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Insights from Ladies Leading Tech: Dr Joan Palmiter Bajorek on Conversational AI, Career Resilience and Human-Centred Tech

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Manage episode 473189303 series 2948262
Content provided by Nicola Steel. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Nicola Steel or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

In this episode of AI for Good, Nicola Steel speaks with Dr Joan Palmiter Bajorek, Innovation Evangelist, Founder of Clarity AI, and author of Your AI Roadmap. Joan brings her deep expertise in conversational AI, career development, and personalised data-driven tech to this human-focused conversation.

Joan shares how her love for languages and linguistics sparked her passion for conversational AI and led her to roles in academia, tech, and entrepreneurship. Together, Nicola and Joan explore the power of AI to enhance - not replace - human connection, particularly in the job search and mental health spaces.

Joan and Nicola discuss:

🧠 How conversational AI is evolving and why simplicity in design matters

💼 Career advice for breaking into AI, from networking to personal branding

📚 Joan’s book Your AI Roadmap and her mission to make AI careers accessible

🌱 The importance of career resilience and mental health tools like Wobot and Career Flow

🌐 Clarity AI’s real-world impact through custom data and AI solutions, including preventative healthcare innovations using smart IoT devices

This episode blends practical career advice, thought leadership, and real-world examples of how AI can improve lives - while keeping the human at the centre. A must-listen for job seekers, tech professionals, and anyone passionate about ethical AI and career empowerment.

Here are the resources discussed in the episode:

Free Personalized Roadmap Quiz: YourAIRoadmap.com/me

Your AI Roadmap Book: YourAIRoadmap.com

Joan's Podcast: YourAIRoadmap.com/podcast

  continue reading

88 episodes

Artwork
iconShare
 
Manage episode 473189303 series 2948262
Content provided by Nicola Steel. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Nicola Steel or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

In this episode of AI for Good, Nicola Steel speaks with Dr Joan Palmiter Bajorek, Innovation Evangelist, Founder of Clarity AI, and author of Your AI Roadmap. Joan brings her deep expertise in conversational AI, career development, and personalised data-driven tech to this human-focused conversation.

Joan shares how her love for languages and linguistics sparked her passion for conversational AI and led her to roles in academia, tech, and entrepreneurship. Together, Nicola and Joan explore the power of AI to enhance - not replace - human connection, particularly in the job search and mental health spaces.

Joan and Nicola discuss:

🧠 How conversational AI is evolving and why simplicity in design matters

💼 Career advice for breaking into AI, from networking to personal branding

📚 Joan’s book Your AI Roadmap and her mission to make AI careers accessible

🌱 The importance of career resilience and mental health tools like Wobot and Career Flow

🌐 Clarity AI’s real-world impact through custom data and AI solutions, including preventative healthcare innovations using smart IoT devices

This episode blends practical career advice, thought leadership, and real-world examples of how AI can improve lives - while keeping the human at the centre. A must-listen for job seekers, tech professionals, and anyone passionate about ethical AI and career empowerment.

Here are the resources discussed in the episode:

Free Personalized Roadmap Quiz: YourAIRoadmap.com/me

Your AI Roadmap Book: YourAIRoadmap.com

Joan's Podcast: YourAIRoadmap.com/podcast

  continue reading

88 episodes

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