Resilience isn’t built overnight—it’s engineered. In our latest newsletter, we break down the 3 essentials for supply chain resilience: 🔹 Process – Agile planning through S&OP 🔹 Product – Smarter execution with AI 🔹 Perspective – Strategic insight beyond the hype From aligning teams to automating fulfillment, we explore how leading companies are transforming their supply chains with Logility. 👉 Dive into the full newsletter for insights, tools, and innovation highlights.: https://brnw.ch/21wVh7M
How to Build Supply Chain Resilience with Logility
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Heading to the SAFe Summit? Don’t miss Matt Gorbsky’s session: 📍 Booth 403 📅 Wednesday, Sept. 10 | 3:15–3:45 PM MT 🔹 Powering Real-Time Agility with Value Stream Management and GenAI. As enterprises scale agile, the real gap isn’t between teams — it’s between delivery and outcomes. Matt will show how Value Stream Management and generative AI combine to close that gap, turning fragmented data into actionable insights that drive real-time business agility. See how AI-powered VSM can become the new command center for strategy, execution, and measurable results. Check it out here! 👉 https://dy.si/fEZKne2
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Modernizations are becoming more complex, faster, and often done in parallel. Bain learned from financial services leaders how to manage this complexity and leverage critical enablers like data, product management, and AI to accelerate modernization.
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Modernizations are becoming more complex, faster, and often done in parallel. Bain learned from financial services leaders how to manage this complexity and leverage critical enablers like data, product management, and AI to accelerate modernization.
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Modernizations are becoming more complex, faster, and often done in parallel. Bain learned from financial services leaders how to manage this complexity and leverage critical enablers like data, product management, and AI to accelerate modernization.
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Modernizations are becoming more complex, faster, and often done in parallel. Bain learned from financial services leaders how to manage this complexity and leverage critical enablers like data, product management, and AI to accelerate modernization.
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Modernizations are becoming more complex, faster, and often done in parallel. Bain learned from financial services leaders how to manage this complexity and leverage critical enablers like data, product management, and AI to accelerate modernization.
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Marty Cagan talked in a recent post about business logic being embedded in systems. Transformations aren’t easy. You can go try to build something on the side. You can try to rebuild with a strangler pattern. No option is good. What do you do when no one who built the product is still around, no one knows all of the business logic, and you have to replatform? Ask the hard questions. Can we simplify our business. Why does it need to be this hard. Is there another way to meet the same outcome. It’s all typical product work. Not the sexy stuff you see with high flying AI companies, it’s the nuts and bolts of product management.
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Insights from Pigment's 2025 Office of the CFO Report show that leaders are turning to AI for agile, data-driven decision-making. By investing in the right tools, finance teams can proactively conduct complex analyses that compound enterprise success long-term. Swipe to get a glimpse into the data and read more:
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Here's a short video about how systems thinking can provide a far more superior and holistic view of the decisions you make than metrics. 𝗧𝗟;𝗗𝗥: 1. 𝗧𝗵𝗲 𝗠𝗲𝘁𝗿𝗶𝗰 𝗧𝗿𝗮𝗽: Businesses love simple metrics, but they're myopic. Optimising for a single metric (e.g., short-term revenue) often causes unseen, long-term damage elsewhere in the system. 2. 𝗧𝗵𝗲 𝗣𝗿𝗶𝗰𝗲-𝗗𝗿𝗼𝗽 𝗜𝗹𝗹𝘂𝘀𝗶𝗼𝗻: My core example: reducing prices might win an A/B test by boosting immediate sales, but it simultaneously erodes brand perception and customer loyalty. A short-term "win" can become a long-term disaster. 3. 𝗧𝗵𝗲 𝗥𝗲𝗮𝗹 𝗚𝗼𝗮𝗹: We must move from letting experiments 𝘮𝘢𝘬𝘦 decisions to empowering humans to make better decisions 𝘪𝘯𝘧𝘰𝘳𝘮𝘦𝘥 by them. Experiments are just one input, not the final verdict. 4. 𝗧𝗵𝗲 𝗔𝗜 𝗘𝗻𝗮𝗯𝗹𝗲𝗿: This sounds complex, but this is where Generative AI is a game-changer. It can help us synthesize multiple inputs (test data, brand values, customer experience, competitive landscape) to see the whole picture and make smarter, systemic choices. Check it out: https://lnkd.in/e8wJfrwC More on my Apollo analogy: https://lnkd.in/eyDMXEDa #experimentation #cro #productmanagement #growth #digitalexperience #experimentationledgrowth #elg #growthexperimentation
Harnessing Systems Thinking for Effective Decision Making in Business
https://www.loom.com
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Curious about the future of Business Transformation? Our latest GBS 'Inside' magazine reveals how a customer-centric approach is increasing productivity and driving impactful results. This edition is packed with inspiring stories and practical insights on how financial expertise combined with cutting-edge automation technologies drives business transformation for greater efficiency and accuracy. You'll also learn about a cloud-based AI tool that not only optimizes raw material management but also saves time, cuts costs, and protects our planet – and much more! Ready to dive in? Download your free copy. (check the link in my comment below)
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