In many business scenarios it is no longer desirable to wait hours, days or weeks for the results of analytic processes. Psychologically, people expect real-time… Read More »Real Time Analytics and Stream Processing
Summary: McKinsey says platform companies will represent 30% of global business revenue by next year (2020). In Part 1 of this article we started to… Read More »AI/ML Lessons for Creating a Platform Strategy – Part 2
Describing the Data Science analytics development process has always been a struggle for me. The corporate world is full of linear processes. Major monolithic enterprise… Read More »Why Data Science Development Process is like Playing Game Boy® Final Fantasy
Guest blog by Stephan Loyd. Hello everybody, this is my first post here, so forgive me if I screw it up. Let me firstly introduce… Read More »Data analysis and visualization in Perl
I often encounter blogs highlighting the amount of effort needed to obtain high-quality data for analysis. Many aspects of this effort seem reasonable to me:… Read More »Design Obstacles that Contribute to Job Security
Summary: A little history lesson about all the different names by which the field of data science has been called, and why, whatever you call… Read More »No Matter What You Call It, It’s all the Same Thing
Where will blockchain go in the coming new year 2020? We’re on the edge of 2019. Isn’t this a great time to make predictions about… Read More »Top Blockchain Emerging Trends You Need to Follow in 2020
About a year ago, a young neighbor who’s enrolled in an MS is Data Science program asked my help on an R coding exercise. The… Read More »Working with Control Breaks Data in R.
I continue to be infatuated with the potential of autonomous entities that self-monitor, self-diagnose, self-fix and self-learn without human intervention. The vision of leveraging new… Read More »Creating Autonomous Entities: Optimizing Systems of Subsystems
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