AI Briefing#data-science
The latest AI and developer news about #data-science, with the original source and a short summary.
The latest AI and developer news about #data-science, with the original source and a short summary.
The shared AI agent queries warehouses and runs analyses using skills maintained by the data team, reducing the need for manual data scientist intervention.
Airbnb provided criteria for deciding whether to refit, respecify, or hold models during retraining.
Daangn's Data Value Team introduces an in-house experiment platform that supports everything from A/B test design to analysis.
Toss Bank standardized collaboration criteria between DS and MLE into an interface.
It's an AI agent tool that combines a map visualization feedback loop for geospatial data analysis.
LY Corporation has integrated the fragmented processes of data analysis through its AI agent 'PJ One Piece,' dramatically cutting analysis speed.
Netflix uses production data and predictive models to reduce uncertainty in content release schedules and manage risk.
Netflix has unveiled an agent workflow that assists expert judgment to improve the accuracy of causal inference.
Codex turns a data science team's scattered inputs into a reviewable first draft of analysis.
According to PwC research, companies that generate economic value from AI go beyond simple tool usage and leverage AI for business model innovation and growth.
AI and agentic AI hiring has surged, but data interviews still test SQL, statistics, and Python.
OpenAI has released GABRIEL, an open-source toolkit that helps social science research by converting qualitative data into quantitative measures.
Airbnb Director of Data Science Peter Coles shares how he transitioned from academia to industry while studying market economics.
Agent engineering is a new field that combines product thinking, engineering, and data science to build reliable LLM systems.
HuggingFace has developed Jupyter Agent, which performs data science tasks by executing code within a notebook environment.
The Hugging Face Hub provides various features for data sharing, including large-scale dataset hosting, a data viewer, and third-party library support.
Unlike app log data, financial data has complex, transaction-centered characteristics that occur even when users are not accessing the app.
This defines the concept of Explainable AI (XAI) and introduces use cases for improving the performance and user experience of Computer Vision and NLP models.
Kurly acknowledged the limitations of CNN models and improved blurry image detection accuracy using a rule-based algorithm based on the Laplacian filter.
Kurly applied a genetic algorithm to reduce the number of unique products per basket by more than 10%, improving logistics processing speed.
Engineers from Kakao's Hadoop Engineering Team held a small talk for 42 Seoul cadets, sharing insights on data roles and required competencies.
Banksalad has established a company-wide A/B testing culture through its experimentation platform and expanded the involvement of data roles in product planning.
The Recommendation Team under Kakao's Community Data Center introduced the development of recommendation algorithms for services such as Melon and KakaoTalk, as well as its organizational culture.