So, today I got access to ChatGPT's Agent feature and I wanted to record something for posterity. This one is best viewed on Spotify or YouTube if you'd like to see the live screenshare as I'm talking, otherwise I do my best to describe things as we go.

My chosen task for Agent was this: Login to my LinkedIn, accept some recent connection requests and say "Thank you for the add, [Firstname]" to each connection.

Simple, I know, but I wanted to keep things simple and easy. It handled things really, really well -- so much so, that I felt myself being 'upgraded' (or wanting to upgrade) to the $200 ChatGPT subscription as I watched it work. See what you make of it!

In this episode, I'm talking through a case study about how NatWest Bank in the United Kingdom is using Generative AI to analyse the output of their Conversational AI (chatbot) system, Cora.

The source is a post by Wendy Redshaw on LinkedIn. Wendy is the bank's Chief Digital & Information Officer. You can find her post right here.

Takeaways

• I'm a fan of NatWest and follows their executive output.
• NatWest is using generative AI in a careful and controlled manner.
• Generative AI adds value primarily through conversation.
• Cora, NatWest's chatbot, is a key use case for generative AI.
• 7,000 conversations have been summarized using generative AI.
• Human review is essential for evaluating AI performance.
• The average rating for AI-generated summaries is 4.95 out of 5.
• Understanding customer complaints is crucial for financial institutions.
• NatWest uses the Lama 3.3 model from Meta through Watson X.

Chapters

• 00:00 Introduction to NatWest and Generative AI
• 02:51 Exploring NatWest's Chatbot Cora and Its Impact
• 05:44 Evaluating AI Performance and Customer Insights
• 09:08 Technology Behind NatWest's AI Initiatives

I'm taking a little bit of a departure in this episode because I'm talking about some of my activities today to create an app that I wanted to use for myself. And I did this using Claude across the space of about two hours -- and although I've been doing this very regularly, I can't help but be incredibly impressed and enormously reflective on what the power and capability of these tools means for commerce, enterprise and society. So this is a Stream of Consciousness episode.

And in case you were wondering, I used my own little piece of software to dictate this text. Watch or listen to the episode to find out more.

In this episode I had the pleasure of interviewing Paul Walker, Global Solutions Director at iManage. With 25 years of experience in legal tech, Paul offered valuable insights into how AI has evolved in the legal and professional services sectors.

We discussed how iManage specialises in knowledge work industries, particularly legal and accounting, and explored the revolutionary impact of generative AI. Paul explained how AI has transformed the way organisations manage unstructured data, significantly reducing the lead time for extracting answers from this information.

A key point Paul highlighted was how AI now provides crucial context to unstructured data, substantially enhancing its value. Throughout our conversation, he emphasised that curiosity is essential for effectively adopting and leveraging AI technologies.

Looking to the future, we discussed how AI interfaces might evolve beyond traditional prompts toward more intuitive interactions.

One of the most practical takeaways was how AI can boost productivity by automating laborious tasks, with Paul predicting that the integration of AI into workflows will become increasingly seamless over time.

Check out Paul's LinkedIn profile and find out more about iManage at www.imanage.com.

In this episode, I'm looking at a very, very simple query I put to Google's Gemini regarding my email inbox. Oh dear.

Hold the Agentic AI Revolution for a few minutes.

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 Enate's 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