CSE Developer Blog

Evaluation Framework for Information Extraction

Omri MendelsJanuary 13, 2021Jan 13, 202101/13/21

In this blog post we cover the process, requirements, and the design of an evaluation framework for NLP and Information Extraction. We cover the reasoning behind such a framework, and discuss its implementation with examples from a Named Entity Recognition evaluation point of view.

Building A Clinical Data Drift Monitoring System With Azure DevOps, Azure Databricks, And MLflow

Nile WilsonOctober 29, 2020Oct 29, 202010/29/20

Hospitals around the world regularly work towards improving the health of their patients as well as ensuring there are enough resources available for patients awaiting care. During these unprecedented times with the COVID-19 pandemic, Intensive Care Units are having to make difficult decisions at a greater frequency to optimize patient health ...

Using Blockchain To Securely Transfer And Verify Files

Lilian KasemJuly 30, 2019Jul 30, 201907/30/19

As 3D printing becomes an integral part of the manufacturing industries, there are new challenges that must be solved to promote mass adoption. Primarily, how do you securely transfer accredited schematics and verify data integrity once it's been delivered? In other words, how can you ensure the schematics were not tampered with in the midst ...

Preventing Rhino Poaching With Microsoft Azure

Olga LiakhovichMay 7, 2019May 7, 201905/7/19

Background In the last eight years, poaching in Africa has been happening at an alarming rate. Currently, the continent loses three rhinos a day. As part of our team’s mission to find new ways that technology can positively impact our world, we’ve been collaborating with the Combating Wildlife Crime team from Peace Parks Foundation (PPF...

Using uPort For Authentication On Blockchain To Improve Standards On The Food Logistics Chain

Zach MillerMarch 29, 2019Mar 29, 201903/29/19

Background Supply chains – made up of individual suppliers, shippers, warehouses, and customers – are extremely complicated conglomerates. When something goes wrong along a supply chain, knowing where and how a shipment went bad can be a huge use of time and energy. This is especially true in the food logistics industry. While ...

Real-time Streaming Of 3D Enterprise Applications From The Cloud To Low-powered Devices

Andrei ErmilovMarch 19, 2019Mar 19, 201903/19/19

Microsoft recently partnered with AVEVA, an engineering, design and management software provider to the Power, Oil & Gas and Marine industries. AVEVA’s challenge is one that is becoming more and more common in the construction visualization space: ever increasing complexity of 3D data that needs to be highly interactive to a customer ...

Assessing the Severity of Acne via Cell Phone Selfie Images Using A Deep Learning Model

Hang ZhangFebruary 5, 2019Feb 5, 201902/5/19

Background Watch this episode of the Decoded Show for an in-depth look with Gary Bradski, the inventor of OpenCV, and the Nestlé team. In the Global Burden of Disease Study 2015, Acne was identified as the 8th most common disease in the world and is estimated to affect as many as 700 million people globally. This skin health ...

Running Parallel Apache Spark Notebook Workloads On Azure Databricks

Clemens WolffJanuary 18, 2019Jan 18, 201901/18/19

Background and Problem Definition In today’s fast-moving world, having access to up-to-date business metrics is key to making data-driven customer-centric decisions. With over 1000 daily flights servicing more than 100 cities and 42 million customers per year, JetBlue has a lot of data to crunch, answering questions such as: What is the ...

Developing and Deploying a Churn Prediction Model with Azure Machine Learning Services

Patty RyanJanuary 10, 2019Jan 10, 201901/10/19

Business Problem For a subscription service business, there are two ways to drive growth: grow the number of new customers, or increase the lifetime value from the customers that you already have by retaining more of them. Improving customer retention requires the ability to predict which subscribers are likely to cancel (referred to as churn...

Real-Time Time Series Analysis at Scale for Trending Topics Detection

Omri MendelsJanuary 2, 2019Jan 2, 201901/2/19

Managing big cities and providing citizens public services requires municipalities to have a keen understanding of what citizens care the most about. And, as the cities we live in seek more and more to become the 'smart cities' of tomorrow, this means gathering and analyzing vast amounts of data. Data gathered from social and municipal sources...