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Igor Alcantara

Director Data Science and Education Services

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About

Igor Alcantara leads IPC Global's Data Science team and also directs the company's Education Services organization, bringing over 20 years of experience in Qlik development, statistics, and applied data science. Since joining IPC Global in 2004, he has consulted on data science and analytics initiatives for organizations including Harvard University and the University of Southern California. Igor holds a degree in Computer Science from IBTA and a master's from Instituto Tecnológico de Aeronáutica (ITA). He is a host of the podcast "Data Voyagers," where he navigates the vast data universe.

More Articles by Igor Alcantara

Abstract visualization of language-centric analytics and natural language data processing

AI & Machine Learning

5 min read

The Rise of Language-Centric Analytics

Language-centric analytics represents a fundamental shift in how people interact with data. Instead of navigating dashboards, filters, and charts, users can ask questions in natural language and receive contextual, explainable answers. Platforms like Qlik® are pushing analytics toward more human-centered experiences—expanding access to insight while challenging organizations to rethink governance, trust, and adoption.

All Industries

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Robot labeled QLIK surrounded by AI and language icons

AI & Machine Learning

4 min read

Upcoming Changes to Qlik's® Language-Centric Analytics

Language-centric analytics is reshaping how users interact with data. Moving from dashboards and filters to natural language, generative insights, and AI-assisted discovery. Qlik's<strong>®</strong> upcoming enhancements signal a shift toward more intuitive, conversational analytics experiences that expand access without sacrificing governance.

All Industries

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Digital sphere connected by a glowing bridge of light, representing data insights

AI & Machine Learning

6 min read

Understanding SHAP Values: Making Machine Learning Explainable

As machine learning becomes more embedded in business decision-making, understanding why a model produces a specific result is just as important as the result itself. SHAP values provide a powerful framework for explaining model behavior—helping organizations build trust, validate outcomes, and meet growing transparency expectations.

All Industries

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