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Why AI Gateways Are Becoming A Critical Layer In Enterprise AI Platforms

تكنولوجيا
Forbes
2026/05/12 - 11:30 515 مشاهدة
تحليل ذكي | AI Editorial Analysis

InnovationWhy AI Gateways Are Becoming A Critical Layer In Enterprise AI PlatformsByRavi Tummalapenta,Forbes Councils Member.for Forbes Technology CouncilCOUNCIL POSTExpertise from Forbes Councils mem...

Opinions expressed are those of the author.

| Membership (fee-based)May 12, 2026, 07:30am EDTRavi Tummalapenta, Executive Director at JPMorgan Chase, focused on enterprise AI platforms & Engineering and agentic system infrastructure.

هذا الخبر من Forbes. خبر يقدم أدوات ذكاء اصطناعي للتلخيص والترجمة والاستماع.

InnovationWhy AI Gateways Are Becoming A Critical Layer In Enterprise AI PlatformsByRavi Tummalapenta,Forbes Councils Member.for Forbes Technology CouncilCOUNCIL POSTExpertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. | Membership (fee-based)May 12, 2026, 07:30am EDTRavi Tummalapenta, Executive Director at JPMorgan Chase, focused on enterprise AI platforms & Engineering and agentic system infrastructure. gettyAcross industries, organizations are embedding large language models into internal platforms, operational workflows and customer-facing applications. But as adoption accelerates, one challenge is becoming increasingly visible: reliability.As AI moves from experimentation into mission-critical infrastructure, the architectural decisions made today will determine whether enterprise deployments are reliable at scale or fragile under load.Many early AI implementations connect applications directly to model provider APIs. This works well for prototypes. Production environments, however, introduce operational realities that are consistently underestimated—rate limits, service interruptions, unstable streaming responses and unpredictable latency.As organizations move toward agentic systems, where AI agents orchestrate tasks across enterprise data, tools and services, the consequences of these failures become more severe. A failed request in a standard AI application returns a bad answer. In an agentic workflow, it may take the wrong action.Reliable AI systems must behave like any other mission-critical infrastructure: predictable, resilient and observable.The Infrastructure GapThis raises an important architectural question for enterprise technology leaders: What infrastructure layer is required to make AI systems reliable at scale?One pattern in enterprise AI platforms is the introduction of an AI gateway layer between applications and model providers. Similar to traditional API gateways, this layer manages...
المصدر: Forbes | Source: Forbes

ملاحظة تحريرية | Editorial Note: نُشر هذا المقال في الأصل بواسطة Forbes. خبر (Khabr) هي منصة إعلامية أردنية مرخّصة تعمل بالذكاء الاصطناعي. نضيف قيمة تحريرية من خلال: تحليل ذكي للأخبار، ملخصات تلقائية، رواية صوتية بالذكاء الاصطناعي، ترجمة متعددة اللغات، وتدقيق الحقائق. هدفنا جعل الأخبار أكثر وضوحاً وسهولةً للقارئ العربي.

This article was originally published by Forbes. Khabr is a licensed Jordanian AI-powered news platform (Registration #82086). We add editorial value through: AI-powered news analysis, automated summaries, AI audio narration, multi-language translation (Arabic, English, French, Turkish), and AI fact-checking. Our mission is to make news more accessible and understandable for Arabic-speaking audiences worldwide.

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المزيد عن تكنولوجيا | More on Technology

هذا الخبر ضمن تغطية خبر لقسم تكنولوجيا. نقدّم لك تحليلات ذكية وملخصات يومية لأهم الأخبار من مصادر موثوقة متعددة. المصدر: Forbes. يوجد 6 مقالات مرتبطة بهذا الموضوع.

This article is part of Khabr's coverage of Technology. We provide AI-powered analysis, summaries, and multi-source aggregation to keep you informed. Source: Forbes. Tags: AI, enterprise, technology.

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