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Agentic AI design: An architectural case study

CIO Business Intelligence

But with the advent of GPT-3 in 2020, LLMs exploded onto the scene, captivating the world’s attention and forever altering the landscape of artificial intelligence (AI), and in the process, becoming an essential part of our everyday computing lives. Don’t let that scare you off.

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CompTIA introduces foundational tech certification

Network World

The Tech+ certification covers basic concepts from security and software development as well as information on emerging technologies such as artificial intelligence, robotics, and quantum computing. Security: Understand confidentiality, integrity, and availability concerns of secure devices and best practice methods.

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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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5 dead-end IT skills — and how to avoid becoming obsolete

CIO Business Intelligence

That means IT veterans are now expected to support their organization’s strategies to embrace artificial intelligence, advanced cybersecurity methods, and automation to get ahead and stay ahead in their careers. In software development today, automated testing is already well established and accelerating.

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12 AI predictions for 2025

CIO Business Intelligence

The fields of customer service, marketing, and customer development are going to see massive adoption, he says. He expects the same to happen in all areas of software development, starting with user requirements research through project management and all the way to testing and quality assurance.

CTO Hire 354
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Companies to shift AI goals in 2025 — with setbacks inevitable, Forrester predicts

CIO Business Intelligence

75% of firms that build aspirational agentic AI architectures on their own will fail. The challenge is that these architectures are convoluted, requiring diverse and multiple models, sophisticated retrieval-augmented generation stacks, advanced data architectures, and niche expertise,” they said. “The

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Redefining enterprise transformation in the age of intelligent ecosystems

CIO Business Intelligence

A tectonic shift was moving us all from monolithic architectures to self-service models and an existential crisis for architecture and IT was upon us. So, what do systems of intelligence mean in terms of the same ecosystem-based players that have plagued IT with vendor lock-in for decades?