Core banking modernization succeeds through phased, API-driven transformation—not risky “rip-and-replace” projects—reducing ...

Session Topic] In the AI era, corporate competitiveness is once again defined by data. This session explores how Nexon is ...

AI Impact looks at how AI search is reshaping discovery, why IT services feels squeezed and what better context means for agents.

Big, painful ERP migrations are fading, replaced by agentic SDLC that turns rigid integrations into adaptive, self-healing finance systems. I still remember the feeling of day 1 on a massive ...

Abstract: Access to structured and actionable public information remains a major challenge for government transparency in Peru, where official data are often fragmented, inconsistently published, and ...

Millions of users work with SQL to keep the gears of their business turning. In an era marked by relentless digital transformation, the proliferation of AI workloads, and tightening regulatory demands ...

Evaluate the effectiveness of Microsoft’s Python Risk Identification Toolkit (PyRIT) for agentic AI red teaming. Address evolving autonomous AI system threats.

Using the right model and the right prompt is only part of the enterprise AI challenge, it's also critical to optimize the prompt. The breakthrough in prompt optimization arrives alongside Databricks' ...

Python, R, or SQL: Which reigns supreme in 2025's data science landscape? Compare trends and use cases to choose best language for your data science projects. The data science industry is booming, ...

Are you at the beginning of your path as a Business Analyst? Are you feeling perplexed about the meaning of “ETL” and the practical use of SQL alongside Power BI? No need to fret — you’re not the only ...