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Dr. Marcell Vollmer
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As a seasoned Business Angel, Startup Investor, and Senior Advisor, I collaborate with global talents to drive innovations, support dynamic startup founders, and provide strategic guidance to leaders navigating transformations. In my former role as CEO at Prospitalia Group (now Vivecti Group) and Partner & Director at Boston Consulting Group (BCG), I advised C-level executives on procurement, supply chain, finance, shared services, post-merger integration, and digital transformation globally. At BCG, I specialized in digital transformation, new business model innovation, and restructuring with a focus on procurement, supply chain, business process intelligence and operations. As Chief Innovation Officer at Celonis, I championed the concept of the "superfluid enterprise" through process mining, advocating for extraordinary experiences globally. In the capacity of Chief Digital Officer, I served as a 'Digital Ambassador' for SAP, assisting customers worldwide in defining and executing digital transformation strategies across industries. Previously, as Chief Procurement Officer at SAP, I implemented a global category management organization, procurement shared services, and a hybrid model with Ariba, Fieldglass, and Concur. Later, as Chief Operating Officer and Senior Vice President of SAP Ariba, I dedicated my efforts to simplifying procurement and supply chain complexities through innovative software solutions. My diverse roles have equipped me with a deep understanding of technology, compliance, and supplier networks, making me sensitive to the challenges faced by today's procurement leaders. I am passionate about leveraging my experience to drive impactful transformations, foster innovation, and contribute to the success of businesses globally.
Check out Dr. Marcell Vollmer's verified LinkedIn stats (last 30 days)
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Dr. Marcell Vollmer's Best Posts (last 30 days)
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The incredible surge of China’s car exports 🚘🚕🇨🇳 Source 🙏 Eeagli via Amitav Bhattacharjee #AutonomousVehicles #SelfDrivingCars #electriccars #ElectricVehicles #Automotive #5G
Runway of Tariffs Made in a single day using: Images – GPT-4o Image Gen Video – LumaLabsAI Source 🙏 Alvin Foo
🧠💡🤖 #AI Isn’t magic ➡️ It’s Architecture 🏗️ ❗️ 🔴What are the 7️⃣ key layers of AI model architecture👉unpacking how AI is built, trained & scaled ⚙️🚀 ⤵️ Let’s dive in✨ 🟥 𝟭. 𝗣𝗵𝘆𝘀𝗶𝗰𝗮𝗹 𝗟𝗮𝘆𝗲𝗿 (𝗛𝗮𝗿𝗱𝘄𝗮𝗿𝗲 & 𝗜𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲) The foundation of AI execution—GPUs, TPUs, Edge, and even Quantum Computing power modern AI workloads. 🟩 𝟮. 𝗗𝗮𝘁𝗮 𝗟𝗶𝗻𝗸 𝗟𝗮𝘆𝗲𝗿 (𝗠𝗼𝗱𝗲𝗹 𝗦𝗲𝗿𝘃𝗶𝗻𝗴 & 𝗔𝗣𝗜 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻) Where AI meets the real world—MLOps, AI orchestration (LangChain, AutoGPT), and model-serving frameworks ensure AI models remain 𝘀𝗰𝗮𝗹𝗮𝗯𝗹𝗲 𝗮𝗻𝗱 𝗮𝗰𝗰𝗲𝘀𝘀𝗶𝗯𝗹𝗲. 🟦 𝟯. 𝗖𝗼𝗺𝗽𝘂𝘁𝗮𝘁𝗶𝗼𝗻 𝗟𝗮𝘆𝗲𝗿 (𝗣𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴 & 𝗟𝗼𝗴𝗶𝗰𝗮𝗹 𝗘𝘅𝗲𝗰𝘂𝘁𝗶𝗼𝗻) AI models don’t just exist—they compute! From distributed execution to AI frameworks like PyTorch and TensorFlow, this layer handles 𝗿𝗲𝗮𝗹-𝘁𝗶𝗺𝗲 𝗶𝗻𝗳𝗲𝗿𝗲𝗻𝗰𝗲 𝗮𝗻𝗱 𝘁𝗿𝗮𝗶𝗻𝗶𝗻𝗴 𝗼𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻. 🟪 𝟰. 𝗞𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲 𝗟𝗮𝘆𝗲𝗿 (𝗥𝗲𝘁𝗿𝗶𝗲𝘃𝗮𝗹 & 𝗥𝗲𝗮𝘀𝗼𝗻𝗶𝗻𝗴 𝗘𝗻𝗴𝗶𝗻𝗲) The "brain" of AI—enhancing reasoning with 𝗥𝗲𝘁𝗿𝗶𝗲𝘃𝗮𝗹-𝗔𝘂𝗴𝗺𝗲𝗻𝘁𝗲𝗱 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝗼𝗻 (𝗥𝗔𝗚), knowledge graphs, and 𝘃𝗲𝗰𝘁𝗼𝗿 𝘀𝗲𝗮𝗿𝗰𝗵 (used in AI copilots like GitHub Copilot and AI-powered search engines). 🟧 𝟱. 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗟𝗮𝘆𝗲𝗿 (𝗠𝗼𝗱𝗲𝗹 𝗧𝗿𝗮𝗶𝗻𝗶𝗻𝗴 & 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻) The 𝗰𝗼𝗿𝗲 𝗠𝗟/𝗗𝗟 𝘁𝗿𝗮𝗶𝗻𝗶𝗻𝗴 layer—includes transformers, CNNs, reinforcement learning, and optimization techniques (Gradient Descent, Backpropagation, etc.). 🟣 𝟲. 𝗥𝗲𝗽𝗿𝗲𝘀𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻 𝗟𝗮𝘆𝗲𝗿 (𝗗𝗮𝘁𝗮 𝗣𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴 & 𝗙𝗲𝗮𝘁𝘂𝗿𝗲 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴) Raw data → meaningful features. NLP tokenization, embeddings (TF-IDF, Word2Vec, BERT), and normalization are 𝗰𝗿𝘂𝗰𝗶𝗮𝗹 𝗳𝗼𝗿 𝗔𝗜 𝗽𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲. 🟥 𝟳. 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗟𝗮𝘆𝗲𝗿 (𝗔𝗜 𝗜𝗻𝘁𝗲𝗿𝗳𝗮𝗰𝗲 & 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁) The final touch—AI-powered applications like 𝗖𝗵𝗮𝘁𝗚𝗣𝗧, 𝗕𝗮𝗿𝗱, 𝗖𝗹𝗮𝘂𝗱𝗲, AI automation tools, and 𝗟𝗟𝗠-𝗯𝗮𝘀𝗲𝗱 𝗮𝘀𝘀𝗶𝘀𝘁𝗮𝗻𝘁𝘀. 🎯Understanding AI isn’t just about training models, it’s about 𝗸𝗻𝗼𝘄𝗶𝗻𝗴 𝘁𝗵𝗲 𝗳𝘂𝗹𝗹 𝗔𝗜 𝘀𝘁𝗮𝗰𝗸: from 𝗵𝗮𝗿𝗱𝘄𝗮𝗿𝗲 to 𝗱𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁, and everything in between. 📍As AI adoption grows, companies need 𝗲𝗻𝗱-𝘁𝗼-𝗲𝗻𝗱 𝗔𝗜 𝘀𝘁𝗿𝗮𝘁𝗲𝗴𝗶𝗲𝘀 that align 𝗱𝗮𝘁𝗮, 𝗺𝗼𝗱𝗲𝗹𝘀, 𝗶𝗻𝗳𝗿𝗮𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲, 𝗮𝗻𝗱 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗴𝗼𝗮𝗹𝘀. by/ Brij Pandey via Dr. Khulood Almani🇸🇦 د.خلود المانع
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