SourceForge Podcast

PUR Valet transforms curbside operations with five-second photo check-ins, SMS ticketing, one-tap vehicle retrieval, digital payments, and seamless PMS integration. It helps hotels, restaurants, hospitals, and other properties reduce wait times, prevent false damage claims, and deliver a faster, paperless guest experience.

In this episode, we speak with Adam Szabo, CEO & Founder of PUR Valet. We explore how PUR Valet is modernizing valet parking with a ticketless, digital system that improves the guest experience while reducing operational chaos for businesses like hotels, hospitals, restaurants, and office buildings. The conversation focuses on the problems with traditional paper-and-walkie-talkie valet workflows—damage claims, bottlenecks, labor inefficiency, and missed tips—and explains how PUR Valet uses photo-based check-ins, QR/text options, payments, tipping, training tools, and analytics to make valet faster and more profitable.
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FusionAuth is an API-first CIAM platform that gives businesses complete control over authentication, authorization, and identity for users, services, and AI. Deploy it anywhere, scale without unpredictable pricing, and secure complex environments without sacrificing flexibility, performance, or data sovereignty.

In this episode, we explore why identity is no longer “just a login form” but critical infrastructure for security, user experience, and business risk. Dan Moore from FusionAuth breaks down the difference between authentication and authorization, why building your own login system is usually a bad idea for production, and how deploy-anywhere identity gives teams more control over data, upgrades, and reliability. The conversation also looks ahead to AI agents, arguing they need separate identities and deterministic guardrails so systems can safely tell humans and agents apart.

One especially useful takeaway is that the next wave of identity will be shaped by both passkeys and agentic workflows, but passwords aren’t disappearing anytime soon.
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DataHub is a context management platform that unifies metadata, lineage, quality, governance, and business knowledge into a trusted context graph for AI agents, data teams, and enterprise applications. With DataHub Cloud and its open source foundation, organizations can keep context accurate, current, and actionable so agents and humans can find, understand, govern, and use data with confidence.

In this episode we explore how DataHub evolved from a LinkedIn data catalog into a vendor-neutral context platform for AI agents. The core idea is that AI needs more than raw data access — it needs complete, trusted, shared context to answer questions accurately. We speak with Shirishanka Das, Co-Founder and CTO of DataHub, and discuss why enterprise AI often fails: models can sound confident while using the wrong definitions or stale data. DataHub’s answer is a graph-based context layer that connects technical, operational, semantic, and business context across structured and unstructured sources, then serves that context to AI agents before they query the data layer.
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ManageEngine provides a comprehensive suite of IT management and security solutions that help organizations monitor, manage, and protect their infrastructure, networks, endpoints, identities, and applications from a unified platform. Its broad portfolio enables IT teams to automate routine tasks, improve service delivery, strengthen cybersecurity, and maintain reliable, compliant IT operations across on-premises, cloud, and hybrid environments.

In this episode, we speak with Romanus Raymond, Director of Technology at ManageEngine, about how endpoint management has evolved from bulky, enterprise-only software into a more accessible, unified security platform. The conversation explores the growing challenge of defending a sprawling mix of devices—Windows, macOS, Linux, mobile, and remote endpoints—while attackers and AI-driven threats move faster than traditional patch cycles.

Romanus explains why “best-of-breed” point tools often create more complexity than control, and why a unified approach gives IT teams better visibility, prioritization, and remediation. The discussion also covers practical strategies for patching, including how to separate mitigation from remediation when patches aren’t yet available, how to prioritize vulnerabilities based on exposure and exploitability rather than just CVSS scores, and how to support remote workers without forcing them back onto the corporate network.

The episode closes with a look at automation, digital employee experience, and the future of proactive IT. Romanus argues that the long-term value of endpoint management isn’t just cost savings—it’s resilience, trust, and the ability to recover quickly when disruptions happen.
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Lightfield is an AI-native CRM that captures every customer interaction, remembers the full context, and turns it into action automatically. From prospecting and follow-ups to meeting prep, deal coaching, and pipeline updates, Lightfield lets teams focus on selling while AI agents handle the admin.

In this episode, we speak with Matt Serna, Head of GTM at Lightfield, an AI-native CRM platform. We discuss the challenges of traditional CRM systems, which often rely on manual data entry and can lead to incomplete data. Lightfield aims to solve this by automatically capturing and organizing customer interactions, allowing AI to perform tasks like writing emails and updating records. Matt shares insights into how AI is transforming CRM from a sales tool into a comprehensive company resource, emphasizing the importance of AI-native systems for future growth. The conversation highlights the potential of AI to enhance productivity and decision-making across various business functions.
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The SourceForge Podcast is the world's largest B2B software podcast.