The Cloudcast

Massive Studios
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May 8, 2024 • 27min

Front-End Clouds and Web Development

Malte Ubl, CTO @Vercel, discusses front-end web development, AI in infrastructure, and business impacts. Topics include front-end clouds, AI-generated front-ends, common use cases, AI integration, and business challenges in front-end development.
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May 5, 2024 • 24min

Identifying Leadership Traits to Follow

Exploring key leadership traits in the tech industry, from identifying skills to evaluating team dynamics. Assessing leaders' backgrounds, motivations, and team-building abilities. Emphasizing the importance of aligning personal values with company culture and navigating career decisions based on priorities and market conditions.
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May 1, 2024 • 43min

Cloud News of the Month - April 2024

The hosts discuss major cloud and AI news from April 2024, trends for the year, Broadcom/VMware AI discussions. They cover IBM's acquisition of Hashi Corp, Cisco's AI-integrated HyperShield security, hype and down rounds in VC funding, language model diversification, and tech industry dynamics.
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Apr 28, 2024 • 32min

Open Source and Business…sigh

Adam Jacobs discusses the challenges of open source and business dynamics. Topics cover software licenses, VC funding, diverse contributors, and the balance between financial goals and open source principles. The podcast explores the debate on whether open source is primarily a marketing vehicle for companies and the complexities of building a business around open source software.
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21 snips
Apr 24, 2024 • 34min

Sizing AI Workloads

John Yue, CEO & Co-Founder @ inference.ai, delves into AI workload sizing, matching GPUs to workloads, and the complexities of AI/ML hosting. Topics include business considerations in GPU selection, challenges in AI hardware procurement, and the importance of tailored solutions for varying workload demands.
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Apr 21, 2024 • 22min

The Maintenance Episode

Exploring the significance of maintenance both in everyday life and the tech industry. Discussing challenges in software systems, AWS's price hike for older Kubernetes, and the shift from perpetual to subscription pricing. Highlighting the importance of maintenance in tech, contrasting it with innovation. Emphasizing the value of maintainers and maintenance practices to prevent burnout and sustain projects.
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Apr 17, 2024 • 26min

Synthetic Data for AI

Kalyan Veeramachaneni, CEO/Founder of DataCebo, discusses the concept and benefits of synthetic data for AI, including its use cases, history, and advantages for GenAI. The podcast covers the need for synthetic data in testing, addressing bias issues, and ensuring data quality. They also talk about the security challenges in AI training, using CPUs, and ensuring data privacy. Overall, a deep dive into the world of synthetic data for enhancing machine learning models.
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Apr 14, 2024 • 32min

The Fear and Excitement of Learning in a new era

Exploring the challenges of learning in the AI era compared to cloud, including the struggle to pick reliable sources and knowing when to stop learning. Discussing imposter syndrome and guest selection in the AI space. Delving into the complexity of AI technology and the importance of continuous learning. Sharing insight on problem-solving approach and the value of seeking help from experts. Emphasizing curiosity, connecting with experts, and overcoming challenges in unfamiliar territories.
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Apr 10, 2024 • 32min

Building Media and Streaming Platforms

Brad Winett, President/Co-founder of TrackItCloud, discusses media and entertainment in the cloud, use cases, partnering with AWS, and creation services. They delve into the evolution of media streaming platforms, importance of platforms for media services, challenges of managing metadata in media production, AI advancements in production, and their consultation process with AWS.
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17 snips
Apr 7, 2024 • 28min

Will Enterprise AI adoption patterns follow Enterprise Cloud adoption?

Discusses the adoption patterns for Enterprise AI compared to Cloud Computing. Explores the challenges in valuing productivity, defining AI use-cases, and tolerating GenAI flaws. Touches on the rejuvenation of Predictive AI projects and the need for experimentation in Enterprise AI adoption.

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