In this episode, I'm sitting down with Kit Cox, Founder & CTO of Enate, exploring Kit's journey from a young coder (BBC Basic anyone?) to the founder of a workflow automation platform.

We discuss the evolution of Enate, its applications in service delivery, and real-world use cases, particularly in the B2B sector.

Kit explains how Enate helps organizations operationalize AI, improve customer experiences, and drive business growth. Our conversation highlights the importance of sentiment analysis and the need for organizations to adapt to new technologies to remain competitive.

Chapters

• 00:00 Introduction to Conversational AI and Innate AI
• 00:09 Kit's Journey: From Coding to AI Solutions
• 04:01 Understanding Innate AI's Workflow Platform
• 08:08 Real-World Applications: Case Study of TMF
• 12:16 The Role of AI in Service Delivery
• 15:57 Extensibility and Integration of Innate AI
• 16:00 Innovative Use Cases and Customer Success Stories
• 24:14 Operationalizing AI in Business
• 26:33 Deployment Strategies for Innate AI

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