In today's episode, we're meeting ⁠Darren Ford⁠, the Founder and Director of ⁠The CAI Company⁠.

Darren and his team are amongst the most experienced Conversational AI experts around, having driven the strategies and implementations for some of the largest players around.

Our discussion is wide-ranging. We start first with Darren's background and the origin story of ⁠The CAI Company⁠. Then we get into some key use cases, he talks about how consumer acceptance is really changing (for the positive) and he highlights some of the key requirements for any successful implementation -- namely, executive sponsorship and commitment, data-led decision making and the importance of talent development.

Reach out to Darren ⁠at his company website⁠ or ⁠via his LinkedIn Profile⁠.

Chapters

• 00:00 Introduction to Conversational AI and CAI Company
• 02:47 Darren's Background and the Origin of CAI Company
• 04:10 Use Cases and Growth of Conversational AI
• 10:08 Consumer Acceptance and Chatbot Horror Stories
• 12:30 Generative AI and Executive Awareness
• 15:48 Talent Development in Conversational AI
• 18:44 Ethics in Conversational AI
• 20:59 Internal vs External Chatbots
• 23:46 Key Considerations for Executives in Conversational AI

Keywords

Conversational AI, CAI Company, chatbot, generative AI, voice technology, user experience, ethics, talent development, executive awareness, use cases

In today's episode, I'm speaking with Ellen Keenan-O'Malley, a commercial IP lawyer at EIP, about the legal challenges surrounding Artificial Intelligence and Conversational AI.

We discuss the current state of AI law, the implications of GDPR on Conversational AI, and the importance of understanding liability in AI solutions.

Ellen emphasizes the need for companies to consider legal aspects from the outset of AI development and highlights the evolving role of legal professionals in the tech landscape.

If you've got any questions around the topic of intellectual property and AI, I would strongly recommend reaching out to Ellen for a conversation via her corporate profile on EIP.com or her LinkedIn profile.

Takeaways

• AI law is currently ambiguous and evolving.
• Companies often approach lawyers at the last minute.
• Data protection is a significant concern in conversational AI.
• Existing laws like GDPR still apply to AI technologies.
• Indemnity provisions are crucial for AI vendors.
• Legal considerations should be integrated from the start of AI projects.
• Human intervention is necessary to mitigate AI risks.
• AI can enhance efficiency in the legal profession.
• The legal profession must adapt to the rise of AI.
• Engaging with legal experts early can save time and resources.

Chapters

• 00:00 Introduction to AI Legal Issues
• 03:38 Navigating AI Regulations and Compliance
• 08:36 Understanding Liability in AI Implementations
• 11:15 The Role of Legal Professionals in AI Development
• 15:17 Future of AI in the Legal Profession

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