QKS Group

The conventional methodology of network operations cannot suffice in today’s geopolitical landscape and dynamically growing user demands. The ecosystem is growing, traffic and data transmission are growing, and the number of users is also increasing. In 2026, the network has evolved into the central nervous system of the enterprise, driving a corresponding shift in CTO priorities aligned with dynamic workforce demands. However, the underlying challenges of enterprise networking, as outlined below, continue to persist. AI workloads cannot run on a network that wasn't built for them. Governance is not possible on what you can't observe. Automating operations cannot happen where the process is unclear. Digital experience cannot be delivered if the toolchain is fragmented. Leaders are making fewer, sharper, and more committed bets such as closed-loop automation, programmable infrastructures, phased deployments, and AI governance, rather than solely dwelling on buying more tech stack. This shift from IT leader to business architect is a defining point in building an AI-friendly and future-proofed network to drive business value to end users. Sanjeevi Cuddalore Ramachandran KAUSHIK V #QKSGroup #EnterpriseNetworking #CTOAgenda #NetworkTransformation #AIOps #DigitalInfrastructure #FutureReadyNetworks #NetworkStrategy

The banking and fintech community is coming together in Orlando this April, and QKS Group will be there. We’re heading to AXIS 2026 with Vundavalli Akhilesh to engage in conversations shaping the future of intelligent banking. From AI-led transformation to evolving customer experience and platform strategies, AXIS 2026 brings together leaders driving the next phase of banking innovation. If you’re attending and want to explore how QKS Group’s research and advisory can support your go-to-market or investment decisions, let’s connect. 📅 April 21–23, 2026 | 📍 Orlando, Florida #AXIS2026 #IntelligentBanking #Fintech #QKSGroup #BankingInnovation #IndustryResearch

AI Is Ready. Most CX Operations Aren’t.  5 Implementation Challenges Slowing CX Transformation AI in CX is entering a more demanding stage of enterprise adoption, where success is being shaped by implementation quality, workflow fit, governance maturity, user adoption, and the ability to measure business impact with clarity. At QKS, we continue to see five challenges influence the pace of CX transformation across the market: disconnected systems, -weak workflow integration, -poor frontline adoption, -governance gaps, -and unclear ROI measurement. These issues are becoming central to enterprise decision-making because the next phase of AI-led CX will be defined by how effectively organizations align data, operations, teams, and measurement around execution at scale. Amandeep S. Devendra Pagnis #QKSGroup #CustomerExperience #AIinCX #CXTransformation #EnterpriseAI #DigitalCX #CustomerOperations #CXStrategy

AI is everywhere. But most of it is just… added on. In this clip, Sanjeevi Cuddalore Ramachandran explains why AI has become the “justification” for technology rather than its foundation. The real problem? AI is being layered on top of workflows instead of being built into them. And that’s where transformation breaks. The difference between AI hype and real impact comes down to one question: Is AI embedded in how work actually happens? Watch the full conversation: https://lnkd.in/d_VW-mpx #AI #DigitalTransformation #EnterpriseIT #CIO #AIAdoption #TechStrategy #QKSConversation #QKSGroup

The Hidden Data Quality Challenges CDOs and CDAIOs Are Quietly Managing    Organizations today are making strong investments in data lakes, modern pipelines, and AI initiatives, with a growing focus on driving better, data-led decisions. At the same time, more attention is being drawn to what happens between raw data and business outcomes, where data moves, transforms, and ultimately shapes decisions across the enterprise. This is where certain patterns are becoming more visible: -Things like schema changes, stale pipelines, or duplicate data quietly creep in and start affecting dashboards, reports, and even AI outputs, often before anyone realizes something’s off. -It takes just one wrong report or misfired model to shake confidence of people, and they will quickly fall back to spreadsheets which feel they can control. -As AI adoption grows, existing data issues turn into large risks across models and decisions. -Organizations are increasingly recognizing the need to detect data issues earlier, before business users encounter them and before impact builds up. -There is a stronger push toward defining accountability across engineering, analytics, and business teams to ensure data quality is managed consistently across the lifecycle. As enterprises continue expanding their AI and data-driven initiatives, these challenges are becoming increasingly visible for data leaders. Because ultimately, AI and other systems are only as reliable as the data behind it. What is the biggest data quality or observability challenge your organization is facing today? Arun U Amandeep S. Devendra Pagnis  #DataQuality #DataObservability #CDO #CDAIO #DataGovernance #DataLeadership #AIReadiness #DataManagement 

Banking in 2026: Turning Digital Transformation into Business Execution Most banks have already done the hard part i.e., digitizing channels, modernizing platforms, and investing in cloud, APIs, and AI. On paper, the technology foundations look solid. The issue isn’t about the technology maturity. It’s execution maturity. From a CIO, CDO, and COO lens, the problem isn’t tools or budgets rather it’s how the bank is organized to execute work. Even with modern technology:  -Processes still rely on handoffs, approvals, and manual controls -Work doesn’t move end-to-end smoothly -Decisions don’t execute automatically 45% cite fragmented data as the biggest barrier to value realization. As we move toward 2026, leadership advantage in banking will be defined by how effectively digital investments are orchestrated across systems, teams, and the end-to-end banking lifecycle. Divya Baranawal Anandh Ramaswamy Vundavalli Akhilesh Pradnya Gugale #QKSGroup #FinTech #AIinBanking #CloudBanking #OpenBanking #BankingInnovation #DigitalFinance #TechInBanking

Risk Management in 2026: The Cost of Decision Latency Most organizations can identify their top risks. For Chief Risk Officers, the real pressure in 2026 is about responsiveness and not only visibility. Risks are increasingly materializing faster than traditional governance cycles were built to handle. Below are some examples:  -Cyber events escalate in hours.  -Third-party failures cascade in days.  -AI-driven decisions operate in real time.  -Market and geopolitical shocks unfold without warning. In such cases, risk management is not only about accuracy.  It is about speed. The question for CROs is simple:  How quickly can risk insights move from:  Detection → Escalation → Decision → Action? Detection is only the first step. The real exposure often sits in the gap between risk identified and action taken. That gap, called “decision latency”, is where impact grows. In 2026, CRO effectiveness will not be how early risks are detected, but by how quickly predefined thresholds trigger decisive action. Because when action stalls:  -Operational disruption compounds.  -Financial impact increases.  -Reputational exposure widens.  -Regulatory scrutiny intensifies. These delays do not always stem from a lack of awareness.  They stem from layered approvals, fragmented ownership, and unclear thresholds to make a decision. Because risk velocity is increasing.  And decision latency turns contained risk into enterprise exposure. Sofia Ali Sahil Dhamgaye #RiskManagement #CRO #EnterpriseRisk #RiskGovernance #DecisionMaking #Leadership #RiskStrategy #QKSGroup

The world's manufacturing leaders are converging in Hannover this April, and QKS Group will be there.   We're heading to HANNOVER MESSE 2026 with two of our sharpest minds, Sanjeevi Cuddalore Ramachandran (AVP, Enterprise Application) and Narayan Gokhale (VP, Research), to engage with the conversations shaping the future of manufacturing technology.   If you're attending and want to explore how QKS Group's research and advisory can support your go-to-market or investment decisions, let's connect.   📅 20 - 24 April 2026 | 📍 Hannover, Germany   #HannoverMesse2026 #ManufacturingIntelligence #QKSGroup #IndustryResearch #EnterpriseTech