Generative AI is transforming the way businesses create value. Top organizations realize that mere modernization isn't sufficient; they're rethinking their potential. In this article, Dr. Jianmin Jin, our Chief Digital Economist, delves into the necessity for companies to establish new AI-Native Platforms that facilitate value generation, allowing them to evolve and thrive sustainably within society. Explore the full insights here: https://okt.to/B7jsCa #Modernization #Transformation #AINative #GenerativeAI
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The rise of Generative AI is shaping how organizations generate value. Leading companies are looking beyond modernization, understanding that upgrading systems is not enough: they’re reimagining what’s possible. In this article, Dr. Jianmin Jin, our Chief Digital Economist, explores how companies need to set new foundations: AI-Native Platforms for value creation, enabling them to adapt to change and grow sustainably with society. Discover all the insights here: https://lnkd.in/d6tDgvw6 #GenerativeAI #Modernization #Transformation #AINative
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The rise of Generative AI is shaping how organizations generate value. Leading companies are looking beyond modernization, understanding that upgrading systems is not enough: they’re reimagining what’s possible. In this article, Dr. Jianmin Jin, our Chief Digital Economist, explores how companies need to set new foundations: AI-Native Platforms for value creation, enabling them to adapt to change and grow sustainably with society. Discover all the insights here: https://okt.to/5iYAf2 #GenerativeAI #Modernization #Transformation #AINative
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The rise of Generative AI is shaping how organizations generate value. Leading companies are looking beyond modernization, understanding that upgrading systems is not enough: they’re reimagining what’s possible. In this article, Dr. Jianmin Jin, our Chief Digital Economist, explores how companies need to set new foundations: AI-Native Platforms for value creation, enabling them to adapt to change and grow sustainably with society. Discover all the insights here: https://okt.to/6FMGyC #GenerativeAI #Modernization #Transformation #AINative
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🚀 AI is redefining how enterprises modernize business-critical applications. According to new research from Omdia, AI-assisted development is reshaping how organizations understand, refactor, and transform complex codebases. Learn how AI helps teams gain deeper visibility into code structure and dependencies — accelerating modernization with greater quality and confidence. Read Omdia’s analysis: https://ibm.biz/BdbYg9 #AI #Modernization #Mainframe #SoftwareDevelopment #AIAssistance #IBM #Omdia
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"We're focused on using AI as a practical lever to solve complex problems, elevate quality and empower people to work in new ways," said Jo Debecker, President and CEO, Akkodis. "These projects show how we bring together human ingenuity and advanced technology to deliver transformation that lasts." #Akkodis #AppliedAI #IndustryTransformation #GlobalInnovation #AIinManufacturing #DigitalTwin #EngineeringConsulting #TechnologyServices #AIAdoption #SmartIndustry https://lnkd.in/dUXGGjSP
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We’ve just published BeyondCode, a research-backed report on how Generative AI is reshaping the Software Development Lifecycle (SDLC). The study draws on insights from 600+ practitioners and 70+ executives across the Middle East, the UK, and Türkiye — DefineX’s primary markets. Through themes such as engineering productivity, organizational readiness, and AI governance, the report uncovers how GenAI adoption varies by role, organization size, and region, distilling those findings into actionable insights for technology leaders. Across banks in the Middle East, daily use of GenAI tools in technology delivery is becoming the norm. Yet organizational maturity still lags behind: 85% of developers say AI already improves delivery, saving 4–6 hours per week. 60% receive AI training, but only 31% have a structured review process. Just 35% report a clear AI strategy. The AI-native era has begun. The next challenge is institutionalization, scaling from individual productivity to enterprise-wide transformation. Those who move from experimenting with tools to embedding AI within structured workflows and governance models will define the next wave of technology delivery excellence. 🔗 Read the full report: https://lnkd.in/dSX-cKgc
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One of the exciting use cases for GenAI is how you can use AI and AI agents acorss the entire Software Developmwnt Life Cycle (SDLC) to drive to speed and efficencies. DefineX - Consulting, Technology & Labs has conducted an amazing study on this and have shared the learnings in the attached report. Highly recommended to read , feel free to reach out to me to schedule a session on how we can help you assess where AI can provide the highest impact for your organization’s SDLC.
We’ve just published BeyondCode, a research-backed report on how Generative AI is reshaping the Software Development Lifecycle (SDLC). The study draws on insights from 600+ practitioners and 70+ executives across the Middle East, the UK, and Türkiye — DefineX’s primary markets. Through themes such as engineering productivity, organizational readiness, and AI governance, the report uncovers how GenAI adoption varies by role, organization size, and region, distilling those findings into actionable insights for technology leaders. Across banks in the Middle East, daily use of GenAI tools in technology delivery is becoming the norm. Yet organizational maturity still lags behind: 85% of developers say AI already improves delivery, saving 4–6 hours per week. 60% receive AI training, but only 31% have a structured review process. Just 35% report a clear AI strategy. The AI-native era has begun. The next challenge is institutionalization, scaling from individual productivity to enterprise-wide transformation. Those who move from experimenting with tools to embedding AI within structured workflows and governance models will define the next wave of technology delivery excellence. 🔗 Read the full report: https://lnkd.in/dSX-cKgc
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One of the exciting use cases for GenAI is how you can use AI and AI agents acorss the entire Software Developmwnt Life Cycle (SDLC) to drive to speed and efficencies. DefineX - Consulting, Technology & Labs has conducted an amazing study on this and have shared the learnings in the attached report. Highly recommended to read , feel free to reach out to me to schedule a session on how we can help you assess where AI can provide the highest impact for your organization’s SDLC.
We’ve just published BeyondCode, a research-backed report on how Generative AI is reshaping the Software Development Lifecycle (SDLC). The study draws on insights from 600+ practitioners and 70+ executives across the Middle East, the UK, and Türkiye — DefineX’s primary markets. Through themes such as engineering productivity, organizational readiness, and AI governance, the report uncovers how GenAI adoption varies by role, organization size, and region, distilling those findings into actionable insights for technology leaders. Across banks in the Middle East, daily use of GenAI tools in technology delivery is becoming the norm. Yet organizational maturity still lags behind: 85% of developers say AI already improves delivery, saving 4–6 hours per week. 60% receive AI training, but only 31% have a structured review process. Just 35% report a clear AI strategy. The AI-native era has begun. The next challenge is institutionalization, scaling from individual productivity to enterprise-wide transformation. Those who move from experimenting with tools to embedding AI within structured workflows and governance models will define the next wave of technology delivery excellence. 🔗 Read the full report: https://lnkd.in/dSX-cKgc
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💡 The Real Shift in AI: It’s Not About Models, It’s About the System Behind Them Everywhere we look, AI is taking center stage — but what’s happening behind the scenes is even more fascinating. According to a recent ThoughtWorks report (Nov 2025), the real transformation in AI isn’t just about smarter models — it’s about the infrastructure and context that power them. Multi-GPU clusters and Kubernetes for AI are redefining how workloads are managed. And something called “Context Engineering” is emerging — the art of structuring inputs so AI agents truly understand what we want them to do. At Innovit Labs, we believe this is where the future lies. It’s no longer enough to just “build an AI.” You need to design the right systems, data pipelines, and deployment strategies that make AI practical, scalable, and impactful. Because the next big leap won’t come from another algorithm — it’ll come from the way we deploy and orchestrate intelligence. #InnovitLabs #ArtificialIntelligence #Innovation #TechTrends #DigitalTransformation #AITechnology
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🧠 It’s no longer enough to run one AI model well. As multi-model workflows become the new normal, orchestration has become the defining factor in whether enterprise AI delivers lasting value. Our SVP of Engineering, Saju Pillai, explains the need to adopt a multi-model workflow, the potential challenges at hand, and how an AI gateway can create order out of potential chaos in ComputerWeekly.com. 👀 Read the full article here: https://bit.ly/4p0W3u1
Computer Weekly: Kong engineering SVP: Deeper, down (and in-between) AI workflows computerweekly.com To view or add a comment, sign in
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