In this episode, I'm speaking with Neil Marley, CEO of Qualyfi, about askQ, the dedicated AI assistant built for technology delivery and consulting teams.

AskQ is an LLM/RAG-enabled solution that provides 24/7 contextual answers for anyone working in your technology environment - so it's especially useful for consulting and tech delivery teams.

We discuss the evolution of technology delivery, the role of AI in training and development, and the challenges faced by organisations in standardising processes.

Neil shares insights on how Qualyfi aims to democratise knowledge and provide opportunities for individuals from diverse backgrounds to excel in tech delivery. We also explore the future implications of AI on the tech industry and how organisations can leverage these advancements for competitive advantage.

You contact Neil on LinkedIn or via the company's website at qualify.co.uk.

Takeaways

• AI is at a similar maturity stage as the public cloud was in its early days.
• Qualyfi aims to open opportunities for individuals without traditional academic backgrounds.
• The AskQ service combines Qualyfi's IP with an LLM to provide relevant answers to users on demand.
• Training and mentoring are crucial for early career development in tech.
• AI can significantly reduce the time required for tasks like creating statements of work.
• Standardization in tech delivery is essential for efficiency and risk management.
• Qualyfi's approach focuses on empathy and determination in selecting candidates.
• The future of tech delivery will involve smaller teams using software agents.
• Organisations need to adapt their talent acquisition strategies to include AI tools.

Chapters

• 00:00 Introduction and Background
• 00:31 The Rise of Public Cloud and AI
• 02:30 Qualify's Mission and Methodology
• 05:26 The Role of Conversational AI in Training
• 08:22 Humanising the Learning Journey
• 10:47 Challenges in Tech Delivery
• 13:49 Qualify's Service Offerings
• 16:26 The Future of Tech Delivery with AI
• 19:38 Implications of AI on Workforce Dynamics
• 22:40 Navigating the Current AI Landscape
• 25:28 Conclusion and Call to Action