Fireside AI
Fireside AI
Podcast Description
AI is transforming our world - in science, healthcare, finance, and beyond. With rapid advancements in large language models, automation, and machine learning, companies are racing to build smarter, more efficient systems that shape the future.
But how do you go from an AI idea to a scalable, impactful solution?
Building and scaling AI isn’t just about the technology. It’s also about making the right strategic decisions. AI founders need to consider everything from data quality and model performance to regulation, ethical concerns, and the infrastructure that’s needed to support large-scale deployment. Funding, hiring, and go-to-market strategies are just as critical as the algorithms themselves.
In each episode, we’ll bring you insights from AI founders, engineers and leaders who are building the next generation of technology companies.
Whether you’re an entrepreneur, developer, or just fascinated by the future of AI, this podcast will bring you expert knowledge, industry trends, and practical strategies to turn AI ideas into reality.
Podcast Insights
Content Themes
Focuses on AI technology development, scaling strategies, and ethical considerations, with episodes covering topics such as data quality in AI, the role of MLOps in startups, and the impact of conversational AI in authentic communication, including discussions with expert guests like Sarah Coward and Prassanna Ravishankar.
AI is transforming our world – in science, healthcare, finance, and beyond. With rapid advancements in large language models, automation, and machine learning, companies are racing to build smarter, more efficient systems that shape the future.
But how do you go from an AI idea to a scalable, impactful solution?
Building and scaling AI isn’t just about the technology. It’s also about making the right strategic decisions. AI founders need to consider everything from data quality and model performance to regulation, ethical concerns, and the infrastructure that’s needed to support large-scale deployment. Funding, hiring, and go-to-market strategies are just as critical as the algorithms themselves.
In each episode, we’ll bring you insights from AI founders, engineers and leaders who are building the next generation of technology companies.
Whether you’re an entrepreneur, developer, or just fascinated by the future of AI, this podcast will bring you expert knowledge, industry trends, and practical strategies to turn AI ideas into reality.
Check out the newsletter https://aixinsights.substack.com/
In this episode, we sit down with Bhagya Reddy, a data professional with over 20 years of experience, to discuss the critical importance of data literacy across organisations and how data skills can empower career transitions. Bhagya shares her journey of building a comprehensive data university at Virgin Media, training over 10,000 employees, and her passion project helping women and men return to work through data education.
What You’ll Learn
- How to scale data literacy across an entire organization – Bhagya shares her approach for training 10,000+ employees at Virgin Media, from initial resistance to widespread adoption and the impact it had
- Why data skills are perfect for career transitions – Discover how data education can empower women and men returning to work, and why data literacy skills are so important
- The secret to making data education stick – Learn the teaching techniques that actually work, from using everyday examples to creating engaging, self-service learning experiences
Resources & Links – connect with Bhagya:
- LinkedIn: Bhagya Reddy
- Website: trainingindata.com
- Email: contact@trainingindata.com
Guest Bio
Bhagya Reddy is a seasoned data professional with 20+ years of experience currently working at Virgin Media. She’s a passionate advocate for data democratisation and sustainability, and the founder of Training in Data, an organisation dedicated to helping people transition back into careers through data education.
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