Two Critical Dimensions of Data Engineering: Orchestration and ObservabilityIf you have been active professionally in the data space for any length of time, then you know that the business implementation of any…Jan 28Jan 28
Fooled by Statistical RandomnessRandomness is all around us. Its existence sends fear into the hearts of predictive analytics specialists everywhere — if a process is…Jan 222Jan 222
Machine Unlearning: The Value of Imperfect ModelsSource: https://www.fast.ai/posts/2017-11-13-validation-sets.htmlJan 26, 20241Jan 26, 20241
Three Emerging Analytics CategoriesI recently saw an informal online survey that asked users which types of data (tabular, text, images, or “other”) are being used in their…Jul 19, 2023Jul 19, 2023
Delivering Low-Latency Analytics Products for Business SuccessOn-prem data sources have the powerful advantage (for design, development, and deployment of enterprise analytics applications) of…Jul 19, 2023Jul 19, 2023
The Data Space-Time Continuum for Analytics Innovation and Business GrowthWe discussed in another article the key role of enterprise data infrastructure in enabling a culture of data democratization, data…Jul 14, 2023Jul 14, 2023
Solving the Data Daze — Analytics at the Speed of Business QuestionsData is more than just another digital asset of the modern enterprise. It is an essential asset. And data is now a fundamental feature of…Jul 14, 2023Jul 14, 2023
Top 9 Considerations for Enterprise AIArtificial intelligence (AI) is top of mind for executives, business leaders, investors, and most workplace employees everywhere. The…Jul 6, 2023Jul 6, 2023
AI Readiness is Not an OptionThis year, artificial intelligence (AI) has become a major conversation centerpiece at home, in the park, at the gym, at work, everywhere…Jul 6, 2023Jul 6, 2023
Time is a Wasteland — a short story written by ChatGPTI asked ChatGPT to write a short story for me. I asked that the title (and topic) of the story should be “Time is a Wasteland.” The…May 4, 2023May 4, 2023