#enterprise-systems

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Data science
fromInfoQ
1 day ago

Redesigning Banking PDF Table Extraction: A Layered Approach with Java

PDF table extraction in enterprise systems is an architectural problem requiring hybrid parsing and machine learning for effective handling.
Data science
fromMarTech
1 week ago

How to make AI work with context instead of prompts | MarTech

AI struggles to operate reliably in enterprises due to its context-blind nature, leading to failures in scaling despite initial successes.
DevOps
fromTheregister
2 weeks ago

IBM wants Arm software on its mainframes for AI support

IBM and Arm are collaborating to enhance enterprise systems for AI and data-intensive workloads using Arm chips.
DevOps
fromInfoWorld
3 weeks ago

How to build an enterprise-grade MCP registry

MCP registries are essential for integrating AI agents with enterprise systems, requiring semantic discovery, governance, and developer-friendly controls.
Software development
fromBusiness Insider
3 months ago

Dell tells staff to get ready for the 'biggest transformation in company history.' Read the memo.

Dell will implement One Dell Way in 2026 to standardize processes, unify systems, and simplify infrastructure for AI-ready operations.
Java
fromInfoQ
10 months ago

Bringing GPU-Level Performance to Enterprise Java: A Practical Guide to CUDA Integration

Java can integrate with CUDA to achieve significant performance gains in workloads.
JNI allows developers to connect Java with native CUDA for high-performance tasks.
Understanding concurrency vs multithreading is essential for utilizing CUDA effectively.
GPU computing offers benefits beyond AI, applicable to secure data processing and more.
fromComputerworld
1 year ago

GenAI is coming to your UEM platform: How to prepare

Generative AI features in unified endpoint management tools offer efficiencies but also pose challenges, influencing enterprise systems and devices.
Artificial intelligence
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