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AI projects could fail not because of weak tech but because of missing expertise. This guide shows how to identify key roles, close talent gaps, and build an AI team that actually delivers results.

Behind Salesforce’s AI evolution lies a bigger story: how data trust, agentic AI, and human-centric personalization are setting the stage for the next chapter of enterprise intelligence.

Wondering what's the best platform for AI inference in 2025? We break down the top cloud providers, foundation labs, and specialists on model availability, cost, and security.

Managing distributed engineering teams is easier nearshore: real-time collaboration, lower delivery risk, better retention, and enterprise-grade IP protection.

Discover effective strategies for leveraging AI in your business to enhance productivity and decision-making. Read the article for practical insights.

AI delivers enterprise value when paired with strong governance and execution. Here’s how engineering leaders can capture benefits while reducing risk.

Python multiprocessing vs. multithreading: choose the right model for I/O- or CPU-bound work with clear metrics, costs, risks, and a quick test plan.

How to scale Node.js without audit risk? Pair throughput with governance: SBOMs, signed artifacts, tenancy isolation, and SLOs that speed up deals.

Explore the top AI chip companies driving innovation and shaping the tech landscape. Discover their impact and future potential in our latest article.

Discover the essential requirements for ISO 27001 compliance and ensure your organization's information security. Read the guide to achieve success.

How identity abuse, supply-chain attacks, and cloud misconfigurations impact CI/CD and uptime, with CTEM, SBOMs, Zero Trust, and tested recovery.

Stop NetSuite customizations from creating tech debt. This engineering playbook provides a governance framework to turn your ERP into a strategic asset.

A strategic guide for engineering leaders on tech talent acquisition. Covers scalable pipelines, predictive technical evaluations, and key DORA metrics.

Most AI projects stumble because the data isn’t ready. Assessing your company’s data readiness across systems, teams, and culture is the first step toward success.

BairesDev launches the Dev Barometer, a quarterly survey to dive into the minds of senior software engineers. This edition reveals how developers perceive AI’s impact on skills, workflows, and company adoption.