which you can learn a new skill. I’ve seen this approach to using AI in education only at the K-12 level vs. the enterprise level as we are using it.  Most other training companies using AI to curate content to help cross-train employees on skills they need for their job. I would say this is one of the easier ways to apply AI technology.bots

Here is a list of some other “good” ways AI is being used to learn a new skill

  1. Using AI to learn how to speak in ASL (American Sign Language)
  2. Carnegie Learning is using to help teach math in a new way for K-12 students
  3. ACES (our own platform) for ensuring call center employees can demonstrate the appropriate level of English proficiency

One tail of caution though, we really want to ensure that we try to reduce the amount of bias that inherently may be embedded with these systems. I was recently asked by one of our clients if we could prove our AI did not contain any bias. I applaud them for asking this question as — again, this would suggest some sort of “evil” intent is being used.

We were fortunate to find a third-party study that showed our AI back-end (Microsoft’s NLP engine) scored the lowest word error rate. So as Spider Man’s uncle says “With great power comes great responsibility”

Microsoft’s four guiding principles for artificial intelligence

By | AI, bots

Without artificial intelligence (AI), organizing and extracting insights from vast amounts of enterprise data would be a nearly impossible task. Choosing the right AI capabilities is essential to successful initiatives. Read this infographic to learn the four guiding principles behind Microsoft #Azure #AI and why it remains the top choice for today’s leading corporations.

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Where Artificial Intelligence Will Disrupt Next

By | AI, bots

More and more examples of how AI is changing our business environment. Read this article to learn what Stanford University and Brookings Institution researchers uncovered about the future of #ArtificialIntelligence and which industries will be most impacted by its applications.

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