2019 Data Processing Measurement Testing 
DataKitchen
APRIL 13, 2021
Testing and Data Observability. It orchestrates complex pipelines, toolchains, and tests across teams, locations, and data centers. Prefect Technologies — Open-source data engineering platform that builds, tests, and runs data workflows. Testing and Data Observability. Production Monitoring and Development Testing.
CIO Business Intelligence
NOVEMBER 1, 2023
So there will be some legacy in combination with new solutions that have been tested in other factories first.” The cloud journey completed Even before the system landscape is changed, Volvo Cars has made its cloud journey — one of the big, ongoing programs when Altehed started his role in 2019. “We
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
CIO Business Intelligence
JULY 13, 2022
Back in 2019, a letter to the US Financial Stability Oversight Council requested the major cloud service providers be designated as systemically important financial market utilities. . What are we doing to get ready for new compliance measures when the regulators tell us we have too many eggs in one basket?
O'Reilly on Data
DECEMBER 12, 2019
In addition to newer innovations, the practice borrows from model risk management, traditional model diagnostics, and software testing. Security vulnerabilities : adversarial actors can compromise the confidentiality, integrity, or availability of an ML model or the data associated with the model, creating a host of undesirable outcomes.
Cloudera
JUNE 22, 2022
Back in 2019, a letter to the US Financial Stability Oversight Council requested the major cloud service providers be designated as systemically important financial market utilities. . What are we doing to get ready for new compliance measures when the regulators tell us we have too many eggs in one basket? We all know the drill. .
datapine
SEPTEMBER 16, 2022
Coupling a kaleidoscopic array of inspirational visual designs throughout the ages with stunning modern-day examples of visualization in action, author Manuel Lima connects the enduring concept of the human relationship with visuals and its application to data in a way that is exciting, engaging, and practical in equal measure.
Domino Data Lab
MAY 8, 2019
At CMU I joined a panel hosted by Zachary Lipton where someone in the audience asked a question about machine learning model interpretation. Visualizations are vital in data science work, with the caveat that the information that they convey may be 4-5 layers of abstraction away from the actual business process being measured.
Expert insights. Personalized for you.
300 
Let's personalize your content