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Software Engineering Daily: Feature Flags with Edith Harbaugh

LaunchDarkly

In episode 729 of Software Engineering Daily, Jeff Meyerson talks with our own Edith Harbaugh, CEO and Co-founder of LaunchDarkly, about feature flagging. This episode was originally published on December 11, 2018 on the Software Engineering Daily site. Jeff Meyerson (JM): Releasing software has inherent risk.

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A year on from Russia’s invasion, Ukrainian startups show astounding resilience

TechCrunch

Blocksport Blocksport builds Web3-ready platform solutions for the professional sports and entertainment industry to enable tokenization use cases for their fan community. Its 2,000 staff work on software and product design for corporate giants including BNY Mellon and Havas, and moved its offices in the Western part of Ukraine.

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5 Takeaways from the 2022 Gartner® Data & Analytics Summit, Orlando, Florida

DataRobot

Everyone needs to work together to achieve value, from business intelligence experts, data scientists, and process modelers to machine learning engineers, software engineers, business analysts, and end users. Data science teams cannot create a model and “throw it over the fence” to another team.

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Organise your engineering teams around the work by reteaming

Abhishek Tiwari

ERP engineering squad - supply chain planning, purchase order management, product lifecycle management, merchandise planning, etc. Back-office engineering squad - customer support, business intelligence, real-estate management, systems for finance & HR, etc. product) don't change over a long period. Probably yes.

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Analytics Maturity Model: Levels, Technologies, and Applications

Altexsoft

We will describe each level from the following perspectives: differences on the operational level; analytics tools companies use to manage and analyze data; business intelligence applications in real life; challenges to overcome and key changes that lead to transition. Ground level of analytics. Gut feeling in decision making.

Analytics 102