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Everything you need to know about podcast advertising.
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Join Ads Marketplace to earn through podcast sponsorships.
Manage your ads with dynamic ad insertion capability.
Monetize with Apple Podcasts Subscriptions via Podbean.
Earn rewards and recurring income from Fan Club membership.
Get the answers and support you need.
Resources and guides to launch, grow, and monetize podcast.
Stay updated with the latest podcasting tips and trends.
Check out our newest and recently released features!
Podcast interviews, best practices, and helpful tips.
The step-by-step guide to start your own podcast.
Create the best live podcast and engage your audience.
Tips on making the decision to monetize your podcast.
The best ways to get more eyes and ears on your podcast.
Everything you need to know about podcast advertising.
The ultimate guide to recording a podcast on your phone.
Steps to set up and use group recording in the Podbean app.
Ep 251 - Dr. Shmuel Kliger on Causely, Causal AI, and the Challenging Journey to Reduce IT Labor
Dr. Shmuel Kliger, the founder of Causely.io, discusses his journey in the IT industry and the development of Causely. With a strong focus on reducing labor associated with IT operations, Dr. Kliger emphasizes the importance of understanding causality and building intelligent systems to drive insights and actions in complex IT environments. He highlights the need to focus on purpose-driven analytics and structured causality models to effectively manage and control IT systems.
Dr. Kliger also touches on the role of human interaction in influencing system behavior, mentioning the importance of defining constraints and trade-offs to guide automated decision-making processes. He envisions a future where humans provide high-level objectives and constraints, allowing the system to automatically configure, deploy, and optimize applications based on these inputs. By combining human knowledge with machine learning capabilities, Dr. Kliger aims to create a more efficient and effective approach to IT management, ultimately reducing troubleshooting time and improving system performance.
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