Explore how software “negotiator” bots can autonomously source, bid, and finalize contracts—slashing cycle times and human error. Lillian Juris Summary This article examines the rise of autonomous “negotiator” bots, which are AI-powered agents capable of imitating human behavior and independently conducting negotiations such as sourcing, bidding, and finalizing contracts without direct human involvement. It can be said that the integration

Summary This article analyzes the convergence of modern data lakehouses, metadata control planes (MCP), and emotionally intelligent AI-powered assistants, and how these three core innovations can transform engineering workflows. It contends that integrating these components enables a shift from reactive, siloed operations toward unified, proactive systems that improve development speed, code quality, governance, and cross-team collaboration. Using examples from platforms

Legacy Won’t Scale: Why EA Must Evolve for AI and Cloud Summary Enterprise architecture is at a critical turning point. The rapid expansion of artificial intelligence and cloud-native technologies is challenging long-standing assumptions about how systems should be designed, managed, and scaled. Many organizations continue to rely on legacy infrastructure built with outdated technologies like COBOL. These systems are costly

By: Deep Suchak, Data Science/Generalist InternCo-Author: Rasheed Ali The technology landscape in 2025 presents organizations with a critical strategic decision: how to navigate the convergence of cloud infrastructure and artificial intelligence platforms. This comprehensive analysis examines market leaders in both domains, identifies recurring patterns from previous technology transitions, and provides actionable recommendations for enterprise decision-makers seeking to optimize their technology