Clinch Named Winner of the 2026 AI Excellence Award – Morningstar
Clinch Named Winner of the 2026 AI Excellence Award Morningstar Go to Source Author:
Clinch Named Winner of the 2026 AI Excellence Award – Morningstar
Clinch Named Winner of the 2026 AI Excellence Award Morningstar Go to Source Author:
Paul Daversa Named “Individual of the Year” as Daversa Redefines Executive Search for the AI Era – Venturebeat
Paul Daversa Named “Individual of the Year” as Daversa Redefines Executive Search for the AI Era Venturebeat Go to Source Author:
OncoHost Wins 2026 Artificial Intelligence Excellence Award in Health Category – PR Newswire
OncoHost Wins 2026 Artificial Intelligence Excellence Award in Health Category PR Newswire Go to Source Author:
MelodyArc Wins 2026 Artificial Intelligence Excellence Award in Orchestration – Business Wire
MelodyArc Wins 2026 Artificial Intelligence Excellence Award in Orchestration Business Wire Go to Source Author:
Machine Learning For Business Intelligence Market Next Big Thing | Major Giants• IBM • Microsoft • Google – openPR.com
Machine Learning For Business Intelligence Market Next Big Thing | Major Giants• IBM • Microsoft • Google openPR.com Go to Source Author:
New ‘StoatWaffle’ malware auto‑executes attacks on developers
A newly disclosed malware strain dubbed “StoatWaffle” is giving fresh teeth to the notorious, developer-targeting “Contagious Interview” threat campaign. According to NTT Security findings, the malware marks an evolution from the long-running campaign’s user-triggered execution to a near-frictionless compromise embedded directly in developer workflows. Attackers are using blockchain-themed project repositories as decoys, embedding a malicious VS Code…
An architecture for engineering AI context
Ensuring reliable and scalable context management in production environments is one of the most persistent challenges in applied AI systems. As organizations move from experimenting with large language models (LLMs) to embedding them deeply into real applications, context has become the dominant bottleneck. Accuracy, reliability, and trust all depend on whether an AI system can…
7 safeguards for observable AI agents
Many organizations are under pressure to take their AI agent experiments and proof of concepts out of pilots and into production. Devops teams may have limited time to ensure these AI agents meet AI agent non-negotiable requirements for production deployments, including implementing observability, monitoring, and other agenticops practices. One question devops teams must answer is…
Designing self-healing microservices with recovery-aware redrive frameworks
Cloud-native microservices are built for resilience, but true fault tolerance requires more than automatic retries. In complex distributed systems, a single failure can cascade across multiple services, databases, caches or third-party APIs, causing widespread disruptions. Traditional retry mechanisms, if applied blindly, can exacerbate failures and create what is known as a retry storm, an exponential…
