🚀 Enterprise AI for Business Acceleration Globant is pioneering the integration of Enterprise AI to revolutionize business operations. By embedding AI across workflows, companies can drastically improve efficiency, decision-making, and product innovation. 🧠 Leveraging LLMs Across Workflows Large Language Models are being deployed to interpret, automate, and enhance complex tasks. Whether it's document summarization, customer insights, or process optimization, LLMs allow businesses to move faster and smarter. 🤖 AI Agents Driving Autonomy Autonomous AI Agents are transforming repetitive and logic-based tasks, allowing employees to focus on more strategic priorities. These agents continuously learn and evolve, reshaping traditional business models into adaptive systems. 🌐 Custom AI Solutions for Enterprises Globant tailors AI strategies per industry, using AI Studios and frameworks like ‘Augmented Coding’ to accelerate software development, automate workloads, and reduce operational costs while maintaining enterprise-grade security. 💼 Future-Proofing with AI By adopting scalable AI technologies now, companies future-proof their operations, foster continuous innovation, and unlock new levels of agility in a digitally competitive world. 🔗 Read more: https://lnkd.in/dHSqdHjJ #enterpriseai #aiagents #llm #digitaltransformation #businessautomation #aiforbusiness #futureofwork #globant #aiintegration #automation

Just a year ago, the promise of true enterprise-wide AI transformation felt distant, like a futuristic dream. Fragmented AI deployments often led to disappointing results, with many companies struggling to achieve significant ROI. According to Forrester, aligning business and technical aspects of AI is crucial, yet this remains a major challenge (Forrester, April 9, 2025). Will this ever be possible? 🤔 But here's why everything is different now 👇 💡 Integrated Approach: EPAM's AI/Run.Transform Playbook offers a comprehensive, integrated approach to AI transformation, combining advisory, engineering, and operational excellence for a holistic solution. 💻 AI-Native Engineering: They're using agentic workflows into the Software Development Life Cycle (SDLC) that standardize critical elements, like context, workflows-as-code and performance measurement, to improve outcomes. 🚀 Scalable Adoption: The Playbook emphasizes AI adoption at scale, leveraging proven blueprints, talent, and tools, to maximize AI ROI and create AI-native revenue streams. This is about making AI a real engine for growth. Has it been a smooth ride? Absolutely not. The future is here! EPAM's new playbook represents a major shift toward realizing the full potential of AI. For a competitive edge, go beyond basic AI implementations and investigate EPAM's AI/Run.Transform Playbook. Ready to leverage this for your business? We can be your reliable partner for building AI chatbots, AI automation, and custom business solutions. Contact us to start your project: 📧 office@sack-trading.com | info@sacktradingitagency.store 🌐 agency.sack-trading.com | sacktradingitagency.store

KPMG | Low-Code, high impact: the new frontier of AI accessibility Do you know that democratizing AI with low-code platforms is now the catalyst for true enterprise-wide transformation? ⚡🤝 According to KPMG Compact’s latest analysis, low-code and no-code solutions are breaking down historical barriers to AI adoption, shifting AI from the hands of elite developers into the toolkit of business users across various functions. The key to overcoming "pilot purgatory" and scaling AI's impact lies in enabling non-technical experts to build, deploy, and manage AI-driven solutions swiftly, securely, and at scale. This not only accelerates time-to-value by up to 90% but also dramatically broadens participation, reduces costs, and unlocks innovation agility Key points for CIOs and executives: 1️⃣. 89% of global CEOs now rate AI as the #1 tech lever for competitiveness, yet only 4% of organizations can scale AI beyond pilots—primarily due to complexity and talent shortages. 2️⃣. Low-code AI empowers “citizen developers” to solve business challenges with drag-and-drop tools, embedded AI models, and seamless integrations, exemplified by Microsoft Copilot Studio and major platforms like OutSystems and Mendix. 3️⃣. Enterprise use cases span HR, customer service, finance, operations, and industry verticals—from 80% IT support queries resolved autonomously to banking AI agents that handle millions of customer conversations per year. 4️⃣. Security and governance are enterprise-grade: robust controls, DLP policies, and continuous auditability enable safe expansion—even as non-IT users build solutions. 5️⃣. A 10-step roadmap—starting with vision and metrics, piloting high-value cases, structured onboarding, scaling in logical waves, and ongoing governance—ensures sustainable impact and responsible AI democratization. The frontier firms aren’t just adopting AI—they are redesigning workflows, empowering employees, and using AI as a platform for business empowerment. The future is accessible, participatory, and agile. The time to lead with low-code AI is now. Are you one of these firms? https://lnkd.in/dBUU2A7Q #LowCode #AIAccessibility #DigitalTransformation #CitizenDevelopment #CompactMagazine

🚨 The enterprise AI revolution just got a roadmap. EPAM just dropped something that could change how companies think about AI transformation entirely. Most enterprises are still treating AI like a side project: → Pilot programs that never scale → AI tools scattered across departments → Innovation teams working in isolation → Executives asking "Where's our ROI?" The problem? They're trying to bolt AI onto existing processes instead of becoming truly AI-native. EPAM's new AI/Run™.Transform playbook flips this approach: ✅ **Strategic Integration**: Not just AI tools, but AI-native thinking across every business function ✅ **Modular Blueprints**: Pre-built frameworks that adapt to your industry and scale ✅ **Agentic Capabilities**: Teams that work alongside AI agents, not against them ✅ **Revenue Focus**: Designed to generate AI-native revenue streams faster than traditional ones Here's what makes this different: Instead of asking "How do we use AI?" companies can now ask "How do we become an AI company?" The gap between AI-native companies and traditional ones is widening every quarter. This playbook might be the bridge many enterprises need. The real question: Will your company use this window to transform, or will you watch competitors pull ahead? What's the biggest barrier you see preventing enterprises from becoming truly AI-native?

Most companies are still figuring out how to use AI for basic tasks. Globant just leapfrogged everyone by launching AI agents that can execute real business transactions. Here's what just happened: While OpenAI announced their Agentic Commerce Protocol, Globant released Enterprise AI 2.3 within HOURS—not months. This isn't just fast execution. It's strategic positioning at its finest. The game-changing results speak for themselves: • 80% reduction in legacy system modernization times • 50% cost reduction in software development • AI agents moving from conversations to actual business operations This shift changes everything. We're moving from "AI that talks" to "AI that acts." Imagine AI agents that don't just recommend purchases—they complete them. Not just suggest solutions—they implement them. The companies that adapt to agentic commerce first will have an insurmountable advantage. Those that wait will be playing catch-up for years. The question isn't whether this technology will reshape business operations. It's whether you'll be leading the transformation or scrambling to keep up. How is your organization preparing for AI agents that can take real business actions?

Most companies are still treating AI like a side project—and that's exactly why they're failing. While competitors struggle with scattered AI pilots and proof-of-concepts that never scale, smart enterprises are taking a completely different approach. EPAM just launched AI/Run™.Transform, and it's not another consulting service. It's a complete transformation playbook that addresses the real problem: Most AI initiatives fail because companies lack: → Strategic roadmaps (not just technical implementation) → AI-native talent (not just traditional developers) → Integrated blueprints (not isolated use cases) → Scalable frameworks (not one-off solutions) Here's what makes this different: ✅ AI Blueprints that map your entire transformation journey ✅ Specialized talent trained in AI-native delivery methods ✅ Cutting-edge tools designed for enterprise scale ✅ Strategic consulting that maximizes ROI from day one The companies that win in the next decade won't be the ones with the most AI projects. They'll be the ones that become truly AI-native enterprises. The difference? AI-native companies don't just use AI—they think, operate, and scale with AI at their core. What's holding your organization back from becoming AI-native?

🚀 Exploring AI in ServiceNow: Smarter Workflows, Better Experiences 🔍 What does AI do in ServiceNow? It’s not just about chatbots — AI in ServiceNow is transforming how we work by automating tasks, predicting issues, and delivering personalized experiences. 🧠 Key AI Capabilities: Virtual Agents: AI-powered chatbots that handle common requests and guide users through workflows. Predictive Intelligence: Automatically categorizes and prioritizes incidents based on historical data. Natural Language Understanding (NLU): Lets users interact with the platform using plain language. Generative AI (Now Assist): Creates knowledge articles, summarizes cases, and even generates code or workflows. AIOps: Detects anomalies, correlates events, and helps IT teams resolve issues before they escalate. 💡 Why it matters: AI helps reduce manual effort, speed up resolution times, and improve user satisfaction. It’s like having a smart assistant built into your workflows. 📌 Use Cases I’m exploring: Auto-triaging incidents Generating change request plans Accelerating onboarding with AI agents Creating smarter self-service portals #ServiceNow #AI #NowPlatform #DevJourney #LearningInPublic #Automation #DigitalTransformation #GenerativeAI #VirtualAgent #PredictiveIntelligence

Salesforce announced a $15 billion investment in San Francisco's AI industry over the next five years, aiming to make the city a global hub for artificial intelligence innovation. The plan includes a state-of-the-art AI Incubator Hub on Salesforce's campus and workforce development programs to equip tens of thousands with AI skills for future jobs. CEO Marc Benioff highlighted the importance of supporting businesses, creating jobs, and driving economic growth in Salesforce's hometown, where the company was founded in 1999. The initiative also helps companies transition into "agentic enterprises", where AI agents autonomously handle repetitive tasks, letting employees focus on higher-value work.

Standing on stage in São Paulo, I realized something: I was the only person in the room who didn't speak Portuguese. 😀 Automation leaders from all over Brazil. 2 translators working non-stop. One American sharing a vision for the future of AI & Automation. And you know what? It was absolutely incredible. I keynoted BotCity's premier AI & Automation event with a talk on RPA to AI Agents. Here's the roadmap I shared: 🔨 𝗕𝗨𝗜𝗟𝗗 on your existing RPA/DPA and Intelligent Automation foundations 🚀 𝗣𝗜𝗟𝗢𝗧 Agentic Process Automation (APA) & RAG projects now 🎯 𝗣𝗥𝗘𝗣𝗔𝗥𝗘 for fully Agentic AI systems But here's what really matters—the 𝟰 𝗺𝗲𝗴𝗮-𝘁𝗿𝗲𝗻𝗱𝘀 reshaping how we work: 1️⃣ 𝗙𝗿𝗼𝗺 𝗥𝗶𝗴𝗶𝗱 → 𝗔𝘂𝘁𝗼𝗻𝗼𝗺𝗼𝘂𝘀 The era of "if this, then that" is ending. AI agents will learn, adapt, and make decisions in real-time w/ humans orchestrating them. 2️⃣ 𝗙𝗿𝗼𝗺 𝗜𝘀𝗼𝗹𝗮𝘁𝗲𝗱 𝗔𝗽𝗽𝘀 → 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗢𝗦 Forget disconnected tools. Imagine one intelligent layer where specialized agents collaborate across your entire tech ecosystem. 3️⃣ 𝗙𝗿𝗼𝗺 𝗛𝗶𝗲𝗿𝗮𝗿𝗰𝗵𝘆 → 𝗢𝗿𝗰𝗵𝗲𝘀𝘁𝗿𝗮𝘁𝗶𝗼𝗻 The traditional org chart is becoming obsolete. The future is an "orchestration graph" - dynamic collaboration between humans and AI agents. 4️⃣ 𝗙𝗿𝗼𝗺 𝗘𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝗰𝘆 → 𝗩𝗮𝗹𝘂𝗲 We're done celebrating "hours worked" and "hours saved." The new metric? Value created. Output delivered. Here's what blew me away: the Brazilian automation scene! Watch out, world. 🇧🇷 Brazil's automation leaders aren't waiting for the future - they're creating it. BotCity's Python-first orchestration platform is a perfect example of the innovation happening in Brazil right now. The language barrier? Irrelevant. Great ideas transcend words. Obrigado, BotCity and São Paulo! 🙏 Question: Which phase are you in—BUILD, PILOT, or PREPARE? ---- 🎯 Follow for Agentic AI, Gen AI & RPA trends: https://lnkd.in/gFwv7QiX Repost if this helped you see the shift ♻️ #AI #innovation #technology #automation