18 deep-tech founders. One afternoon in New York. Plenty of ambition in the room. As part of @nasscom Deeptech InnoTrek USA 2026, we hosted founders tackling a big question: what does it really take to break into the U.S. market? Kapil Nagpal and Vikas Chandra led an honest conversation about finding the right partners, navigating the public sector, and turning bold technology into something enterprises will adopt. No pitches. No playbook. Just sharp questions, real perspectives, and a room full of possibilities. #Nasscom #DeepTech #FluidicIntelligence

Enterprise AI does not have a pilot problem. It has a production problem. At @Dreamforce , Nagarro’s Viyom Jain, MD and Global Business Head, Enterprise Products, shared what it takes to move AI from experimentation to impact at scale. The next phase of enterprise AI will not be defined by more demos: • It will be shaped by hands-on implementation focused on real business friction. • It will connect agents with data, industry context, and AI-native teams working alongside customers. The message from Dreamforce was clear: ambition is easy. Building AI that works, scales, and earns its place in the business is the real test. Read the full story with @diginomica here: diginomica.com/dreamforce-20… #DF26 #FluidicIntelligence

Open banking changed how financial data moves. Open industry could change where banking itself sits in the customer journey. Why send customers elsewhere when the right service can meet them exactly where they are? That is the promise of open industry. Making it happen, however, is where things get interesting. Banks need to connect partners, permissions, and data without making the experience feel stitched together. And trust cannot get lost in the handoff. At Open Banking Expo UK 2026, Nagarro will show how OpenBankConnect brings that architecture to life, live at Booth G2. Got a use case? Bring it to Booth G2: nagarro.com/en/events/open-b… #FluidicIntelligence

If AI is only generating test cases, your Quality Engineers are missing out. Our new white paper by Megha Agarwal explores how a continuous AI QA coworker can support the full feature lifecycle, from requirement refinement and implementation review to CI/CD investigation and release readiness. Using a practical AutoPulse case study, it shows how AI can help organize engineering context, surface ambiguity, highlight risks, and support better quality decisions while keeping judgment and accountability with the engineering team. Download the white paper: lnkd.in/dyuwvYdt #FluidicIntelligence

SAP does not need to do everything. Honestly, it probably shouldn’t. For manufacturers, approvals, exceptions, supplier interactions, quality issues, maintenance events, and AI-assisted decisions all matter. The trick is knowing what belongs in the core and what should happen around it. Sharad Rastogi breaks it down in our latest article. Read it here: nagarro.com/en/blog/keep-sap… #FluidicIntelligence

For our clients, this means combining Camunda’s process orchestration platform with Nagarro’s engineering and transformation expertise to connect fragmented workflows, improve visibility, and build adaptable processes that deliver measurable business impact. This achievement belongs to the people behind it. Thank you to our iBPM team, our engineering leaders, and our partners at Camunda for the expertise, commitment, and collaboration that made it possible. This milestone marks another step in our journey to help organizations build more connected, intelligent, and future-ready enterprises. We're excited about what comes next. #FluidicIntelligence

The Cyber Resilience Act does not care how secure you think your products are. It asks for proof. In this article, Samadhi Silva explains why industrial manufacturers need to move from “doing security” to being able to prove how product security decisions are made, documented, and managed across the lifecycle. Read the full article: nagarro.com/en/blog/cyber-re… #FluidicIntelligence

Berlin, let’s build what comes next. Yesterday marked the launch of the @nasscom EU Forum, and Nagarro is in from day one as a founding member. With deep roots in Germany and India, we know what becomes possible when both ecosystems connect: stronger innovation, greater digital sovereignty, and more sustainable growth across Europe. Now it is time to turn that potential into momentum, together with policymakers, industry leaders, and partners. Let’s get to work. #FluidicIntelligence #AIDAQ26

Funeral claims need to be handled quickly and with care, without adding more pressure to claims teams. DignityFast by Nagarro helps insurers automate straightforward cases and spend less time on manual review. Built on Appian, it assesses risk, routes eligible claims for processing, and keeps sensitive data protected through Appian Private AI. Explore how AI can reduce manual review while keeping sensitive claims data protected: nagarro.com/en/services/inte… #FluidicIntelligence

Retailers spent years connecting channels. AI is putting pressure on the systems behind them to connect too. At Shoptalk Fall 2026, Nagarro will explore how AI is linking customer experience with merchandising, inventory, supply chain, data, and store operations. Meet us in Nashville: nagarro.com/en/industries/re… #FluidicIntelligence

For Edge AI to create value, it must work beyond the pilot projects. Scaling it to production means solving for real-world constraints, including limited device resources, security, fleet management, observability, and continuous model updates. In his latest blog, Suyash Khanna shares what engineering practices are required to move Edge AI from a working prototype to a secure, scalable production environment. Read more: nagarro.com/en/blog/scale-ed… #FluidicIntelligence

Removing hierarchy doesn’t create self-organization. Giving teams more autonomy doesn’t either. So what does? Michael Frank explores what actually needs to replace the hierarchy you remove, and why so many organizations get self-organization wrong. Read more: nagarro.com/en/blog/self-org… #FluidicIntelligence

Customers do not experience a journey. They experience a bank that either understands their business or makes them explain it all over again. At MEBIS 2026, Zainual Bashar and Nisha Chatlani explored how AI and data can help banks carry that context across onboarding, lending, servicing, and relationship management. Because the next leap in banking is not another digital step. It is making every interaction more relevant to the business behind it. Banking is moving from digitized journeys to more intelligent relationship models, this is where the next era of banking begins. Watch the highlights from MEBIS 2026. #FluidicIntelligence

What if faster product development isn’t where the real AI advantage lies? Carlos Sousa and Gurpreet Bhadesh explore what happens when the bottleneck shifts from execution to deciding what’s actually worth building. 🎧 Listen to the full episode: piped.video/v78bs3amgrg?si=tvbh… #FluidicIntelligence

What if supply chain planning could continuously respond to changing demand, inventory, and market signals - instead of waiting for the next planning cycle? At Ai4 2026, Nagarro’s Global Data & AI Practice Head, Aanish Singla, looked at how agentic AI could help teams respond between planning cycles, not just during them. That means reviewing forecasts, inventory, market signals, and possible scenarios as things change, then helping teams understand the trade-offs and act sooner. From today's capabilities to tomorrow's challenges, the session explored how organizations can rethink traditional IBP and S&OP to make planning more adaptive and decision-making faster. Watch the full session, “Agentic planning in supply chains: Hype or the next operating reality?”: piped.video/watch?v=KJDartda… #Ai42026 #AgenticAI #FluidicIntelligence

15–30% less cloud waste. Typically within 90 days. NOVA brings multi-cloud spend into one view and shows teams where the money is going. It traces anomalies to their source, forecasts costs 90 days ahead, and identifies where teams can act before waste shows up on the bill. And it does not bury everyone in the same dashboard. Each team sees the spend information relevant to its role, while dedicated AI FinOps tracks GPU and LLM costs as they scale. Less cloud waste. More control. Governance that keeps pace with your cloud estate. Learn more: nagarro.com/en/services/clou… #FluidicIntelligence

AI agents need more than intelligence. They need boundaries. As agents gain access to enterprise systems, tools, data, and budgets, governance must cover identity, permissions, runtime controls, approvals, and auditability. In our latest blog, Dhariya Sharma and Kamlesh Joshi explore how an agent control plane can help enterprises govern AI agents at scale. Read the full article: nagarro.com/en/blog/ai-agent… #FluidicIntelligence

Performance engineering now goes beyond peak-load testing. In this #NagarroNuggets episode, our experts explore how Agentic AI can support script generation, workload modeling, log analysis, and faster root-cause identification. #AgenticAI #PerformanceEngineering #SoftwareEngineering #FluidicIntelligence

Were you at @FutureTravelX Experience Global in Dallas? Maybe you caught our session with Atlanta Airport, where we shared how we helped build a next-generation data platform that turns data into better operational decisions. AI was everywhere this year. What was more interesting was how quickly the conversation has moved from experimenting with AI to using it in day-to-day airline operations. Airlines and airports already sit on mountains of data and knowledge. The opportunity now is to make that knowledge flow across systems, operations, and people and turn it into intelligence they can actually act on. That is where AI becomes more than another technology layer. Making it work in the real world takes deep engineering. And it is what we mean by Fluidic Intelligence. Thank you to the FTE community, our clients, partners, and everyone who stopped by to exchange ideas with the Nagarro team. #FTEGlobal #FutureTravelExperience #FluidicIntelligence