November 2024 AI Pulse

11/18/24 • 46 min

In this episode of Disambiguation, co-hosted with Tom Pringle, we dive into the November edition of AI Pulse, where we explore the latest developments in AI, generative AI, and business automation. We discuss the current state of AI news, noting a slight decrease in dramatic headlines compared to previous cycles, which may indicate a maturation of the industry.
Michael shares insights from his recent work on language models, highlighting the emergence of industry-specific models from Microsoft and Google's new developments in large language models that mimic smaller models' efficiency. We delve into the concept of Relaxed Recursive Transformers (RPTs) and their potential to optimize resource usage.
The conversation shifts to the importance of model specificity, particularly in business processes, where tailored models can enhance productivity. We also touch on the intriguing idea of large behavior models (LBMs) that focus on understanding human emotions, which could revolutionize customer service interactions.
As we navigate through the implications of AI in business, we consider the balance between structured and unstructured activities, emphasizing the need for human creativity in decision-making processes. We also discuss the ongoing interest from venture capitalists in AI startups, with significant funding rounds indicating a robust future for AI innovation.
Overall, this episode provides a comprehensive overview of the current AI landscape, the challenges and opportunities it presents, and the critical role of human insight in leveraging these technologies effectively. Join us as we unpack these topics and more in our ongoing exploration of AI's impact on business.

Previous Episode

AI Trends for 2025

In this episode of Disambiguation I introduce a unique format where we dive into the AI Trends for 2025, based on our recently published research brief from Arion Research. Instead of presenting the findings myself, I feature an engaging interview with Avatar co-hosts Julia and Joshua, who explore twelve major trends shaping the future of AI.
We kick off with the rise of specialized language models, which are fine-tuned for specific industries like healthcare and law, enhancing efficiency and accuracy. The conversation then shifts to large action models, capable of not just analyzing data but also taking real-time actions, revolutionizing how AI interacts with complex processes.
Next, we discuss liquid foundation models, which are dynamic and continuously learning, contrasting with traditional static models. The episode also highlights the growing importance of decision intelligence and predictive analytics, showcasing AI's potential in various sectors, including healthcare and finance.
As we delve deeper, we explore autonomous agents, which can operate with minimal human intervention, raising questions about the future of the workforce. We also touch on multimodal and multitask models that can process various data types simultaneously, enhancing customer service experiences.
Ethical considerations are paramount as we discuss responsible and explainable AI, alongside the need for regulations to ensure AI development aligns with human values. The episode further examines AI-powered personalization in B2B environments and the innovative use of synthetic data to protect privacy.
We conclude with a look at edge AI, which brings processing power closer to the data source, and the importance of sustainable AI practices to minimize environmental impact. Throughout the discussion, we emphasize the need for workforce development to adapt to the evolving job landscape shaped by AI.
Read the Research Brief: https://www.arionresearch.com/research-briefs/ai-trends-for-2025

Next Episode

Orchestrating Innovation: AI's Role in Empowering Knowledge Workers

Welcome to this episode of Disambiguation! Join host Michael Fauscette as he dives deep into the world of AI, generative AI, and business automation with expert guest Asim Rizvi, founder and CEO of Momba AI.
In this episode, we explore the concept of orchestrating innovation and how AI is empowering knowledge workers. Asim shares his extensive experience in the technology and innovation space, discussing the evolution of AI value tiers, the significance of agentic AI, and the future of application innovation.Key topics include:-The role of hardware, language models, and applications in AI development
-The commoditization of language models and the promise of the application layer
-The importance of a human-centric approach to user experience in AI applications
-How agentic AI can reshape knowledge work, allowing workers to become orchestrators rather than just executors
-Insights into the future of AI funding and the potential for innovation in the application layer
Tune in to gain valuable insights on how businesses can leverage AI for maximum impact and prepare for the future of work!
Don't forget to like, subscribe, and hit the notification bell for more episodes on AI and business automation!

Disambiguation - November 2024 AI Pulse

Transcript

Michael Fauscette:

Welcome to disambiguation. I'm your host, Michael Fauscette Each week, we interview experts in AI, generative AI, and business automation to help business leaders understand how to use these tools for the biggest business impact. Welcome. Our show today is the November edition of AI Pulse. You probably noticed that Tom Pringle, Director of Pilot Research, my co-host, is hanging out here with me, so that should be a good sign. And if you don't know, if you haven't liste