Rules of Thumb are easily learned procedures for estimation based on experience or common knowledge. This presentation will examine several ROTs related to the performanceRead More »Rules of Thumb – Relics of the past or valuable nuggets of knowledge?
There are different ways to attack machine learning systems and most data science teams are not equipped with the skills to secure these systems. InRead More »Securing Machine Learning Systems and Environments in the Cloud
All cloud objects are elastic and ephemeral. It is a real problem to understand, analyze and predict their behavior for Cost optimization and Capacity management.Read More »Cloud Usage Data. Cleansing, Aggregation, Summarization, Interpretability and Usability
What do technology leaders today struggle with the most? The who, what, where, and how to present themselves off and on-line in the digital landscape.Read More »6 Strategies to Create Your Personal Brand: Personal Branding For Technology Professionals
The MASF/SETDS method of detecting changes and anomalies in performance data, its recent implementation and the way to use and interpret the results will beRead More »“Perfomalies”. Change and Anomaly Detection in Performance data
Geometrical projections of the transformations of the data space during the execution of the families of algorithms represented by Isolation Forest, Random Forest, and NeuralRead More »Resolution of Hidden Issues of ML Algorithms Using Geometrical Projection of the Data Transformations