Project Flux
Project Flux is a pioneering podcast that explores the transformative impact of Artificial Intelligence across various industries, including construction, music, infrastructure, and life sciences, with a focus on revolutionising the project delivery profession. Each episode brings to light how AI is redefining efficiency, innovation, and strategic decision-making in project management. Through engaging conversations with industry leaders, technologists, and forward-thinkers, the podcast offers a comprehensive look at the challenges and opportunities AI introduces, the nuances of its integration, and its potential to reshape project delivery on a global scale.
Project Flux is the go-to resource for professionals seeking to navigate the evolving landscape of AI in project delivery, offering insights, strategies, and inspiration to harness the power of AI for a more innovative and effective future.
Project Flux
Flux Forward - Project Flux Predicts the AI Innovations of 2025
In this episode of the Project Flux podcast, we discuss our predictions for AI in 2025. We explore the rise of large AI models, the shift towards smaller specialised models, and the emergence of agentic workflows. The conversation also covers advancements in memory and attention, the future of robotic AI, and the adoption of generative AI in organisations. Additionally, we delve into AI's impact on wealth management, healthcare innovations, spatial computing, the importance of data centres, and the competitive landscape between the US and China in AI development. The episode concludes with a discussion on AI safety levels and the role of AI in retail personalisation.
Takeaways
- 2025 is expected to be a significant year for AI advancements.
- Larger AI models will continue to evolve, but data scarcity poses challenges.
- Smaller, specialised AI models will provide better ROI for businesses.
- Agentic workflows will become more mainstream, allowing for more autonomous systems.
- Improvements in memory and attention will enhance AI's ability to understand users.
- Robotic AI will start to bridge the gap between humans and machines in various sectors.
- Generative AI adoption is still a work in progress, with companies learning to integrate it effectively.
- AI will hyper-personalize insights in wealth management, impacting financial decision-making.
- Healthcare will see innovations in treating diseases, aided by AI technologies.
- Spatial computing will experiment with AI, particularly in healthcare and surgery.
Chapters
00:00 New Year, New Predictions for AI
03:10 The Rise of Large AI Models
05:48 The Shift to Smaller, Efficient Models
08:39 Agentic Workflows and Multimodal Architectures
11:31 Enhancements in Memory and Attention
14:26 The Emergence of Robotic AI
17:23 Generative AI's Impact on Business Adoption
18:53 AI Deployment and Wealth Management
22:10 Healthcare Innovations and AI
24:56 Spatial Computing in Medicine
27:03 Data Centers and AI Infrastructure
28:48 Mergers and Acquisitions in AI
30:01 AI and Cryptocurrency Convergence
31:41 US-China AI Supremacy Race
34:43 AI Safety Levels and Ethical Considerations
37:21 AI in Retail and Personalization
39:18 Introduction and Sponsorship Highlights
39:41 Engagement and Community Building
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