

AI for Observability (Go Time #335)
Oct 23, 2024
Yasir Ekinci, a machine learning and observability expert from Grafana Labs, joins the discussion on the surge of Generative AI in observability tools. He delves into the evolution of data mining and how AI can enhance user experiences. The conversation touches on the challenges of predictive analytics and the need for adaptive monitoring amidst rising data breaches. Yasir also humorously reflects on the implications of AI, weaving personal anecdotes with philosophical musings on authenticity and digital interaction.
Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8
Intro
00:00 • 4min
AI Insights in Observability Tools
03:51 • 22min
The Overlooked World of Internal Software Development
25:49 • 4min
Harnessing AI for Predictive Analytics
30:17 • 15min
The Rising Threat of Data Breaches and the Need for Adaptive Monitoring
45:18 • 5min
Innovations in SIFT and SLO Management
50:30 • 10min
Rivers of Identity: AI and Authenticity
01:00:40 • 6min
Humorous Reflections and Future Anecdotes
01:06:38 • 3min