Tag: Enterprise AI
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Shadow AI: Identifying and Managing Unapproved LLM Usage in Teams
As generative AI tools become more accessible and powerful, many enterprise teams are experimenting with large language models (LLMs) like ChatGPT, Bard, and Claude to boost productivity, automate tasks, and generate insights. But with this surge in usage comes a rising risk: shadow AI. Just as “shadow IT” describes unsanctioned technology usage outside formal IT governance,…
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Augmenting Data Catalogs and Building a Smart Inventory of Enterprise Knowledge
As enterprises scale their digital operations, visibility into their data landscape becomes a strategic priority. Modern businesses generate and consume data across cloud platforms, legacy systems, APIs, and third-party tools, yet many struggle to answer a simple question: What data do we have, and where is it? This is where data catalogs come into play.…
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The Role of Semantic Layer in LLM-Ready Enterprise Data Stacks
As large language models (LLMs) become integrated into enterprise workflows, the focus has shifted from just building models to making enterprise data ready for them. One of the most critical enablers of this transformation is the semantic layer, a structured, business-friendly abstraction that sits between raw data and applications or models consuming it. Why Enterprises…
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API-First vs. Data-First A Competing Paradigms in Enterprise Integration
System integration is no longer a luxury in today’s fast-evolving enterprise IT landscape. It’s a necessity. Whether you’re modernising a legacy stack, building digital customer experiences, or enabling internal collaboration, the ability for systems to connect and share information seamlessly is essential. At the heart of this challenge lies a fundamental choice in approach: API-first…
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Neuro-Symbolic AI: A New Chapter for Explainable Enterprise AI
In enterprise AI, performance isn’t everything, trust and transparency are just as critical. As models grow more complex and their decisions shape high-stakes outcomes in finance, healthcare, supply chain, and HR, the demand for explainability has never been greater. Enter neuro-symbolic AI, a hybrid approach that may finally bridge the gap between black-box intelligence and…