Analytics, AI, and industrial optimization blog
Articles and news on mathematical modeling, dynamic analytics, AI/ML, Decision Intelligence, Industry 4.0, and industrial process optimization, for leaders in operations, supply chain, technology, data, and management.
News · November 21, 2025
Aleph5 recognized by CIOReview as Top Data Management Platform in Latin America 2025
CIOReview recognized Aleph5 as the Top Data Management Technological Platform in Latin America 2025, highlighting the Ernest platform and the human-centric approach of its solutions.
Articles · March 4, 2019
Is my job at risk in Industry 4.0?
The fear of being replaced by automation is real, but there are at least four reasons not to worry so much: the road to Industry 4.0 is a human-machine synergy.
Articles · April 17, 2020
Short-term challenges for companies facing contingencies
In a contingency, the main concern is usually recovering liquidity. The short-term challenges every company should consider — and the role of analytical technology.
Articles · July 26, 2019
Ideas for evolving toward Industry 4.0
Evolving toward Industry 4.0 can feel overwhelming. How to balance transforming with sustaining the business — with safe steps.
News · April 4, 2022
Alliance that enhances technological capabilities
Aleph5 and HMX.ai formalized an alliance that integrates practical artificial intelligence with industrial optimization software, unifying expert knowledge and machine learning.
Articles · June 5, 2019
The human factor in analytics practice
Descriptive and dynamic analytics demand different technical and human skills. Implementing an analytics practice goes beyond buying software and hiring profiles.
Articles · April 1, 2020
7 advantages of mathematical models in emerging situations
In emergencies, having mathematical models of your business processes lets you evaluate dozens of scenarios, identify risks, and make better decisions in time.
News · April 5, 2021
Aleph5 lecture at Universidad de Monterrey
For Pi Day, Aleph5 delivered the lecture “The importance of mathematical modeling in industry” at UDEM: where mathematics is used and what makes a problem complex.
Articles · December 18, 2018
The 2 phases of analytics
Descriptive analytics describes how a process behaves; dynamic analytics watches, day by day, whether that behavior has changed. An inventory example explains the difference.
Articles · April 26, 2019
Machine Learning in analytical intelligence
Machine learning makes it possible to emulate human analytical processes over huge volumes of data. What a machine can learn — and what to consider before starting a project.
Articles · January 20, 2023
The environment of a digital society
Culture and technology set the course of the digital society. For companies, information is the core of transformation — and to improve it, you must model.
Articles · November 8, 2019
The client-supplier relationship: building trust
Trust is the most valuable asset in a long-term client-supplier relationship. Nine principles for laying the first blocks of trust from the start.
“If you want the POWER to improve, Measure… if you want to Improve, Model.”
Peter Drucker
Proven in real operations
Arauco, Grupo Senda, Vitro, and Flecha Amarilla make daily decisions with Aleph5 models.