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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As a long-time part of this industry, I have spent a good part of the last decade talking about the digital transformation. Call it the… Read More »Build an Analytics Strategy for an AI Driven Future with the Hybrid Cloud
The cloud is one of the quickest and most rapidly growing deployment options for businesses around the globe. With the recent surge toward intelligent enterprises,… Read More »Impact of Hybrid Cloud on the AI Driven Future Enterprise
The world is in the era of AI, and we are quickly moving toward the age of intelligence. Organizations across the globe have realized the… Read More »Operationalized End to End Enterprise AI Becomes Mainstream
Organizations across the globe are buzzing about the cloud as the savior of their data management needs that provides them with the assistance they require… Read More »Preparing for AI Driven Future with Hybrid Cloud
