The Cloudcast

Shay Levi, Co-founder and CEO of Unframe, and Larissa Schneider, Co-founder and COO of Unframe, delve into the intricacies of building enterprise-grade AI platforms. They discuss the meaning and advantages of these platforms, emphasizing the need for strategic partnerships to overcome development challenges. Shay shares insights on API security, while Larissa identifies inefficiencies in AI development. The duo also introduces a managed AI delivery platform that simplifies AI adoption, making it more accessible and secure for organizations.

The dawn of a new cloud computing era is upon us, as AI begins reshaping existing models. The hosts dissect the transition from Cloud 1.0's foundational elements to the complex dynamics of Cloud 2.0. Key discussions highlight emerging trends and the economic uncertainties surrounding AI integration. They explore how new technologies will affect business models and the potential regulatory impacts that could arise. Tune in for insights into this pivotal shift in the cloud landscape!

Brandon Whichard, co-host of Software Defined Talk and an expert in cloud and AI trends, joins the conversation to dive into exciting developments in these fields as of July 2025. The discussion highlights the evolving dynamics between major cloud providers and their AI capabilities. They explore the impact of AI on career choices, addressing both opportunities and risks in the job market. The hosts also reflect on balancing technological advancements with the need for human oversight, along with a humorous nod to their upcoming football fandom.

The podcast dives into AWS's challenging transition from hypergrowth to a hybrid phase. It assesses their current standing in the competitive cloud landscape against Azure and GCP. The discussion highlights AWS's struggles with generative AI and missing key innovations like a leading coding assistant. Despite their efforts, growth has plateaued, raising questions about future strategies. The complexities of balancing innovation and stability are explored, making for an insightful analysis of AWS's evolving market dynamics.

Elliot Shmukler, Co-Founder and CEO of Anomalo, discusses the pivotal role of data quality in AI. He emphasizes the challenges of integrating unstructured data with AI models and the necessity for accurate data lifespan monitoring. Elliot reveals how proper data management can prevent model drift and ensure reliable outcomes. The conversation also covers the importance of centralized data repositories in streamlining processes, ultimately impacting organizational efficiency and confidence in AI technologies.

What if AI agents become truly successful? The discussion dives into how businesses might navigate the balance between human employees and AI. Topics include the role of AI agents in workflows and project management, and whether they might be treated as peers or tools. There's speculation about ranking agents, managing their budgets, and intellectual property dilemmas. The complexities of team dynamics with AI integration are also examined, questioning how organizations will adapt to these new tech teammates.

Luke Marsden, CEO and Founder of HelixML, delves into the world of Private GenAI and its necessity for enterprises seeking regulatory compliance. He discusses the integration of AI into CI/CD pipelines and breaks down the layers of a Private AI stack. Marsden highlights the advantages of Retrieval Augmented Generation (RAG) over fine-tuning LLMs and explores the shift from traditional DevOps to MLOps. Listen in for insights on managing large language models securely and the importance of personalized AI workflows in regulated industries.

The podcast delves into the shifting dynamics of AI startups, questioning if the traditional model still works. It highlights the rise of 'acquihires,' where larger firms snag talent from smaller startups, raising concerns about job security for non-founders. The discussion also touches on the regulatory scrutiny surrounding these acquisitions and explores the diminishing allure of certain tech roles. With everything evolving so rapidly, it's a compelling look at whether it's worth joining the AI startup wave.

In a deep dive into AI coding assistants, the conversation tackles Cursor's recent pricing changes, stirring user frustrations. The emotional fallout from the failed WindSurf acquisition by OpenAI brings to light corporate turmoil and talent shifts. There's a critical look at how user experience issues in coding tools affect perceptions. The discussion also ventures into strategic moves in the competitive landscape, weighing potential partnerships and challenges against established tech giants, highlighting the pressures on AI startups in today's market.

The podcast dives into the contrasting behaviors of enterprises towards AI adoption, revealing a spectrum from aggressive adopters to passive resistors. It discusses the excitement and trepidation surrounding early AI integration and emphasizes the urgency of starting this journey. There’s a focus on the confusion over best practices and KPIs, reflecting the current state of understanding within the industry. Ultimately, it advocates for informed decision-making and community feedback to navigate the complexities of embracing AI.