The Cloudcast

Massive Studios
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Jun 12, 2024 • 36min

Modern Approaches to Continuous Integration

Solomon Hykes, Co-Founder @Dagger_io, discusses the evolution of the container industry, advantages of Dagger in abstracting CI/CD pipelines, lessons learned from Docker days, and metrics for measuring Dagger's success. The podcast delves into streamlining DevOps pipelines, transitioning to containerized components, empowering app teams with Dagger, and integrating AI coding assistance in development ecosystems.
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Jun 9, 2024 • 25min

How Today's AI is like the Early 2010s

Exploring parallels between early 2010s IT landscape and current AI trends, focusing on breaking away from corporate IT, data governance challenges, and the shift towards AI First policies. Contrasting cloud-native and cloud-migrated approaches, and the significance of consumer AI in job functions.
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Jun 5, 2024 • 56min

Cloud News of the Month - May 2024

Brian Gracely and Brandon Whichard discuss trends in Cloud and AI for May 2024. Topics include the evolution of Cloud conversations, the impact of large acquisitions, the shift towards a constant trade show season, and the influence of AI on enterprise discussions. They also touch on the challenges faced by venture capitalists during the pandemic and reflect on Broadcom's control over VMware and the severance from AWS.
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Jun 2, 2024 • 26min

How Today's AI is like the Early 2000s

Exploring the parallels between today's AI era and the early 2000s internet boom, the podcast dives into the transformative potential of GenAI. Discussing challenges such as accuracy validation and high costs, it highlights the shift towards consumer adoption before enterprise. GenAI is seen as a tool to offload tasks rather than enhancing skills, with ongoing exploration of its business models.
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May 29, 2024 • 38min

Understanding and Advising CIOs

Tim Crawford, CIO Advisor at AVOAcom, discusses the challenges of modern CIOs balancing stability vs. innovation, and the importance of understanding the business value of technology. Topics include CIO mindset, balancing operational stability with innovation, and real-world examples of managing stable vs. innovative technologies.
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24 snips
May 26, 2024 • 35min

Is Everyone's AI Strategy in Chaos?

Exploring the chaos in AI strategies across major tech companies like NVIDIA, Google, and Microsoft. Discussing uncertainties in the cloud computing market and the evolving landscape of AI strategies. Delving into challenges faced by companies like Google, Apple, OpenAI, and Amazon AWS in the AI industry. Speculating on leadership changes, partnership strategies, and VC investments in the AI industry.
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May 22, 2024 • 35min

Using AI to Build Tech Communities

Guest Jonas Rosland, Head of Open Source Community at CIQ, discusses using AI to accelerate building OSS communities and differences between Community Roles and Dev Rel. Topics include measuring community success, AI tools for productivity, privacy, and video game preservation efforts.
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May 19, 2024 • 33min

Lessons Learned from AWS Leadership Transition

AWS leadership transitions are dissected, discussing the lessons learned and new CEO Matt Garmin. They explore the importance of industry familiarity, leadership experience, and public image. The show delves into strategic decisions amidst competition and speculates on upcoming innovations.
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6 snips
May 15, 2024 • 31min

AI Safety and Regulation

Mark Collier, COO @ OpenInfra Foundation, discusses the importance of open source AI, transparency, and AI regulation. He highlights the risks of AI arms race, the need for open collaboration to prevent 'AI overlords', and the challenges in balancing innovation and regulations in the AI industry.
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May 11, 2024 • 26min

Bringing Open Source to AI

Exploring the intersection of open source and AI, the podcast delves into the shift towards diverse AI models in 2023 and the challenges of creating communities around open models. It raises questions about reducing AI costs, ensuring data security, and allowing businesses to contribute knowledge to models. The discussion also touches on synthetic data generation, making technology more accessible, and encouraging non-data scientists to contribute to AI models.

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