CSM Magazine
SEPTEMBER 21, 2023
This will empower you to anticipate and calculate financial outlays, encompassing licensing fees, supplementary modules, implementation expenses through the vendor or designated partners, technical support, revisions, development initiatives, IT system upgrades, and staff training. Explore options for smooth data interchange.
ProProfs Blog
DECEMBER 25, 2019
In fact, in everyday life, people throw around the words “help desk” and “technical support” almost interchangeably. However, did you know that there’s a sharp line of difference between the help desk and technical support ? Help Desk vs. Technical Support: What Do They Mean? Different Goals.
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Vistio
FEBRUARY 5, 2024
And at the heart of delivering excellent customer service lies well-trained call center agents. But training call center agents can be a daunting task. Traditional training methods often fall short in preparing agents for the dynamic and unpredictable nature of customer interactions.
SoliCall
MAY 5, 2024
Training and Support : Provide comprehensive training to call center staff on how to use the technology effectively and troubleshoot common issues. Additionally, offer ongoing technical support to address any concerns or problems that arise in real-time.
Calltools
FEBRUARY 3, 2021
If you have a talented and well-trained sales team, your success is almost guaranteed. You lose time and money while you train replacements. You can reach this goal by enhancing your hiring, training and evaluation practices. This is the first step to a solid call center agent training plan. Training Call Agents.
Toister Performance Solutions
FEBRUARY 8, 2024
For example, In-N-Out cashiers are trained to ask each customer, "How are you?" in return, cashiers are trained to respond, "I'm good, thank you." Technical support reps are often trained to ask customers to reboot their device as a first step to solving a problem. If a customer asks "How are you?"
AWS Machine Learning
AUGUST 3, 2023
Training ML algorithms for pose estimation requires a lot of expertise and custom training data. Therefore, we present two options: one that doesn’t require any ML expertise and uses Amazon Rekognition, and another that uses Amazon SageMaker to train and deploy a custom ML model. Both requirements are hard and costly to obtain.
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