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SaaStr’s Podcast “Best Of Guide” Our Top 10 Podcasts of All Time

SaaStr

David’s successful exits as an investor at Matrix include HubSpot, JBoss, AppIQ, Tabblo, Netezza, Diligent Technologies, CloudSwitch, TribeHR, GrabCAD, OpenSpan, and Enservio. They have funding from some of the best in the business including the likes of Benchmark, Sequoia, Redpoint and Marc Benioff, just to name a few.

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Fintech SaaS: The State of Play for 2024

Panintelligence

New SaaS Fintech technologies, products, and services emerge every year. 5 average rating that SaaS Fintechs boast on the software review site, and it was only a matter of time before the SaaS paradigm became an inevitability, rather than an option, for Fintech. What technology will cause the most disruption to the industry?

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Enterprise SaaS Architecture – The Why

Frontegg

Software as a Service (SaaS) applications are essentially eliminating traditional on-premise applications thanks to their single-instance and multi-tenant architecture. These applications are hosted centrally and licensed on a subscription basis, making it a very efficient and manageable business model that can be scaled up fast.

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SaaS Is Spurring the Next Cycle of Software Superperformance

OPEXEngine

Over the past decade, software has created tremendous value for investors and businesses, thanks largely to its transformative effect on the economy , its role in developing new cloud-based business models, and its ability to increase efficiency in operations. Embrace the cloud operating model. Sticky after all.

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SaaStr Podcast #225: Stephen Burton, VP of Smarketing at Harness Discusses How To Create True Alignment Between Marketing and Sales

SaaStr

Stephen Burton is VP of Smarketing at Harness, the industry’s first continuous delivery as a service platform. For Steve, what does devops really mean? What does Steve believe is the right culture for devops teams? How can a CEO determine when is the right time to fundamentally invest in devops? billion acquisition.

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How is MLOps Used in Business and Marketing?

Neil Patel

The goal is to provide a more streamlined process for developing and creating machine learning systems, allowing business administrators, data scientists, marketers, and IT engineers to cooperate on the same level. It is an extension of what we know as DevOps. Let’s say you run a site reviewing camping products.