Homepage
Open in app
Sign inGet started

Data Science at Microsoft

Lessons learned in the practice of data science at Microsoft

  • Methods
  • Visualization
  • Engineering
  • Organization
  • Development
  • People
  • All
  • Go to the profile of Eva Jurado Cortés
    Eva Jurado Cortés
    May 7

    AI agents: The digital sidekicks we never knew we needed!

    Read more…
    Go to the profile of Marco Zatta
    Marco Zatta
    May 5

    How to improve mathematical skills with AutoGen agents

    Read more…
    Go to the profile of Aparana Gupta
    Aparana Gupta
    Apr 30

    Stop the spill: The blueprint for eradicating data leakage

    Read more…
    Go to the profile of Chandan Srivastava
    Chandan Srivastava
    Apr 28

    Empowering field engineers with SLM-based AI copilots in disconnected mode

    Welcome to an era of Small…

    Read more…
    1 response
    Go to the profile of Darshkodwani
    Darshkodwani
    Apr 23

    SLMs on edge: A classifier approach for function calling

    Read more…
    Go to the profile of Davidjonietz
    Davidjonietz
    Apr 21

    Safety and security in agentic systems

    Safety and security in agentic AI systems are critical due to…

    Read more…
    Go to the profile of Mehul Jain
    Mehul Jain
    Apr 16

    Continuous improvement with agentic AI: Conducting a virtual gemba walk

    Read more…
    Go to the profile of Juhi Singh
    Juhi Singh
    Apr 14

    Comprehensive evaluation framework for LLM-generated content

    Read more…
    Go to the profile of Aparana Gupta
    Aparana Gupta
    Apr 7

    Data currency: Gain the temporal edge in AI

    In today’s hyper-connected digital era, where every millisecond can redefine markets…

    Read more…
    Go to the profile of Juhi Singh
    Juhi Singh
    Mar 31

    Optimizing prompt refinement: Algorithmic strategies for LLM-driven classification

    Read more…
    Go to the profile of Aparana Gupta
    Aparana Gupta
    Mar 26

    Data distillation: Preserving essence when distilling smart and synthetic data

    Read more…
    Go to the profile of Sabrina Bonaparte
    Sabrina Bonaparte
    Mar 24

    Data skills: Unlocking career versatility

    Does the thought of not knowing what’s around the next corner scare you or give you…

    Read more…
    Go to the profile of Diljeet Singh Sethi
    Diljeet Singh Sethi
    Mar 19

    Figure 1 (High Level Architecture)

    Transforming network outage investigations with AIOps-powered postmortem reports

    Read more…
    Go to the profile of Aparana Gupta
    Aparana Gupta
    Mar 17

    Charting the curves: Decoding non-linear separability in AI

    Read more…
    Go to the profile of Alex Heilman
    Alex Heilman
    Mar 12

    Bootstrap methods for dependent data

    In software development, making well-informed decisions is crucial for achieving success. When…

    Read more…
    Go to the profile of Darshkodwani
    Darshkodwani
    Mar 10

    Decoding strategies for language models in ONNX

    Read more…
    Go to the profile of Aparana Gupta
    Aparana Gupta
    Mar 6

    Navigating the hyperparameter maze: Multidimensional pursuit of precision, performance and practicality

    Read more…
    Go to the profile of shima ghassempour
    shima ghassempour
    Mar 4

    Beyond thumbs up and thumbs down: A human-centered approach to evaluation design for LLM products

    Read more…
    1 response
    Go to the profile of James Asher
    James Asher
    Feb 27

    The windows of perception: Object recognition and region proposals

    A deep dive into history and…

    Read more…
    Go to the profile of Nikhil Sachdeva
    Nikhil Sachdeva
    Feb 25

    The AI governance gambit: Scale your AI without making headlines

    Read more…
    Go to the profile of Yash Khasbage
    Yash Khasbage
    Feb 20

    Building a multimodal Retrieval Augmented Generation (RAG) system: A technical overview

    Read more…
    Go to the profile of Annie Wong
    Annie Wong
    Feb 18

    Five ways AI is transforming discovery and design in materials science

    Read more…
    Go to the profile of Aparana Gupta
    Aparana Gupta
    Feb 13

    Countering data inbreeding in AI

    The rise of Artificial Intelligence (AI) has been heralded as one of the most transformative forces of…

    Read more…
    Go to the profile of Juhi Singh
    Juhi Singh
    Feb 11

    Illustration of the Azure Ecosystem Created with DALL·E

    A comprehensive guide to building scalable conversational AI systems with the Azure ecosystem

    Read more…
    Go to the profile of Dhruv Joshi
    Dhruv Joshi
    Feb 6

    Using differential privacy to understand usage patterns in AI applications

    Read more…
    1 response
    About Data Science at MicrosoftLatest StoriesArchiveAbout MediumTermsPrivacyTeams