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Observability 2025: A Conversation with Mehdi Daoudi, CEO of Catchpoint Systems

In this episode, Mehdi Daoudi, CEO of Catchpoint Systems, shares insights on the future of observability, AI-driven automation, and Self-Healing IT (SHIT).
Key Takeaways:
🔹 The Birth of Observability: Mehdi’s DoubleClick outage fueled his passion for performance monitoring, leading to Catchpoint’s creation in 2008.
🔹 The Future: AI-Driven, Self-Healing IT (SHIT):
In 2025, IT leaders will wake up to reports of incidents detected, mitigated, and resolved overnight—without human intervention.
🔹 Automated Resilience & Multi-Cloud Strategies:
CDN Switching: Companies like LinkedIn & eBay already automate real-time CDN optimizations for seamless performance.
Cloud Failover: Businesses are leveraging multi-cloud strategies to dynamically reroute workloads, ensuring zero downtime.
🔹 Lessons in Leadership:
Hiring Right is key—bad hires cost time and resources.
Stoicism for CEOs: Focus on what you can control and stop stressing over what you can’t.
🔹 Embrace AI, Don’t Fear It: AI won’t replace humans. Ai is here to augment IT teams and accelerate mean-time-to-resolution (MTTR).
Mehdi’s vision for Observability 2025? AI-powered SHIT (Self-Healing IT), AI-SHIT, where monitoring tools detect, diagnose, and fix issues mitigating user impact.

#Observability2025 #AIinBusiness #AIOps #TechLeadership #DigitalTransformation

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In this episode of Unriveted, we welcome Chip Huyen's dive into all things artificial intelligence, joined by the stellar Chip Huyen, an AI aficionado, Stanford educator, and Amazon-bestselling author. Hereâ s the highlight reel:

1ï¸ â £ AI 2025: Predicting the Unpredictable
Chip reflects on how AI has advanced like a viral meme: fast, surprising, and sometimes incomprehensible. She shares optimism for use cases fueled by safer, post-trained models (bye-bye pre-training hype). Prediction? More â Agentic AIâ taking charge, like giving Siri a caffeine shot to supercharge her decision-making.
2ï¸ â £ Hallucination Nation
Discussing AI's â creativeâ outputs, Chip says hallucinations arenâ t always bad, perfect for storytelling but dicey for legal or medical advice. Pro tip: Fact-check your AI-generated haikus!
3ï¸ â £ Synthetic Data to the Rescue
Martin raves about using AI-generated data to balance datasets. Think of it as the ultimate diversity champion: synthesizing data to curb bias and ensure fair training.
4ï¸ â £ Transformer Talk & Green Tech Dreams
While Transformers dominate AI architecture, Chip warns they may need an upgrade for efficiency. The AI revolution isn't exactly eco-friendly, but innovations like photon-powered hardware might save us from melting glaciers... eventually.
5ï¸ â £ Agentic AI: Calculators, Planning, and the Great Web Crawl
Agentic AI (think Jarvis but for spreadsheets) is on the rise. Challenges? Getting models to plan without running amok or draining company wallets with infinite API calls. Chip imagines a future where AI "plans" better than your quarterly meetings (low bar, we know).
ð ¡ Pro Tip from Chip: Learning is a privilege, not a chore. Stay curious, take risks, and embrace every chance to learnâ even if it means wading into the deep end of innovation.

Topics:
AI Engineering, Digital Transformation, Machine Learning, Synthetic Data, Energy Efficiency, Agentic AI, Hallucinations, 2025 Predictions, Evaluation-driven Development, Transformer Models

Hash Tags:
#AIEngineering
#DigitalTransformation
#MachineLearning
#SyntheticData
#EnergyEfficiency
#AgenticAI
#AIPredictions2025
#EvaluationDrivenDevelopment
#TransformerModels
#AIHallucinations
#AIInnovation
#GreenAI
#FutureOfAI
#TechBuzz
#AIForGood

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In this episode of the Unriveted Podcast, we welcome back Dr. Joan Palmiter-Bajorek to discuss the evolving landscape of artificial intelligence and digital transformation. The conversation covers the democratization of AI tools, the critical importance of clean data, the challenges of bias in AI models, and the future of AI companies. Dr. Bajorek emphasizes the human element in AI development and addresses the anxiety many face regarding careers in the AI era. The episode concludes with insights on navigating these challenges and the importance of resilience in the changing job market.

Also Dr. Joan’s book: Your AI Roadmap is available from Amazon.com for preorder.

Takeaways
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👉 The democratization of AI tools allows more people to build applications.
👉 Data quality is crucial for effective AI and machine learning models.
👉 Bias in AI models often stems from the data they are trained on.
👉 The future of AI may see fewer viable companies due to high costs.
👉 Human relationships and understanding are key in AI development.
👉 Career anxiety is prevalent as AI continues to evolve.
👉 Resilience is essential for individuals navigating the AI landscape.
👉 The AI landscape is rapidly changing, requiring adaptability from businesses.

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