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SAP’s Big Push for Tabular AI. What It Means For Enterprises
While the industry chases chatbots, enterprise giants are realizing real business value lies in a a different kind of AI Model #
In the rapidly evolving landscape of enterprise technology, Generative AI has captured the imagination of boardrooms and developers alike. With its uncanny ability to draft emails, write code, and synthesize vast amounts of unstructured text, it is easy to view Large Language Models (LLMs) as the panacea for all business challenges. However, when we strip away the hype and examine the foundational mechanics of global commerce, a stark reality emerges: businesses do not run on poetry, and they do not operate on unstructured narratives. Businesses run on ledgers, rows, columns, and meticulously structured data.
Enterprise Resource Planning (ERP) systems, with SAP standing as the definitive system of record for the world’s largest organizations, are built on relational, tabular data. For decades, this structured data has been the single source of truth for financials, supply chains, human resources, and manufacturing. When an enterprise needs to forecast inventory shortages, match millions of cash payments to outstanding invoices, or predict customer churn, it does not need a creative or probabilistic generated…