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Why Data, Not Models, Determines AI Success
Strong models alone are not enough, and this article shows why data readiness, accessibility, and governance often determine whether AI succeeds in production.
Proving the ROI of Enterprise AI: From ESG Insights to Business Outcomes
Enterprise leaders are under pressure to show that AI investments deliver more than experimentation, and this piece explores how to connect initiatives to measurable business outcomes.
Where Should AI Workloads Run? Rethinking Workload Placement in a Hybrid AI World
Because placement decisions affect cost, performance, and control, this piece examines how data gravity and latency shape where AI workloads should run.
Dell's Vrashank Jain on the Data Problem That Could Break Your AI
In this eSpeaks conversation, Vrashank Jain explains why fragmented environments, pipeline complexity, and data bottlenecks continue to slow enterprise AI progress.
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Resources
The Enterprise Guide to Scalable AI
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Resource Library
International Journal of Computer Applications
International Journal of Computer Applications
110 resources
PDF
Networking
A Practical Approach and Mitigation Techniques on Application Layer DDoS Attack in Web Server
PDF
Mobility
New Deafness-Aware MAC Protocol for Directional Antennas in WANET’s
PDF
Mobility
A State-of-the-Art of Routing Protocols for Mobile Ad-Hoc Networks (MANET)
PDF
Mobility
Mobile Ad-Hoc Network Using P-Encryption Scheme
PDF
Security
Efficient Algorithm for RNS Implementation of RSA
PDF
Mobility
Four Ports Multiple Input Multiple Output Diversity Antenna for UWB Applications
PDF
Mobility
Varactor Diode Loaded Reconfigurable Patch Antenna with Adjustable Slots
PDF
Mobility
Comparative Analysis of Plasma Antenna with Metal Antenna
PDF
Big Data
Business Analytics in Traffic Management System
PDF
Enterprise Software
Voice and Data Packets Optimization Using AI Algorithms in User Datagram Protocol
PDF
Big Data
Gender Detection Using Machine Learning Techniques and Delaunay Triangulation
PDF
Big Data
Application of Data Mining in Designing a Recommender System on Social Networks
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