It's time to level up your training and upskill your employees with AI. 🚀

In our latest episode of Everyday AI, we dive into how to use AI to teach your employees new skills, guided by the incredible insights shared by our guest, Nancy Monroe, CEO of Verbal Transactions.

For more, check out our Episode page. If you want to join the convo and ask Jordan or Nancy questions, go here and chime in!

Time Stamps:
00:00:17 Using AI to train and improve employees
00:04:16 Focused on call center training using simulation, NLP, and bot.
00:09:57 Talking, chatting, and observing with AI technology.
00:14:14 Access to clean water and backup plans.
00:16:53 Start small with Microsoft Teams, chatbot.com, and Alexa Skills.
00:19:09 Leverage AI tools to automate and improve workflows.

Topics covered in this Episode
- Introduction to the episode and the use of AI to teach employees
- Overview of Microsoft Teams and its bot creation feature
- Information about Chatbot.com and its free trial for chatbot creation
- Introduction to Amazon Alexa and its skills feature
- Examples of skills that can be used to control devices
- Discussion on the prevalence of automated features in consumer devices
- Recommendation to start small and take advantage of free options like Alexa Skills templates
- Speaker's recent panel discussion and what they can't live without
- Concerns about potential water system attacks and the need for backup plans and independent learning tools
- Examples of power outages in Texas causing freezing conditions
- Concerns about risks associated with relying heavily on AI, bots, and machines
- Speaker's personal experience installing smart technology and regret for not doing it sooner
- Benefits of working with smart technology and advice for others
- Question about using AI to train and upskill employees
- Updates from OpenAI on GPT-4 API and Code Interpreter
- Discussion on Google considering DeepMind's Sparrow as a competitor to chat GPT
- Use of generative AI tools like GPT in Japanese schools
- Introduction of guest Nancy Monroe and her company Verbal Transactions
- Explanation of structured and unstructured data and their impact on productivity and decision-making
- Description of software that tracks empathy and skills gaps in real time
- Comparison between SCORM based learning and the software's scalable skill gap measurement
- Acknowledgement of the importance of starting automation with existing workflow processes
- Insights from Nancy Monroe about Verbal Transactions
- Conclusion and invitation to visit everydayAI.com for more information and to sign up for the newsletter
- Focus of Everyday AI in providing actionable next steps in using AI technology
- Description of a simulation platform for call center agent learning
- Implementation of natural language processing and bot technology for real dialogue in simulations
- Comparison of one-on-one tutoring with traditional classroom training and peer-to-peer groups
- Use of bots as tutors for observing and interacting with agents in real time
- Utilization of NLP and bot technology for teaching new skills
- Frustration with limitations of text-based communication compared to voice technology
- Exploration of integrating voice technology into the enterprise
- COVID's role in making voice technology more access

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