Computational Thinking + Doing
Function as a Service (FaaS)
Triggering serverless apps and services—using AWS Lambda, Azure Functions, and GCP Cloud Functions.
Become a Valued Hybrid Thinker + Doer
Problem-Solving by Surfacing the Interconnected Unknowns
Learn the interdisciplinary strategic and tactical activities for leveling-up your initiatives (and your career) in this AI-first era.
Data-Informed Thinking + Doing
Topic Classification Using Language Models
Categorizing the topics of the Federalist Papers (by Alexander Hamilton et al.)—using Google's BERT language model.
Product Thinking + Doing
Product Feature Mix Based on the Kano Model
Prioritizing features objectively based on how important a feature is to customers and the level of satisfaction it would create.
Computational Thinking + Doing
NoSQL Graph Databases
Managing graph relationships of movies and actors—using Amazon Neptune, Azure CosmosDB, and GCP JanusGraph/Cloud Bigtable.
Data-Informed Thinking + Doing
Exploratory Data Analysis on Categorical Data
Univariate, bivariate, and multivariate analyses on the Marvel Comics dataset—using R, Python, and Julia.
Product Thinking + Doing
Data Products That Age Well Over Time
Urgency and patience to balance data product R&D and product-market fit.
Computational Thinking + Doing
Object, Block, and File Store on the Cloud
Storing, retrieving, and sharing American Express data in a simple, reliable, and scalable way—using AWS, Azure, and GCP.
Data-Informed Thinking + Doing
Scaled & Efficient Supervised Learning with AutoML
Accelerating time-to-value by automating modeling tasks on beer consumer data—using H2O.ai in R and Python.
Product Thinking + Doing
Product Requirements for Industrial Internet of Things
Optimizing manufacturing output and efficiency through descriptive, inquisitive, predictive, prescriptive, and preemptive IIoT analytics.
Recent Thoughts