How to move AI from pilot to impact with Onix's CTO

💡 IT Operations and AI – Where Are We Going? AI is quietly (and quickly) transforming how global IT operations work — not in the future, but right now. 🚀 Here’s the shift we’re seeing: From reactive to predictive → AI spots issues before they happen. From human-heavy to human-smart → Automation handles the routine; people drive innovation. From silos to systems → AI connects infrastructure, applications, and business insights. From dashboards to decisions → We’re moving toward AI making operational calls — with humans guiding governance and trust. The question isn’t if AI will reshape IT operations — it already is. The real question: How do we balance intelligence, trust, and control as we scale AI across the enterprise? What’s your view — are we ready for AI-led operations? 🤖💭 #AITOps #ITOperations #Automation #DigitalTransformation #AIOps #FutureOfWork

⚙️ Building an AI Center of Excellence: Turning Innovation Into Infrastructure AI is no longer a pilot project — it’s the operating system for the modern enterprise. At AISymmetric, we help organizations build AI Centers of Excellence (CoEs) that transform scattered experiments into scalable, enterprise-grade capability. A successful AI CoE blends people, process, and platform: ✅ Strategy: Identify where AI amplifies business outcomes — not just curiosity. ✅ Governance: Establish guardrails around data privacy, ethics, and model drift. ✅ Enablement: Equip every team — from marketing to finance — to use AI responsibly. ✅ Architecture: Integrate AI seamlessly into existing enterprise-grade CRMs and data ecosystems. ✅ Adoption: Track ROI, iterate rapidly, and scale what works. Tools like OpenAI, Anthropic, and other foundation model platforms are changing how enterprises learn, reason, and decide. But it’s the Center of Excellence that ensures this power is used effectively — and ethically. If your organization is ready to evolve from AI pilots to AI platforms, 👉 Let’s build your Center of Excellence. #AISymmetric #AIstrategy #OpenAI #EnterpriseAI #Innovation #DigitalTransformation #AIgovernance #AICoE

⚠️ The Hidden Cost of “Move Fast” AI Organizations are accelerating their AI and automation initiatives. The urgency is understandable, and the business goals are often sound. But the foundation is too often overlooked in the rush to deploy. A growing number of decision-makers are integrating pre-packaged automation tools and isolated AI agents directly into source systems without the right structure in place. Disconnected data layers, overlapping platforms, and unclear ownership are quietly creating a new wave of technical debt. The drive for speed results in redundant capabilities and fragmented AI implementations that ignore the condition of the underlying data. Each new model or workflow adds risk and cost. While short-term gains seem impressive, the total cost of ownership rises, performance declines, and the technology landscape becomes harder to sustain. In my opinion, the organizations that preserve long-term value take a different path. They simplify before they scale. They build clean data foundations, establish a coherent AI strategy and governance, and treat AI as an operating discipline rather than a rapid feature release. #EnterpriseAI #DigitalTransformation #TechnologyLeadership #ITStrategy

The CIO's mandate is clear: Accelerate AI innovation. But if your data estate lacks a shared context or language, you're not building for the future. 🤯 The biggest risk to scaling AI isn't the technology; it's the fragmented governance that creates deep silos between your business and technical teams. When teams can't communicate effectively, context dies, models are built on misunderstood data and progress slows. Here is the hard truth: AI accelerates existing data problems. The solution? A unified governance strategy that brings business context into the fold, connecting the technical truth with business brilliance. Collibra frees your data from the constraints of silos. This enables the CIO to accelerate all data and AI use cases, safely and without the risk. Read our new blog, "The CIO’s mandate: Accelerating AI innovation without building a Tower of Babel," to learn how to unify your approach and achieve true Data Confidence™. Don't let communication gaps derail your AI strategy. Read the full insights here. ↓ https://lnkd.in/gC89r_2u #AIGovernance #DataStrategy #CIO #UnifiedGovernance #DataConfidence

Just read a recent Harvard Business Review article exploring how #Agentic #AI is reshaping digital operating models. The piece outlines how multi-agent systems, capable of autonomous planning, reasoning, and coordination, are enabling organizations to move from process automation to outcome orchestration. These architectures can decompose complex missions, interpret context, and act through APIs across fragmented environments, creating adaptive, end-to-end workflows. Early implementations across sectors, from large #enterprises streamlining internal operations to #technology firms redesigning customer and partner processes, reveal common #themes: a move toward mission-based accountability that blends human and AI roles; interoperability built on shared business logic rather than data centralization; and governance frameworks embedding transparency, policy constraints, and auditability into agent behavior. These developments suggest a gradual shift from AI as a task-specific tool to AI as an #operating layer-supporting resilience, trust, and continuous learning across #digital systems. Link in comments.

“n8n vs Real AI: Automation Isn’t Intelligence” Recently you might have seen so many video posts on n8n and how it can “automate everything” — but let’s get real about what it actually does versus what true AI implementation means. n8n is a great workflow automation tool. It helps connect APIs and automate repetitive, rule-based tasks — things like sending an email when a form is submitted or syncing data between tools. It’s powerful for small operations or startups looking for quick wins without deep technical integration. However, this is not the same as AI. Actual AI implementation involves building systems that learn, infer, and adapt — often requiring data pipelines, model training, and real-time analytics. AI solutions are designed for scalability, continuous improvement, and decision-making at enterprise level — not just trigger-based workflows. While tools like n8n offer an accessible way to prototype automations, they can’t replace robust, scalable AI architectures used in large enterprises that need security, observability, and adaptability across millions of interactions. So yes — experiment with n8n, especially for small-team productivity. But when you’re thinking about enterprise AI, think beyond automation and towards intelligence. #n8n #AI #Automation #ArtificialIntelligence #WorkflowAutomation #DigitalTransformation #TechInsights #EnterpriseAI #NoCode #LowCode #Innovation

The Next Evolution of Business: From AI-First to AI-Only In recent years, the global technology landscape has moved beyond the idea of AI-first. Organizations are now exploring the next paradigm — the AI-only enterprise, where intelligent systems autonomously manage entire operations and adapt continuously without direct human control. This transformation is redefining how value is created. It changes the structure of work, compresses decision cycles, and establishes new models of scalability. In this context, computation becomes the core of productivity, while human intelligence shifts toward design, strategy, and ethical governance. Research from Boston Consulting Group emphasizes that the rise of AI-only firms will not replace humans but rather reposition them. The future enterprise is one where humans define intent and AI executes with precision, speed also contextual awareness. Such a model demands not only technological adoption but also a rethinking of organizational design. Companies must learn to integrate autonomous intelligence into their workflows, ensuring that human creativity and machine reasoning evolve in harmony. PathTech positions as an AI Partner for this transition, helping businesses build the structural, data and intelligence layers required to operate effectively in an AI-driven ecosystem. Through this partnership, we aim to support enterprises in creating systems that are efficient, transparent and capable of continuous learning. The transformation toward AI-only is not a distant vision. It is a strategic reality emerging across industries, where those who understand the balance between automation and human purpose will define the next generation of enterprise success. #AI #AITransformation #DigitalStrategy #AIInnovation #PathTech #Insights

Everyone is talking about AI... However, many are left questioning how it will accelerate business value? Few businesses are actually using correctly. The Facts about AI within a Mid-Tier: * Most mid-tier companies are paying for hype, not outcomes. * 9 of 10 claim to "Use AI" only a quarter have it built into actual workflow * 60% admit they can't trust their own data pipelines * >1% say they have reached full AI maturity levels (That is NOT Innovation - it's an illusion) If your "Ai Initiative" is just another sandbox project, you are using resources and driving costs without real value. Smart organizations are quietly wiring governance, data linage and accountability into every layer of their business. They are looking at the long game - NOT chasing AI. What separates KAiM Systems from other Consulting Firms? KAiM builds functional AI Backbone, extending current systems and processes with the power of AI. Our solutions help mid-market players punch above their weight by aligning existing technologies and introducing structured intelligence. * Data Governance linked to specific standards such as ( NIST/ISO/DAMA) * Transparent, Audit-Ready AI Processes * Architecture Solutions moving Noise to Insights & Insights to Action Let's make your next "AI Initiative" the one that actually delivers. #AI #DigitalTransfomation #DataGovernance #MidMarket #Automation #EnterpriseAI #KAiMSystems #Consulting

High-quality data is the foundation of successful AI applications. Without reliable data, even the most advanced algorithms can falter. At SeraphicGuardian, we are passionate about helping organizations achieve exceptional data quality and integrity, ensuring that your insights are both accurate and actionable. Here are 3 Tips for Data Integrity: • Regular Assessments: Schedule frequent data quality evaluations to catch issues early. • Automate Validation: Leverage technology to streamline data cleansing and validation processes. • Invest in Quality Tools: Use specialized tools designed to maintain and enhance data integrity. Transform your data into a strategic asset. Reach out to SeraphicGuardian to build a data quality framework that drives accurate, actionable insights. #CleanData #AICompliance #staycompliant #cleandata #EthicalAI #datatrasparency #SeraphicGuardian

“Strategy without data is guesswork. AI without strategy is chaos.” Insight: According to Gartner, Inc., spending on AI-optimized infrastructure-as-a-service is projected to grow 146% by the end of 2025 as organizations scale up specialized compute, storage, and data pipelines. At [Your Company Name], we’re aligning our strategy, data foundation, and infrastructure first—so our AI efforts don’t become chaotic, but instead become growth engines. Business Tip: Start by defining the specific business decision you want AI to improve (e.g., “reduce time-to-market by 20%”), then build the data and infrastructure around that goal. #AI #Technology #Automation #Strategy