🚀 We're happy to share the latest publication: "The Co-evolution of Actor Engagement and Value Co-creation on Digital Platforms," coauthored by CBMI professor Christian Kowalkowski. 🔍 In a world where digital platforms are reshaping how suppliers, customers, and ecosystem partners connect, this study dives deep into Platform-as-a-Service (PaaS) offerings within the asset management industry. By comparing two fintech PaaS models—a freemium and a subscription-based—we uncover distinct developmental pathways fueled by the interaction between actor engagement (AE) and value co-creation (VCC). ✨ Key Takeaways: The freemium model thrives on a “viral” community-building path, with early VCC sparking further AE. The subscription model adopts a “controlled” ecosystem-building approach, where AE is the catalyst. 💡 Our findings highlight how AE and VCC drive platform scaling and partner involvement, shaping upgraded solutions and expanded offerings. The proposed framework and research propositions provide a roadmap for future studies and practical strategies for managers looking to innovate through PaaS. 🔗 This work bridges digital servitization and platform ecosystem literature, providing a valuable perspective for navigating PaaS development in complex industries. We hope this sparks new ideas and strategies for PaaS initiatives and research! Open access: https://lnkd.in/dNaSv_EP Dr Leeya Hendricks, Paul Matthyssens #DigitalPlatforms #ValueCoCreation #ActorEngagement #Fintech #Servitization #Innovation #PaaS #AssetManagement
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The evolution of the SaaS ecosystem has been transformative, driving significant changes across industries over the past several decades From its early beginnings with mainframe systems and hardware-led solutions used by large enterprises, SaaS has grown into a sophisticated and widely adopted model. The introduction of the internet in the 1990s allowed mid-sized enterprises to enter the market, driving greater innovation. With cloud computing and subscription-based models, we saw the rise of horizontal SaaS, democratising access to software for businesses of all sizes. In recent years, vertical SaaS-solutions tailored to specific industries-has emerged as a powerful force. The market for vertical software has grown from $50 billion in 2010 to an estimated $653 billion in 2023, representing a 13-fold increase in just over a decade. This rapid expansion highlights a promising future for vertical SaaS startups, as businesses across sectors increasingly adopt specialised solutions to meet their unique needs.
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Rethinking Ownership: Is 'Product as a Service' the Key to Scaling Innovation? At DashamLabs, we are constantly exploring how innovative business models can drive the adoption of transformative technologies. One model we’re particularly excited about is Product as a Service (PaaS)—a shift from selling ownership to offering access. Why does this matter? Because PaaS addresses some of the biggest hurdles innovation faces: ✨ Lowering the Cost Barrier: By converting hefty upfront costs into affordable recurring payments, PaaS makes innovation accessible, eliminating inertia for adoption. 💡 Driving Accountability: When success depends on outcomes, providers stay committed to delivering value. PaaS ties the product's performance directly to customer satisfaction. 🤝 Deepening Engagement: With continuous interactions, PaaS fosters partnerships instead of transactions, creating feedback loops that refine the product and experience. 📈 Ensuring Revenue Stability: A subscription-like model offers consistent cash flow, aligning long-term growth with customer success. However, we also recognize the challenges of financing the initial investment. The model's success depends on creative approaches to managing capital—whether through partnerships, alternative financing structures, or leveraging economies of scale. At DashamLabs, we believe PaaS holds immense potential for accelerating the adoption of climate tech and med tech innovations, empowering customers to experience value without the burden of ownership. We’d love to hear your thoughts: How do you see PaaS reshaping industries? What challenges or opportunities do you foresee in scaling this model? Let’s spark a conversation! 🌟 #Innovation #ProductAsAService #DashamLabs #BusinessModels #ScalingImpact
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From SaaS to AAAS: The Next Big Shift in Tech Just as software once commoditized hardware, AI is now transforming SaaS into AAAS (AI as a Service)—and the impact is massive. Traditional SaaS solutions, built on scalability and usability, are becoming table stakes. The real value lies in AI-powered platforms that deliver insights, automation, and measurable outcomes. Here’s why this shift matters: 💻75% of SaaS providers are embedding AI to remain competitive. 🚀AI can automate up to 40% of routine processes, freeing teams to focus on innovation. 🤖By 2030, 90% of software applications will include embedded AI as a standard feature. AAAS isn’t just the future—it’s already here. Companies adopting this model are leading with intelligent, adaptive solutions rather than static tools. In this new era, SaaS is the commodity, and AAAS is the differentiator. The question is: Are you ready to embrace it? Let’s discuss how businesses can leverage AAAS to gain a competitive edge!
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The AI agents can help introduce more advanced automation, adaptability, and personalization in enterprise settings. Some ways they can do this include: - Moving towards a dynamic and adaptive enterprise system. Rigid workflows can be replaced with dynamic ones, where information resides in a database, and the adaptive system picks the intent or objective based on what the end user chooses to do. Examples include personalized codes (we used to call these as static scripts or macros) that are one-time use but can be changed many times on the go. Or features designed for specific individuals, not necessarily tied to the enterprise. - Personalized agents that learn the user’s behavior and adapt accordingly. For example, dynamic caching strategies for specific users (fun, right?), or optimizing complex workflows based on learning from user interaction experiences, thereby reducing the need for human intervention. - Automated decision-making, which in some cases could eliminate the need for approvals and even CEOs. - Elimination of software maintenance. - And many more benefits (e.g., reduced dependencies, etc.), but I’ll stop here.
Regional Head of Enterprise Wireless Solutions | Ex-Google | Founder | Author | Doctorate Candidate
The Death of SaaS (as We Know It) Satya Nadella recently shared a fascinating perspective: AI is poised to replace traditional application layers, embedding business logic directly at the database level. This marks a profound shift: one that could redefine the very foundation of SaaS. Imagine a future where AI doesn’t just power apps but replaces them. Business logic, instead of flowing through multiple layers of UI, middleware, and APIs, is orchestrated directly with the database. This means the end of bloated, layered software and the beginning of lean, AI-native architectures. The ripple effects are massive. SaaS as a subscription model may lose relevance as modular AI-driven workflows dominate. Interfaces will transform, shifting away from dashboards and fixed workflows to adaptive, real-time experiences—think voice commands, conversational AI, or neural interfaces. Even the app store economy may collapse under the weight of this new paradigm, replaced by marketplaces for AI-driven workflows instead of apps. This could imply the extinction for the SaaS we know today. For developers, businesses, and consumers, this shift will reshape how software is built, sold, and used. The question isn’t if SaaS is dying; it’s what comes next. What do you think? Is this the end of SaaS, or the beginning of something even more disruptive?
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Good post/thread on Satya Nadella's interview on #Agents and the death of #SaaS. My comment - Satya is spot on, but it's not his vision. I anticipated the virtualization of applications as a horizontal layer, not vertically integrated stacks, back in 2008. I hold 22 awarded US patents on agents dynamically composing applications based on interaction context. There is growing recognition that Agents are the new unified behavioral interface that abstracts everything they connect. Of course, design matters. This horizontal layer with agents that binds data, functions and logic, as well as distributed and heterogeneous systems, services, databases, devices, environment and networks, has to be a mix of sophisticated Computer Science and serious Systems Engineering to be performant, scalable and resilient at scale. Also, let's not forget non-functional concerns that agents must also address as part of every execution. #AgenticAI is not up to this task (pun intended). Hypsters are aspirationally punting to #LLMs as a magical black boxes, but every study shows quality goes down with complexity (while cost, latency and energy consumption goes up) and agent chaining is prone to cascading and compounding failures. There is a right way to do this. I'm happy to discuss with Satya.
Regional Head of Enterprise Wireless Solutions | Ex-Google | Founder | Author | Doctorate Candidate
The Death of SaaS (as We Know It) Satya Nadella recently shared a fascinating perspective: AI is poised to replace traditional application layers, embedding business logic directly at the database level. This marks a profound shift: one that could redefine the very foundation of SaaS. Imagine a future where AI doesn’t just power apps but replaces them. Business logic, instead of flowing through multiple layers of UI, middleware, and APIs, is orchestrated directly with the database. This means the end of bloated, layered software and the beginning of lean, AI-native architectures. The ripple effects are massive. SaaS as a subscription model may lose relevance as modular AI-driven workflows dominate. Interfaces will transform, shifting away from dashboards and fixed workflows to adaptive, real-time experiences—think voice commands, conversational AI, or neural interfaces. Even the app store economy may collapse under the weight of this new paradigm, replaced by marketplaces for AI-driven workflows instead of apps. This could imply the extinction for the SaaS we know today. For developers, businesses, and consumers, this shift will reshape how software is built, sold, and used. The question isn’t if SaaS is dying; it’s what comes next. What do you think? Is this the end of SaaS, or the beginning of something even more disruptive?
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Satya Nadella’s vision of AI embedding business logic directly at the database level signals a transformative shift in software development. As SaaS evolves into modular, AI-driven workflows, the possibilities for leaner, adaptive architectures could redefine how we build and interact with technology. #AI #SaaS #Innovation #BusinessLogic #SoftwareDevelopment #FutureOfWork #TechnologyTransformation #ArtificialIntelligence #Database #TechTrends
Regional Head of Enterprise Wireless Solutions | Ex-Google | Founder | Author | Doctorate Candidate
The Death of SaaS (as We Know It) Satya Nadella recently shared a fascinating perspective: AI is poised to replace traditional application layers, embedding business logic directly at the database level. This marks a profound shift: one that could redefine the very foundation of SaaS. Imagine a future where AI doesn’t just power apps but replaces them. Business logic, instead of flowing through multiple layers of UI, middleware, and APIs, is orchestrated directly with the database. This means the end of bloated, layered software and the beginning of lean, AI-native architectures. The ripple effects are massive. SaaS as a subscription model may lose relevance as modular AI-driven workflows dominate. Interfaces will transform, shifting away from dashboards and fixed workflows to adaptive, real-time experiences—think voice commands, conversational AI, or neural interfaces. Even the app store economy may collapse under the weight of this new paradigm, replaced by marketplaces for AI-driven workflows instead of apps. This could imply the extinction for the SaaS we know today. For developers, businesses, and consumers, this shift will reshape how software is built, sold, and used. The question isn’t if SaaS is dying; it’s what comes next. What do you think? Is this the end of SaaS, or the beginning of something even more disruptive?
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There can be several interpretations. At the end, the micro interface that can get the specific business task done wins!! If it would be agents, so be it! #AI #Agents
Regional Head of Enterprise Wireless Solutions | Ex-Google | Founder | Author | Doctorate Candidate
The Death of SaaS (as We Know It) Satya Nadella recently shared a fascinating perspective: AI is poised to replace traditional application layers, embedding business logic directly at the database level. This marks a profound shift: one that could redefine the very foundation of SaaS. Imagine a future where AI doesn’t just power apps but replaces them. Business logic, instead of flowing through multiple layers of UI, middleware, and APIs, is orchestrated directly with the database. This means the end of bloated, layered software and the beginning of lean, AI-native architectures. The ripple effects are massive. SaaS as a subscription model may lose relevance as modular AI-driven workflows dominate. Interfaces will transform, shifting away from dashboards and fixed workflows to adaptive, real-time experiences—think voice commands, conversational AI, or neural interfaces. Even the app store economy may collapse under the weight of this new paradigm, replaced by marketplaces for AI-driven workflows instead of apps. This could imply the extinction for the SaaS we know today. For developers, businesses, and consumers, this shift will reshape how software is built, sold, and used. The question isn’t if SaaS is dying; it’s what comes next. What do you think? Is this the end of SaaS, or the beginning of something even more disruptive?
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Google understands search. Meta understands social networks. Microsoft understands business customers. Company wise those are the DNS. Google has tried to enter business customer field and has succeeded to certain extent but we know that Excel is Excel. Google has tried social and failed. MS has tried to enter search and succeeded to certain extend. MS didn't try sm. Meta didn't bother to go after business people and go into search. But now we are here were these giants have their "customer understanding". I think MS has upper hand as they understand how business world works, thinks, buy products. They have deeper insight.
Regional Head of Enterprise Wireless Solutions | Ex-Google | Founder | Author | Doctorate Candidate
The Death of SaaS (as We Know It) Satya Nadella recently shared a fascinating perspective: AI is poised to replace traditional application layers, embedding business logic directly at the database level. This marks a profound shift: one that could redefine the very foundation of SaaS. Imagine a future where AI doesn’t just power apps but replaces them. Business logic, instead of flowing through multiple layers of UI, middleware, and APIs, is orchestrated directly with the database. This means the end of bloated, layered software and the beginning of lean, AI-native architectures. The ripple effects are massive. SaaS as a subscription model may lose relevance as modular AI-driven workflows dominate. Interfaces will transform, shifting away from dashboards and fixed workflows to adaptive, real-time experiences—think voice commands, conversational AI, or neural interfaces. Even the app store economy may collapse under the weight of this new paradigm, replaced by marketplaces for AI-driven workflows instead of apps. This could imply the extinction for the SaaS we know today. For developers, businesses, and consumers, this shift will reshape how software is built, sold, and used. The question isn’t if SaaS is dying; it’s what comes next. What do you think? Is this the end of SaaS, or the beginning of something even more disruptive?
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Senior IT Project /IT Application Operations Manager at Engineering Ingegneria Informatica SPA
the future of software and business is about to be reshaped!
Regional Head of Enterprise Wireless Solutions | Ex-Google | Founder | Author | Doctorate Candidate
The Death of SaaS (as We Know It) Satya Nadella recently shared a fascinating perspective: AI is poised to replace traditional application layers, embedding business logic directly at the database level. This marks a profound shift: one that could redefine the very foundation of SaaS. Imagine a future where AI doesn’t just power apps but replaces them. Business logic, instead of flowing through multiple layers of UI, middleware, and APIs, is orchestrated directly with the database. This means the end of bloated, layered software and the beginning of lean, AI-native architectures. The ripple effects are massive. SaaS as a subscription model may lose relevance as modular AI-driven workflows dominate. Interfaces will transform, shifting away from dashboards and fixed workflows to adaptive, real-time experiences—think voice commands, conversational AI, or neural interfaces. Even the app store economy may collapse under the weight of this new paradigm, replaced by marketplaces for AI-driven workflows instead of apps. This could imply the extinction for the SaaS we know today. For developers, businesses, and consumers, this shift will reshape how software is built, sold, and used. The question isn’t if SaaS is dying; it’s what comes next. What do you think? Is this the end of SaaS, or the beginning of something even more disruptive?
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I wouldn’t go so far as to say SaaS is going to be dead, but it’s clear that the stack powering SaaS applications—comprising the backend, RESTful APIs, GUI, and middleware—needs to be reimagined in the era of GenAI-driven access to information. Initially, GenAI Access may augment RESTful API interfaces, but over time, it’s plausible that granular resource access via RESTful APIs will gradually fade away as more direct, intelligent GenAI access models take precedence. This shift has profound implications for Zero Trust security. Traditional models that rely solely on RESTful API access for SaaS and enterprise applications are no longer sufficient. Zero Trust itself must evolve to address these emerging paradigms. We’ve explored this transformation in greater detail in our latest blog post: https://lnkd.in/gnTMaui9 #aryaka #CASB #GenAI
Regional Head of Enterprise Wireless Solutions | Ex-Google | Founder | Author | Doctorate Candidate
The Death of SaaS (as We Know It) Satya Nadella recently shared a fascinating perspective: AI is poised to replace traditional application layers, embedding business logic directly at the database level. This marks a profound shift: one that could redefine the very foundation of SaaS. Imagine a future where AI doesn’t just power apps but replaces them. Business logic, instead of flowing through multiple layers of UI, middleware, and APIs, is orchestrated directly with the database. This means the end of bloated, layered software and the beginning of lean, AI-native architectures. The ripple effects are massive. SaaS as a subscription model may lose relevance as modular AI-driven workflows dominate. Interfaces will transform, shifting away from dashboards and fixed workflows to adaptive, real-time experiences—think voice commands, conversational AI, or neural interfaces. Even the app store economy may collapse under the weight of this new paradigm, replaced by marketplaces for AI-driven workflows instead of apps. This could imply the extinction for the SaaS we know today. For developers, businesses, and consumers, this shift will reshape how software is built, sold, and used. The question isn’t if SaaS is dying; it’s what comes next. What do you think? Is this the end of SaaS, or the beginning of something even more disruptive?