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Arista financials offer glimpse of AI network development

Network World

During the vendor’s third-quarter financial call, Arista CEO Jayshree Ullal said she is “pleasantly surprised with the faster acceleration of AI pilots in 2024.” Arista Networks is expecting a potential revenue spike of $1.5 billion from AI-based networking growth through 2025. 30, an increase of 7.1%

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Are enterprises ready to adopt AI at scale?

CIO Business Intelligence

Whether it’s a financial services firm looking to build a personalized virtual assistant or an insurance company in need of ML models capable of identifying potential fraud, artificial intelligence (AI) is primed to transform nearly every industry. Another challenge here stems from the existing architecture within these organizations.

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Forrester’s 2021 Financial Services Architecture Survey Needs Your Input

Forrester IT

Banks and other financial services firms always ask: “What are the others doing?” Source: Financial Services Firms Have Solid […].

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7 types of tech debt that could cripple your business

CIO Business Intelligence

Accenture reports that the top three sources of technical debt are enterprise applications, AI, and enterprise architecture. Build up: Databases that have grown in size, complexity, and usage build up the need to rearchitect the model and architecture to support that growth over time.

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Can serverless fix fintech’s scaling problem?

CIO Business Intelligence

Technology leaders in the financial services sector constantly struggle with the daily challenges of balancing cost, performance, and security the constant demand for high availability means that even a minor system outage could lead to significant financial and reputational losses. Architecture complexity. Vendor lock-in.

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How today’s enterprise architect juggles strategy, tech and innovation

CIO Business Intelligence

Jenga builder: Enterprise architects piece together both reusable and replaceable components and solutions enabling responsive (adaptable, resilient) architectures that accelerate time-to-market without disrupting other components or the architecture overall (e.g. compromising quality, structure, integrity, goals).

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CIOs contend with gen AI growing pains

CIO Business Intelligence

Unfortunately, despite hard-earned lessons around what works and what doesn’t, pressure-tested reference architectures for gen AI — what IT executives want most — remain few and far between, she said. As experts in financial services and commodity markets, there must be standard evaluation methods, he said.

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