Embedded Analytics, AI Agents & the Future of SaaS | Arman Eshraghi | AI Accelerator Podcast скачать в хорошем качестве

Embedded Analytics, AI Agents & the Future of SaaS | Arman Eshraghi | AI Accelerator Podcast

AI is not just transforming products. It is reshaping how software itself is built, delivered, and consumed. In this episode of the AI Accelerator Podcast, host Matt Zembruski sits down with Arman Eshraghi, serial entrepreneur and Founder and CEO of Qrvey. Having founded four B2B software companies, Arman brings decades of experience building data platforms across major technology shifts from Windows to web to cloud and now AI. Together, they explore what embedded analytics really means, how SaaS companies should think about AI adoption, and why the future of software includes both humans and AI agents working side by side. In this episode, Arman reveals: ◼️ How falling in love with a Commodore 64 sparked his entrepreneurial journey ◼️ Why each major tech wave created a new software opportunity ◼️ What embedded analytics actually means for SaaS companies ◼️ The hidden complexity of multi tenant data environments ◼️ Why charts and dashboards alone do not create real value ◼️ How Qrvey solves over 500 deep SaaS analytics challenges ◼️ The difference between BI tools and true embedded analytics platforms ◼️ How AI has evolved from structured data to multimodal intelligence ◼️ Why generative AI changes how software interacts with humans ◼️ The rise of AI agents as digital workers inside software systems ◼️ How AI adoption differs based on company DNA ◼️ Why speed matters but reckless adoption is dangerous ◼️ The tension between execution and innovation in AI transformation ◼️ How SaaS companies should think about accuracy, cost, and AI risk ◼️ Why not every company should move at the same AI speed Chapters 00:00 Welcome to the AI Accelerator Podcast 00:15 Introducing Arman Eshraghi & Qrvey 01:45 Falling in love with computers and starting at 18 03:30 Building software across Windows, web, and cloud eras 05:00 What embedded analytics really means 07:00 Why SaaS companies need specialized analytics infrastructure 10:00 The complexity of multi tenant data environments 13:00 Solving deep SaaS analytics problems at scale 16:00 Early AI capabilities before generative AI 18:00 Multimodal AI and processing voice, images, and PDFs 21:00 AI agents as digital employees 23:30 Software built for both humans and AI agents 27:00 Balancing execution and innovation during AI adoption 29:00 The risk of overusing AI without understanding limitations 31:00 Strategic advice for business leaders 34:00 Aligning AI strategy with company DNA 35:00 Where to connect with Arman Key Learnings ✔ Embedded analytics is far more complex than dashboards ✔ SaaS companies must solve multi tenant data challenges differently ✔ AI is shifting from structured data to multimodal understanding ✔ AI agents will become active users of software systems ✔ Innovation speed must align with company DNA ✔ Execution discipline remains critical during AI transformation ✔ Not every AI capability belongs in production immediately ✔ Accuracy, cost, and governance still matter deeply ✔ The future of SaaS includes collaboration between humans and AI ✔ Companies that ignore AI entirely risk falling behind 💬 Arman’s Most Powerful Quotes “AI is like hiring new digital employees.” “Not every company should move at the same AI speed.” “You need to know your company’s DNA before deciding your AI strategy.” “If you do not keep up, you fall behind. If you move too fast, you break things.” “Charts and dashboards alone do not create value.” Follow Arman Eshraghi LinkedIn: Arman Eshraghi   / aeshraghi   Website: Qrvey https://qrvey.com/ YouTube:    / @qrvey   Follow Matt Zembruski Website: https://leadingaiagility.com LinkedIn:   / mattzembruski   Email: matt@leadingaiagility.com Phone/Text/WhatsApp: +1 978-618-5778 Facebook:   / mzembruski   Instagram:   / thelifeofmattz