Open Source License Variations in Linux and Android: Comprehensive Examples and Insights
February 22, 2020
To comply with open source licenses, users must include proper license text in their software. Unfortunately, many times they include poorly-worded texts instead. To help solve this problem, Microsoft …
Implementing an AI multicloud broker
February 19, 2020
Holger Kyas details the AI multicloud broker, which is triggered by Amazon Alexa and mediates between AWS Comprehend (Amazon), Azure Text Analytics (Microsoft), GCP Natural Language (Google), and Watson Tone Analyzer (IBM) to compare and analyze sentiment. The extended AI part generates new sentences (e.g., marketing slogans) with a recurrent neural network (RNN).
Democratization of data science: Using machine learning to build credit risk models
February 14, 2020
Tokyo Century was ready for a change. Credit risk decisions were taking too long and the home office was taking notice. The company needed a full stack data solution to increase the speed of loan authorizations, and it needed it quickly. Moto Tohda explains how Tokyo Century put data at the center of its credit risk decision making and removed institutional knowledge from the process.
Trill: The crown jewel of Microsofts streaming pipeline explained
February 8, 2020
Trill has been open-sourced, making the streaming engine behind services like the Bing Ads platform available for all to use and extend. James Terwilliger, Badrish Chandramouli, and Jonathan Goldstein dive into the history of and insights from streaming data at Microsoft. They demonstrate how its API can power complex application logic and the performance that gives the engine its name.
Container orchestrator to DL workload, Bing's approach: FrameworkLauncher
February 6, 2020
Bing in Microsoft runs large, complex workflows and services, but there was no existing solutions that met its needs. So it created and open-sourced FrameworkLauncher. Kai Liu, Yuqi Wang, and Bin Wang explore the solution, built to orchestrate workloads on YARN through the same interface without changes to the workloads, including large-scale long-running services, batch jobs, and streaming jobs.
Ask not what Brands can do for you
February 1, 2020
You'll see a lot of companies on the OSCON 2019 keynote stage, each sharing how much they love free and open source software. You may even (sarcastically) think, "Gosh am I ever glad I got to hear from all of these Brands!" VM Brasseur explains why this perspective isn't very helpful for the companies trying to do open source correctly. They need usour knowledge, experience, and compassion.
Built to Last - building and growing open source communities
January 31, 2020
Open source has become a cornerstone of many tech stacks. A good idea and few lines of code can be the start of the next big project, but many lose steam because they fail to foster a thriving community to shepherd the project in the years to come. Kay Williams explores key learnings for building strong open source communities based on Microsofts real-world experience with Kubernetes and VSCode.
Why you should care about open source software foundations (sponsored by Microsoft)
January 23, 2020
As more and more businesses and people depend on open source software, critical technologies you rely on need to be sustained. Jon Galloway outlines what open source software foundations do for projects, the community, and the open source ecosystem as well as the importance of corporations and individuals getting involved.
Community projects inform enterprise products (sponsored by Microsoft Azure)
January 22, 2020
Lachlan Evenson and Bridget Kromhout discuss Microsoft's journey to build Kubernetes policy controller Gatekeeper in the open and explain how the tool helped inform how an enterprise offering on Azure. Join in for pragmatic tips on how to effectively contribute to and use open source tools.
The telemetry data revolution at Microsoft (sponsored by Microsoft)
January 18, 2020
Interested in becoming more data driven and empowering your peers and coworkers with insights and data? Yoni Leibowitz and Sasha Rosenbaum share how Microsoft has been constantly transforming its engineering, support, finance, and marketing work via new tech for data-driven decisions.
AI for social good: Saving the planet through data science
January 14, 2020
Global environmental challenges have pushed our planet to the brink of disaster. Rapid advances in deep learning are placing immense power in the hands of consumers and enterprises. Ganes Kesari explains how this power can be marshaled to support environmental groups and researchers who need immediate assistance to address the rapid depletion of our rich biodiversity.
Automated ML: A journey from CRISPR.ML to Azure ML (sponsored by Microsoft Azure)
January 3, 2020
Automated ML is at the forefront of Microsofts push to make Azure ML an end-to-end solution for anyone who wants to build and train models that make predictions from data and then deploy them anywhere. Join Danielle Dean for a surprising conversation about a data scientists dilemma, a researchers ingenuity, and how cloud, data, and AI came together to help build automated ML.
Bringing your machine learning to production with ML Ops (sponsored by Microsoft)
January 2, 2020
Sarah Bird offers an overview of ML Ops (DevOps for machine learning), sharing solutions and best practices for an end-to-end pipeline for data preparation, model training, and model deployment while maintaining a comprehensive audit trail. Join in to learn how to build a cohesive and friction-free ecosystem for data scientists and app developers to collaborate together and maximize impact.
Faster ML over joins of tables
December 24, 2019
Arun Kumar details recent techniques to accelerate ML over data that is the output of joins of multiple tables. Using ideas from query optimization and learning theory, Arun demonstrates how to avoid joins before ML to reduce runtimes and memory and storage footprints. Along the way, he explores open source software prototypes and sample ML code in both R and Python.