Category

AI

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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3 Reasons to Invest in Microsoft Azure AI

By | AI, bots

In three years, businesses will report $40B in additional revenue driven by AI. This means that without a doubt, #ArtificialIntelligence will become a key factor in the ability of organizations to innovate and improve efficiency. In this infographic, you’ll learn how investing in #Microsoft #AzureAI can open up new revenue-generating opportunities for your business in the digital age.

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When it comes to artificial intelligence, throw away that tired old tech rulebook

By | AI, bots

Our simulator, uses an intelligent agent to monitor activity. Using this type of technology, is in line with where AI jobs are going. It’s expected that the number of professionals working in AI-focused roles will nearly double in the next three years. This shift will not only require changes to businesses’ digital environments, but to their organizational structures as well.

Read this article to learn four ways in which businesses need to evolve to fully prepare for the advent of #ArtificialIntelligence.

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Why we should be embracing AI and bot technology

By | AI, bots


If you’re reading this, then chances are that getting easy access to clean, running water isn’t an issue for you. But for around 43 percent of the world’s total population, this simply is not the case. For them, obtaining the drinkable water they need to sustain their families requires hard work and commitment.

To make matters even more critical, most of them live in rural areas in which farming is their main source of income. This means that any available water must be carefully distributed between their crops and family. This is an exhausting situation that can take all day just to keep a small patch of land in farmable condition.

Such is the case for Monica, a Kenyan farmer who every day must assume the roles of mother of four, farmer, merchant, and housekeeper just to make ends meet. In this video, you’ll learn how she managed her dwindling water supply to keep her farm yielding, family fed, and trade at the local market—a situation that was soon to improve dramatically thanks to modern technology.

How Simulations Can Shorten the Path the Mastery

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

Simulations for learning

Why do pilots user flight simulators vs. real airplanes? We all know that hands-on experience is one of the best ways to learn a new skill.  But don’t take my word for it. In an article featured from Laurdal they state three reasons why simulations accelerate learning and retention:

  1. Simulations increase engagement – By placing students into an immersive environment, they are ACTIVELY vs. passively engaged in the learning
  2. Simulations maximize retention – One of my favorite reasons why simulations are important. How many times have you put people through a training program and the knowledge is lost within a short amount of time
  3. Simulations ensure that learning is transferred to the job – This should really matter to the executive suite, when employees can accelerate their level of applying their skills directly into their work and shorten their path to mastery, this goes directly to the bottom line.

Think of it in this way, if I gave you a manual to learn how to conduct a step by step process, this is an explicit approach to learning something. It’s easily repeated and more commoditized but not as effective. On the other hand, if I gave you access to the equipment and/or placed you into a simulation which immersed you in learning this process.  This is an implicit experience but much more valuable in giving you first-hand experience in learning this new task.

Finally, in a study conducted by Roger S. Taylor and Micheline T. H. Chi at the University of Pittsburgh, they conducted a study comparing students who studied using a textbook and those who used a computer simulation. This was the summary of their findings:

The Simulation condition acquired a significant amount of implicit domain information from pretest to posttest, whereas participants in the Text condition did not. These results suggest that educational computer simulations have the potential to significantly enhance the learning of implicit domain knowledge.”

But keep in mind, the simulations need to be tailored to a specific skill or task directly related to the job. It should include some form of immediate feedback and places the learner into a contextual setting, similar to what they will experience in real life. Anders Ericcson was noted as coming out with the study of “deliberate practice” Here is a video where Anders explains this concept.

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