How AI Will Transform Business Practices

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Summary

Artificial intelligence (AI) is revolutionizing business practices by automating tasks, analyzing data for insights, and optimizing operations across industries. This transformation allows organizations to improve efficiency, reduce costs, and make smarter, faster decisions in real-time.

  • Adopt AI for operations: Integrate AI to automate routine tasks, improve system monitoring, and enhance security, freeing up resources for strategic initiatives.
  • Redesign workflows: Use AI-driven tools to streamline workflows, boost productivity, and enable faster decision-making through data-driven insights.
  • Invest in customization: Build AI solutions tailored to your specific business needs to maximize efficiency, scalability, and return on investment.
Summarized by AI based on LinkedIn member posts
  • View profile for Ganesh Ariyur

    VP, Enterprise Technology Transformation Officer | $500M+ ROI | Architecture, AI, Cloud, Multi-ERP (SAP S/4HANA, Oracle, Workday) | Value Creation, FinOps | Healthcare, Tech, Pharma, Biotech, PE | P&L, M&A| 90+ Countries

    13,482 followers

    The biggest risk in IT right now? Assuming what worked last year will still work tomorrow. (Spoiler: It won’t. AI already changed the rules.) I get asked this constantly: ➡️ “Is AI really the future of IT?” ➡️ “What can AI actually do in operations?” ➡️ “Should we wait or act now?” Here’s the reality: AI isn’t coming. It’s already here. And it's transforming IT operations in 10 very real, very measurable ways: 1️⃣ Automates routine tasks → Saves teams hours 2️⃣ Monitors systems → Prevents outages before they happen 3️⃣ Analyzes data → Surfaces patterns and insights fast 4️⃣ Enhances security → Detects threats in real-time 5️⃣ Improves decision-making → Adds clarity with data 6️⃣ Supports IT teams → Acts as a force multiplier 7️⃣ Streamlines workflows → Removes bottlenecks 8️⃣ Scales operations → Supports growth without chaos 9️⃣ Personalizes UX → Delivers tailored experiences 🔟 Drives innovation → Enables new capabilities This isn’t a vision. It’s already happening. Leaders who wait for the ‘perfect’ AI use case will fall behind. Those who experiment, pilot, and iterate now? They’ll build an unfair advantage. Let’s shift from hype to execution. From “what if” to “what’s next.” Let’s rethink IT with AI at the core. Let’s talk: Strategy → not just tools. Execution → not just experimentation. Outcomes → not just potential. 👇 🔹 Follow me for more insights on enterprise transformation 🔹 Subscribe to my ‘Transform Smarter Blueprint’ newsletter 🔹 Connect with me to explore real-impact strategies 🔹 DM me to explore AI use cases with real business value ♻️ Repost to share the future of IT with your network P.S. I shared 10 ways AI is changing IT operations, but I know there are more. What would you add to the list? Drop a 💡 in the comments.

  • View profile for Carolyn Healey

    Leveraging AI Tools to Build Brands | Fractional CMO | Helping CXOs Upskill Marketing Teams | AI Content Strategist

    7,737 followers

    A year ago, AI was considered a side project. Now it is a core strategy. Forward-looking businesses are moving from hype to implementation, using AI to solve targeted pain points with measurable outcomes. According to McKinsey's latest State of AI report, organizations are rewiring their entire operations around AI to capture measurable value. Here's 11 ways companies are seeing AI-driven ROI: 1/ Customer Service Automation Companies are moving beyond basic chatbots to full-service AI agents. ↳ 45% reduction in response time ↳ 30% cost savings in support operations 2/ Predictive Maintenance AI analyzes equipment data to prevent costly downtime. ↳ 20% decrease in equipment downtime ↳ $2M average annual savings for manufacturing 3/ Personalized Marketing Deep learning models predict customer behavior and optimize campaigns. ↳ 3x increase in conversion rates ↳ 40% reduction in customer acquisition costs 4/ Supply Chain Optimization AI-driven forecasting revolutionizes inventory management. ↳ 15% inventory reduction ↳ 25% improvement in forecast accuracy 5/ Sales Intelligence Advanced analytics turn data into actionable sales insights. ↳ 35% increase in qualified leads ↳ 28% shorter sales cycles 6/ Document Processing NLP transforms unstructured data into business intelligence. ↳ 80% reduction in manual processing time ↳ 60% decrease in errors 7/ Product Development AI accelerates innovation and reduces time-to-market. ↳ 40% faster time-to-market ↳ 25% reduction in development costs 8/ Risk Management Machine learning spots patterns humans miss. ↳ 50% better fraud detection ↳ 30% reduction in false positives 9/ Employee Productivity AI assistants augment human capabilities. ↳ 4 hours saved per employee weekly ↳ 20% increase in output quality 10/ Process Mining AI identifies inefficiencies and optimization opportunities. ↳ 35% efficiency improvement ↳ $3M average operational savings 11/ Knowledge Management AI transforms company data into accessible insights. ↳ 60% faster information retrieval ↳ 40% reduction in training time The key difference in 2025? Custom-built solutions tailoring models to your unique workflows, data sets, and industry context. As AI matures, the gap will widen between companies that customize and those that generalize. What AI initiatives are delivering the best ROI in your organization? Share below 👇 Sign up for my newsletter: https://lnkd.in/gyJ3FqiT ♻️ Repost to your network if they are looking for AI-related content.

  • View profile for Steve Jones
    Steve Jones Steve Jones is an Influencer
    10,090 followers

    🚀 New global research from Capgemini shows AI is no longer just a pilot — it’s delivering real ROI and transforming how businesses run. Our latest AI in Business Operations report, based on insights from over 1,600 senior executives at $1B+ companies, reveals how Generative AI and Agentic AI are redefining core operations — and delivering a solid 1.7× ROI on average. 💡 Some stand-out findings: ✅ 62% of organizations increased Gen AI spending this year ✅ 36% now have dedicated AI budgets ✅ 77% prefer proprietary models for greater control ✅ Agentic AI adoption has doubled — 21% are embedding AI agents in day-to-day operations, with usage set to grow another 48% ✅ Companies are seeing 26–31% cost savings in supply chain, finance, customer service, and HR 📌 What does this mean? AI is scaling fast — but success isn’t accidental. The most mature companies are: 🔹 Building strong data & governance foundations 🔹 Upskilling their people and redesigning processes for AI agents 🔹 Keeping cost discipline while scaling across functions 🔹 Planning clear roadmaps to industrialize AI for sustainable value 👉 Key takeaway: AI is no longer just hype — it’s driving tangible operational impact today. The next step is to scale responsibly and strategically. 📑 Worth a read if you’re shaping your own AI strategy: [Link below] Let’s discuss — how is your organization scaling Gen AI and AI agents in operations? #AI #GenerativeAI #AgenticAI #BusinessOperations #AITransformation #CapgeminiResearch #Leadership #Innovation Sebastien GUIBERT, Srikrishna Srinivasan, Liselotte Fors, Malkolm Larsson, Jonathan Aston, Avinash Arya, Marek Sowa, Weiwei Feng, Sergey P., Bikash Dash, Veer Mohite

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