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generative ai

2,269 papers

#generative ai Open access Oct 2026

P089: Knowledge graphs for enterprise AI grounding: Google Cloud study

Knowledge graphs for enterprise AI grounding: Google Cloud study Author: Sonu Kumar Singh (Senior Consultant — Cloud & AI Solutions Architecture, Capgemini US LLC) Professional Credential: Member, IEEE (Membership # 102728576) | ORCID: 0009-0002-9180-4946 Abstract Enterprise generative AI becomes dependable only when r...

Sonu Kumar Singh · 0 citations
#generative ai Open access Oct 2026

P125: Data product architecture and domain ownership: Portable multi-cloud study

Data product architecture and domain ownership: Portable multi-cloud study Author: Sonu Kumar Singh (Senior Consultant — Cloud & AI Solutions Architecture, Capgemini US LLC) Professional Credential: Member, IEEE (Membership # 102728576) | ORCID: 0009-0002-9180-4946 Abstract Cloud data platforms are no longer used only...

Sonu Kumar Singh · 0 citations
#generative ai Open access Oct 2026

Autonomous Database Administration Using Generative AI and Retrieval-Augmented Generation for Intelligent Enterprise Cloud Systems

Enterprise database environments have grown into sprawling, heterogeneous estates spanning on-premises systems, Oracle Cloud Infrastructure, Amazon Web Services, and Microsoft Azure, placing an unsustainable operational burden on human database administrators (DBAs). Traditional automation, rooted in rule-based monitor...

Jipsa Mathew, Thomas M. Philip · 0 citations
#generative ai Open access Oct 2026

P062: LLM routing across clouds and models: Microsoft Azure study

LLM routing across clouds and models: Microsoft Azure study Author: Sonu Kumar Singh (Senior Consultant — Cloud & AI Solutions Architecture, Capgemini US LLC) Professional Credential: Member, IEEE (Membership # 102728576) | ORCID: 0009-0002-9180-4946 Abstract Enterprise generative AI becomes dependable only when retrie...

Sonu Kumar Singh · 0 citations
#generative ai Open access Oct 2026

P140: Schema evolution at enterprise scale: Portable multi-cloud study

Schema evolution at enterprise scale: Portable multi-cloud study Author: Sonu Kumar Singh (Senior Consultant — Cloud & AI Solutions Architecture, Capgemini US LLC) Professional Credential: Member, IEEE (Membership # 102728576) | ORCID: 0009-0002-9180-4946 Abstract Cloud data platforms are no longer used only for report...

Sonu Kumar Singh · 0 citations
#generative ai Open access Oct 2026

P063: LLM routing across clouds and models: Amazon Web Services study

LLM routing across clouds and models: Amazon Web Services study Author: Sonu Kumar Singh (Senior Consultant — Cloud & AI Solutions Architecture, Capgemini US LLC) Professional Credential: Member, IEEE (Membership # 102728576) | ORCID: 0009-0002-9180-4946 Abstract Enterprise generative AI becomes dependable only when re...

Sonu Kumar Singh · 0 citations
#generative ai Open access Oct 2026

Generative AI ‐Supported Creative Writing Among Primary School Students: A Study of Creative Writing Performance, Writing Self‐Efficacy, and Flow State

The integration of Generative Artificial Intelligence (GenAI) into creative writing is a growing trend. However, few studies have examined primary school students' interactions with GenAI alongside their writing experiences and resulting writing products. This study compared creative writing performance, w...

Xin Liu, Yi Wen, Xiao-Zhe Yang et al. · 0 citations
#generative ai Open access Oct 2026

P076: Long-context versus retrieval architectures: Cross-cloud comparative study

Long-context versus retrieval architectures: Cross-cloud comparative study Author: Sonu Kumar Singh (Senior Consultant — Cloud & AI Solutions Architecture, Capgemini US LLC) Professional Credential: Member, IEEE (Membership # 102728576) | ORCID: 0009-0002-9180-4946 Abstract Enterprise generative AI becomes dependable o...

Sonu Kumar Singh · 0 citations
#generative ai Open access Oct 2026

P122: Data product architecture and domain ownership: Microsoft Azure study

Data product architecture and domain ownership: Microsoft Azure study Author: Sonu Kumar Singh (Senior Consultant — Cloud & AI Solutions Architecture, Capgemini US LLC) Professional Credential: Member, IEEE (Membership # 102728576) | ORCID: 0009-0002-9180-4946 Abstract Cloud data platforms are no longer used only for r...

Sonu Kumar Singh · 0 citations
#generative ai Open access Oct 2026

P095: Multi-agent orchestration for data operations: Portable multi-cloud study

Multi-agent orchestration for data operations: Portable multi-cloud study Author: Sonu Kumar Singh (Senior Consultant — Cloud & AI Solutions Architecture, Capgemini US LLC) Professional Credential: Member, IEEE (Membership # 102728576) | ORCID: 0009-0002-9180-4946 Abstract Enterprise generative AI becomes dependable on...

Sonu Kumar Singh · 0 citations
#generative ai Open access Oct 2026

Google's Generative AI Search Revolution: What Enterprise Software Companies Must Do Now

Artificial Intelligence has certainly gained attention in recent years and shows no sign of attracting any less as multiple applications and uses for the digital marvel increase! The question is, how well does AI do in information retrieval? According to Full article: https://davidohnstad.net/googles-new-generative-ai-...

David Ohnstad · 0 citations
#generative ai Open access Oct 2026

Google's AI Search Revolution: What Minnesota Businesses and Outdoor Brands Need to Know

Google's AI Search Revolution: What Minnesota Businesses and Outdoor Brands Need to Know If you run a Minnesota business—especially in outdoor recreation, tourism, or local services—you've probably noticed something shift in how Google Search works over the past year. Google's new generative AI search features, particu...

David Ohnstad · 0 citations

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GPT-Lab Oct 12, 2026

AI Has Grown Up. Have We?

AI is moving beyond impressive demos. After World Summit AI 2026 in Amsterdam, GPT-Lab's Muhammad Waseem reflects on what organizations need to make AI agents reliable, responsible and genuinely useful in everyday work. The post AI Has Grown Up. Have We? appeared first on GPT-Lab.

Microsoft Research Blog Oct 7, 2026

Agent Lightning v1.0: A 3,500-Line Lightweight Agentic RL Framework for Training Agents with Real Harnesses

Training AI agents with reinforcement learning can be challenging because their tools, context, and decision-making are managed by complex frameworks. Agent Lightning connects existing agents to RL training, making it easier to improve them without rebuilding them. The post Agent Lightning v1.0: A 3,500-Line Lightweight Agentic RL Framework for Training Agents with Real Harnesses appeared first on Microsoft Research.

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