A royalty desk quickly learns that “payment problem” covers very different states. Money may not yet be due. It may have been released and returned. The payee record may have changed. Read More
Thought Leadership
Rethinking Support in Research Publishing: From Self-Service to Specialist Expertise
The author should not have to wait for a person to retrieve information the publisher already holds. Self-service can confirm the relevant agreement, explain the conditions, and show what the author needs to do next. Read More
Engineering the Intelligent Future of Scientific Publishing
For more than three centuries, scientific publishers have served as the custodians of scholarly communication. Their value was built on curating, validating, and distributing knowledge. But in the age of generative AI.
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AI-Powered Science & Research Publishing Journey: A Complete Framework for Authors and Publishing Operations
AI is beginning to help with this everyday work. Authors can search the literature more intelligently and get support with language. Editorial offices can check submissions and build reviewer shortlists. Read More
Want Better Agentic Search?
Almost every enterprise wants agents that can search, reason, and act across complex information. The promise is compelling. Ask a question in natural language, let the agent navigate the organization’s knowledge. Read More
AI-Enabled or AI-Native? The Difference Between an AI Assistant and an AI Engine
According to Gartner, Artificial Intelligence (AI) spending is hitting a vertical climb, projected to reach a $2.52 trillion market by 2026. Expanding at 44% annually, the industry has moved beyond. Read More
From Service Hubs to Innovation Engines: The Next Mandate for Philippine GCCs
For decades, the global capability center model was built around a clear proposition: concentrate talent, standardize or optimize processes, improve service quality, and deliver at scale. That proposition remains valuable. Read More
Research Integrity Monitoring Is Publishing’s New Infrastructure
A closer investigation revealed that a default model setting had been left unchanged during implementation. As a result, the contribution of reasoning-related tokens to the overall usage was far more than estimated. Read More
Beyond ‘Smart’ AI Models and Human Oversight: Operationalizing AI for OFAC Compliance
The global banking industry is undergoing a complex race to modernize. As cross-border payments grow, trade finance becomes more complex, and customer onboarding speeds up, financial institutions are increasingly using AI Read More
Why AI Optimization Doesn’t End at Go-Live
A closer investigation revealed that a default model setting had been left unchanged during implementation. As a result, the contribution of reasoning-related tokens to the overall usage was far more than estimated. Read More