Hi Everyone,

Well it has been a year of publishing the newsletter, I thought it would be worth a moment to reflect on what we have talked about, and maybe remind you of some content that might be useful to you.

We always like you to get the most value out of the newsletter, in addition to the email version of the newsletter there is a supporting website where you can log on and get to all the previous versions. You can also, share, and comment and do all the usual things.

Thanks for reading.

Paul

Table of Contents

• It’s Been a Year

  • AI in Customer Service

  • AI Technologies and Tools

  • AI for Business Professionals

  • AI in Predictive Analytics

  • Industry Events and Announcements

  • Practical AI Applications

• Some recommended back issues

  • Getting Started in AI: Start Here

  • Learning to Prompt

  • A Deeper Understanding: More In-Depth Knowledge

  • How to Have Fun with AI

  • All About Visual, Video, and Creativity

  • Risks, Ethics, and Legals

• Llama 3 releases

• Some links to have a look at

  • Mango's AI-Generated Campaign: Changing the face o …

• New releases of models

It’s Been a Year

Over the past year, we have covered a wide range of topics, providing valuable insights and updates in the rapidly evolving field of artificial intelligence. Here’s a recap of the key themes and highlights we explored.

AI in Customer Service

Chatbots and Live Chat: In "Let's Chat | Issue 42," we examined the advancements and challenges of AI-driven customer service. We discussed the benefits of AI chatbots in enhancing customer experience and noted significant failures when these systems malfunction, such as the incidents with Air Canada and Microsoft Copilot.

Case Studies: Klarna's success with AI chatbots was highlighted, showcasing efficiency gains, cost reduction, and 24/7 availability. We emphasized the importance of balancing AI and human agents to maintain customer trust.

AI Technologies and Tools

Visualization and Image Generation: Throughout the year, we covered advancements in AI for visual content creation. Tools like MidJourney and Leonardo.ai were discussed for their new features, such as "Consistent Characters," which help in creating consistent images for storyboards and animations.

Text to Video: Significant strides in text-to-video technologies were also highlighted, with tools like Runway Gen Version 3 leading the way.

agents: Early thoughts and guidance on agents and bots in “Here come the bots | Issue 17”

AI for Business Professionals

Anthropic's Claude.ai: In "I spent some time with Claude.ai | Issue 41," we compared Claude with ChatGPT, focusing on features, tone of voice, and performance benchmarks. We highlighted Claude's advantages in professional tone and its unique artifacts feature for better workflow management.

Microsoft's AI Ecosystem: Several issues, such as "Microsoft Build Event | Issue 38," discussed Microsoft's comprehensive AI strategy, including the integration of AI co-pilots into their suite of products and the advancements in tools like Power Automate and Co-Pilot Studio.

AI in Predictive Analytics

Euro 2024 Predictions: In a playful yet insightful approach, "A Goat VS AI who can predict the Euro 2024 Results? | Issue 40" examined the predictive capabilities of various AI models compared to a goat named Ronald. This issue explored the use of AI in sports analytics, showcasing different methodologies and their outcomes.

Industry Events and Announcements

-Google I/O and OpenAI: We covered major industry events, analyzing announcements from Google I/O and OpenAI. "Google It | Issue 37" and "May the Announcements be with you | Issue 36" provided summaries and critical analysis of new products, features, and the competitive landscape between tech giants.

Practical AI Applications

-Product Launches and Marketing: Using frameworks like COAST for structured AI project planning, we offered practical advice for integrating AI into business strategies. Examples included developing marketing and launch plans for hypothetical products, demonstrating AI's utility in business contexts.

Responsible AI Use: Discussions on ethical AI use were prominent, with lessons from major tech firms on managing AI deployment responsibly. Topics included red team testing for AI models, bias detection, and ensuring transparency and fairness in AI applications.