InIBM Data Science in PracticebyJana Thompson·Feb 23, 2022Black Data Scientists and AI Practitioners TodayIn the previous two posts, we covered two historical figures in data science: W.E.B Du Bois and Valerie Thomas. In this penultimate post, I…
InIBM Data Science in PracticebyJana Thompson·Feb 13, 2022Monitoring the Earth: Valerie Thomas and Satellite Image ProcessingWith the increasing usage of monitoring of Earth resources due to climate change, data scientists today regularly use satellite imagery to…
InIBM Data Science in PracticebyHarold Dubnow·Nov 17, 2021Benchmark DesignChoosing Between Open- and Closed-Model Tests
InIBM Data Science in PracticebyOlivia Buzek·Oct 22, 2021The Lifecycle View of Trustworthy AICo-written with Kush Varshney
InIBM Data Science in PracticebyJana Thompson·Oct 14, 2021Data Science in 2021Where Data Science is today and where it’s going
InIBM Data Science in PracticebyVera Qingzi Liao·Sep 9, 2021Building Explainable AI Applications with Question-Driven User-Centered DesignA method you can follow to build XAI applications, developed through our research and collaboration with IBM Design for AI
InIBM Data Science in PracticebyDavid Lebutsch·Sep 1, 2021The technical and cultural implications of ‘as a Service’ anywhereAnywhere [1] computing, the promise of portability in Information Technology, has been a buzzword for decades. Why did this concept grab…A response icon1A response icon1
InIBM Data Science in PracticebyRachit Arora·Aug 13, 2021Spark on Knative (true serverless)Apache Spark is an open-source, scalable, massively parallel, in-memory execution engine for analytics applications. It is an essential…
InIBM Data Science in PracticebyDiptikalyan Saha·Jul 21, 2021Ensuring Trustworthy AI through AI TestingMany industries have centered on AI-based innovation in their business development. However, trust in AI output is crucial for the broad…
InIBM Data Science in PracticebyIBM Developer·Jun 1, 2021Introduction to Project Debater APIsProject Debater team authors: Roy Bar-Haim, Yoav Katz, Elad Venezian, and Noam Slonim
