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Everyday AI Podcast – An AI and ChatGPT Podcast

EP 53: How to Use AI to Teach Employees New Skills

Fri Jul 07 2023
AIGPT4DeepMindgenerative AIcall center agentscustomer servicenatural language processingautomationemployee trainingsystem failures

Description

The episode covers topics such as OpenAI's GPT4 API and code interpreter, Google's potential use of DeepMind's sparrow, Japan's encouragement of generative AI tools in schools, Verbal Transactions' AI training for call center agents, poor customer service experiences and high turnover in call centers, challenges in natural language processing for AI-assisted learning, automation of work tasks and identifying skill gaps, reliance on AI for employee training and backup plans, getting comfortable with AI technology and utilizing free resources, and insights from Verbal Transactions on automating workflow using AI technology.

Insights

AI-assisted learning can improve productivity and enable proactive decision-making.

By combining structured and unstructured data, AI-assisted learning can enhance the learning experience and help individuals make better decisions.

System failures and backup plans are crucial considerations when relying on AI for employee training.

To mitigate the risks of system downtime and power outages, it is important to have backup plans in place and provide employees with access to alternative tools.

Starting small and utilizing free resources can help individuals get comfortable with AI technology.

By taking baby steps and leveraging free tools like Microsoft Teams, bot chatbot.com, and Amazon Alexa skills, individuals can gradually familiarize themselves with AI technology.

Chapters

  1. OpenAI's GPT4 API and Code Interpreter
  2. Google's Use of DeepMind's Sparrow
  3. Japan's Encouragement of Generative AI Tools in Schools
  4. Verbal Transactions' AI Training for Call Center Agents
  5. Poor Customer Service Experiences and High Turnover in Call Centers
  6. AI-assisted Learning and Challenges in Natural Language Processing
  7. Automation of Work Tasks and Identifying Skill Gaps
  8. Reliance on AI for Employee Training and Backup Plans
  9. Getting Comfortable with AI Technology and Utilizing Free Resources
  10. Automating Workflow and Insights from Verbal Transactions
Summary
Transcript

OpenAI's GPT4 API and Code Interpreter

00:01 - 07:26

  • OpenAI has made GPT4 API and code interpreter available to all paying customers, leading to better quality in external tools.

Google's Use of DeepMind's Sparrow

00:01 - 07:26

  • Google may start using DeepMind's sparrow as a chat GPT competitor.

Japan's Encouragement of Generative AI Tools in Schools

00:01 - 07:26

  • Japan is actively allowing and encouraging the use of generative AI tools like GPT in schools.

Verbal Transactions' AI Training for Call Center Agents

00:01 - 07:26

  • Verbal Transactions is an enterprise learning company that uses AI to train call center agents.
  • They leverage natural language processing to create a hands-on immersive simulator for training.
  • A bot acts as a coach, providing real-time feedback and guidance during the training process.
  • The reception to this technology has been positive, with employees appreciating the proactive approach to catching mistakes and improving customer service.

Poor Customer Service Experiences and High Turnover in Call Centers

07:00 - 14:20

  • Poor customer service experiences lead to 70% of brand defections.
  • High turnover in call centers contributes to poor customer service experiences.

AI-assisted Learning and Challenges in Natural Language Processing

07:00 - 14:20

  • AI-assisted learning can combine structured and unstructured data to increase productivity and enable proactive decision-making.
  • The use of bots for interaction is becoming more prevalent, but natural language processing still faces challenges with spoken language.
  • The goal is to achieve natural language interaction in the enterprise and consumer products.

Automation of Work Tasks and Identifying Skill Gaps

07:00 - 14:20

  • AI can be used to automate observations in work tasks, such as monitoring employee behavior or preventing accidents.
  • AI can identify skill gaps in real-time and enable proactive coaching.
  • Companies often rely on outdated learning tracking methods that do not measure skill gaps effectively.
  • Dependency on AI systems raises concerns about system failures and the need for backup plans.

Reliance on AI for Employee Training and Backup Plans

13:51 - 20:39

  • Reliance on AI for employee training raises concerns about system downtime and power outages.
  • Having a backup plan and providing employees with access to alternative tools is crucial.
  • The integration of AI into every part of a business increases the risk of system failures.
  • Analog systems can be considered as a backup option, although typewriters may not be practical.

Getting Comfortable with AI Technology and Utilizing Free Resources

13:51 - 20:39

  • To work better with AI, individuals can start by getting comfortable with technology in baby steps.
  • Microsoft Teams, bot chatbot.com, and Amazon Alexa skills are free tools that allow users to create their own bots or automate tasks at home.
  • Starting small and utilizing free resources like Alexa skills templates is recommended.
  • Department managers or small business owners can use AI to train employees by leveraging existing tools with AI components, such as Google or Microsoft's automation workflows and PowerPoint's design features.

Automating Workflow and Insights from Verbal Transactions

20:13 - 21:35

  • Start automating your workflow by identifying tasks that can be automated.
  • Nancy from Verbal Transactions shares insights on using AI technology.
  • Visit everydayai.com for more information and sign up for the daily newsletter.
  • Everyday AI provides actionable next steps to help you utilize AI technology.
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