Satyabrata Dutta (DASSM, PMP, SAP Certified), ML / Gen AI Data Scientist, AI Product Manager

Today, SAP and Google Cloud announced SAP Business Data Cloud Connect for Google BigQuery—a new capability introduced at the SAP Connect event in Las Vegas that simplifies access to mission-critical SAP data products from SAP Business Data Cloud through bidirectional, zero-copy sharing.

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https://buff.ly/rlE9WnF AI-based Analytics: SAP Analytics Cloud 'Just Ask' on top of SAP Digital Manufacturing data💡 Learn how SAP Analytics Cloud and SAP Digital Manufacturing advanced analytics and AI-driven insights can give you fast information access and insights, enabling data-driven decisions with confidence. Using intuitive natural language queries with SAC's 'Just Ask' to comprehensive As-Built and Where-Used reports, this solution simplifies data exploration like never before. Read now: https://buff.ly/rlE9WnF

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This blog outlines a proof of concept (PoC) that demonstrates how #Airbus leveraged SAP Business Technology Platform (BTP), SAP Build Process Automation (BPA), and Events-to-Business Actions Framework to automate and orchestrate the missing part fulfillment process within production operations. The solution leverages an #eventdrivenarchitecture to automate business processes based on missing part fulfillment in real-time. Michael Cocquerel https://lnkd.in/eSnHCNta

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Traditional SAP Security ≠ SAP Public Cloud Security Moving to Public Cloud? It’s not just a technical migration—it’s a security mindset shift. From custom role designs to pre-delivered templates, from static systems to continuous updates—the rules have changed. Read the key differences & best practices before your next cloud project. https://lnkd.in/gyAq-pcV

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SAP is at the forefront of AI transformation in 2025 for beginners✔️ SAP is at the forefront of AI transformation in 2025, with game-changing trends rooted in both classical ML and advanced agentic, generative AI—all tightly integrated with core business applications. 400 Embedded AI Use Cases ✔️ SAP is on track to deliver 400 embedded AI use cases across its cloud platforms, including S/4HANA, SuccessFactors, Ariba, and Customer Experience. These range from invoice matching and demand forecasting (using classical ML) to automated supplier checks and service ticket classification by AI agents, showing real operational impact across finance, supply chain, HR, and customer service. Rise of Agentic AI and SAP Joule✔️ Agentic AI is the new SAP headline: systems like the SAP Joule assistant now offer multi-agent capabilities that understand and act on business context, automate workflows, and collaborate seamlessly across functions—enabling a shift from mere analytics to full, proactive process automation. Joule now supports 11 languages, uses real business data, and allows SAP customers to build custom agent workflows. Practical, Business-Driven AI✔️ SAP AI has gone from hype to practical, domain-specific value. ML models are baked directly into workflows businesses already use, enhancing decision-making, reducing manual work, and delivering measurable outcomes like increased automation and improved supply chain agility. ML Still Powers Most Use Cases Despite GenAI’s rise, classical ML (forecasting, clustering, classification) underpins most SAP applications—especially when data is tabular, transactional, or critical to operations. Enterprises lean heavily on these ML models for core tasks (predictive maintenance, fraud detection, procurement analytics), and career demand for ML+GenAI hybrid skills is at an all-time high. Customization, Sustainability, and Integration✔️ SAP is extending AI beyond toolkits—leaning into sustainability metrics, IoT integrations, and process intelligence (via LeanIX, Signavio) to support enterprise transformation. Customizable agents and integration frameworks are letting organizations build precise, ethical, and industry-specific AI solutions directly into their landscapes. → Skip ML, Chase Only GenAI? Get filtered out—SAP interviewers demand solid grounding in ML, not just GenAI “prompting” skills. → Know ML, Stack RAG + Agents? Land top roles and big offers—SAP teams prioritize candidates who combine deep ML skills with GenAI and agentic automation expertise. → SAP Reality: Hybrid expertise in both ML and GenAI is what drives real career growth and premium packages in the SAP ecosystem. Join SAP Daily Insights on Telegram for daily SAP Updates! 📢 https://lnkd.in/gmPNGNJE https://lnkd.in/gCqhmKJX Follow Jatin Tiwari for daily SAP trends.

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