Tag: Enterprise Software
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What Enterprises Need to Know about Generative AI and Intellectual Property
The rise of generative AI has unlocked extraordinary possibilities for creativity, productivity, and automation across industries. From marketing content to software code and product designs, AI-generated outputs reshape how work gets done. But with this transformation comes a critical, often overlooked, concern: intellectual property (IP). As organisations integrate large language models (LLMs), image generators, and…
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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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Federated Learning in Enterprises: Training AI Without Moving Data
In the age of data privacy, cloud sprawl, and ever-tightening regulatory frameworks, enterprises are grappling with a fundamental tension: how to train AI systems on sensitive or geographically dispersed data without violating compliance mandates or introducing new security risks. Enter Federated Learning (FL), a paradigm shift in machine learning that enables model training across decentralised…
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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…
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The Role of SBOM (Software Bill of Materials) in Enterprise Security
As the software landscape becomes increasingly complex and interconnected, enterprises face growing challenges in securing their applications and infrastructure. With the widespread use of open-source libraries, third-party components, containerised deployments, and microservices, organisations are often unaware of what truly resides in their codebases. This visibility gap creates fertile ground for security vulnerabilities to go undetected…