Poddavsnitt
4 transkriberade avsnitt från vår poddbevakning, med AI-genererade sammanfattningar och nyckelord.
AI
A16z Podcast 43
Ai Daily Brief 37
The_cognitive_revolution 15
Practical Ai 15
The Ai In Business Podcast 15
Practical Ai (2) 14
Ai Applied 14
Latent_space 13
Leveraging Ai 13
The Artificial Intelligence Show 12
The Neuron Ai Explained 11
Ai Till Kaffet 7
No_priors 6
Vad Fan Skall Ja Ha Ai Till 6
The Artificial Intelligence Podcast Dr Tony Hoang 4
Last Week In Ai 4
Snacka Om Ai 4
Dwarkesh_podcast 4
Ai Och Hr Podden 3
Ai Podden 2
Ai Med Sibbe 1
Exponential Wisdom 1
Interview with Jeff (Macmillan AI)
Dr. Tony Huang interviews Jeff, the founder of Macmillan AI and former Chief AI Officer at Morgan Stanley. They discuss the evolution of AI in financial services, the criteria for survival among the thousands of current AI startups, and the shifting "build vs. buy" calculus for large enterprises.
Diskussion bei splunk.conf in Denver über KI-Agenten und Modellstrategien
Ein Gespräch während der splunk.conf in Denver über die Implementierung von KI-Agenten als digitale Co-Arbeiter. Die Diskussion konzentriert sich auf die Notwendigkeit präziser Instruktionen, die Herausforderungen bei der Vertrauensbildung sowie die ökonomische und technische Abwägung zwischen Frontier-Modellen, kleinen Sprachmodellen (SLMs) und Open-Weights-Modellen.
Interview with Hao Yan
Tony Huang interviews Hao Yan, VP of AI at Splunk, regarding the role of small models in evaluating frontier models, the necessity of domain-specific models for machine data, and the trade-offs between cost, value, and sovereignty in enterprise AI deployment.
Interview with Cisco/Splunk Representative on Enterprise AI and Data
A discussion regarding the evolution of enterprise data management, the shift in machine data pricing models at Splunk, and the challenges of scaling agentic AI. The conversation covers the tension between data centralization and decentralization, the necessity of AI for security against machine-speed threats, and the strategy of using domain-specific foundation models.