Friction to freedom: Fueling Agile development through secure data automation
February 11, 2020
Data friction was a major roadblock for Choice Hotels, preventing the company from achieving its strategic vision for growth and innovation. Propagating the right data to the right teams was a costly and inefficient process that took weeks of manual effortespecially during peak seasons. Nick Suwyn explains why and how Choice Hotels adopted a DevOps and DataOps approach to solve this issue.
Lightning Talk: Automated DDOS Protection for our National Service-Provider Backbone (that lets our engineers sleep at night)
February 5, 2020
At Flexential (formerly Peak10 + Viawest) we created an automated DDOS detection/mitigation solution that protects all company and customer IP assets across all of …
Performance evaluation of GANs in a semisupervised OCR use case
February 3, 2020
Even in the age of big data, labeled data is a scarce resource in many machine learning use cases. Florian Wilhelm evaluates generative adversarial networks (GANs) when used to extract information from vehicle registrations under a varying amount of labeled data, compares the performance with supervised learning techniques, and demonstrates a significant improvement when using unlabeled data.
How to break up with your vendor
January 31, 2020
You're unsatisfied with one of your monitoring providers. You've considered finding a new solution, but the thought of migrating your data off their platform sounds extremely painful. Amy Nguyen and Cory Watson explain how to make a deadline for an infrastructure-critical software migration while ensuring that everyone's requirements are met and no data has been lost.
A high-performance system for deep learning inference and visual inspection
January 27, 2020
Moty Fania and Sergei Kom share their experience and lessons learned implementing an AI inference platform to enable internal visual inspection use cases. The platform is based on open source technologies and was designed for real-time, streaming, and online actuation.
From chaos to insight: Automatically derive value from your user-generated content
January 23, 2020
Whether customer emails, product reviews, company wikis, or support communities, user-generated content (UGC) as a form of unstructured text is everywhere, and its growing exponentially. Stephanie Fischer explains how to discover meaningful insights from the UGC of a famous New York discussion forum.
Improving patient screening by applying predictive analytics to electronic medical records.
January 22, 2020
The power of big data continues to modernize traditional industries, including healthcare. Ian Brooks explains how to implement intelligent preventive screening for conditions by applying electronic medical records (EMR) to predictive analytics via supervised machine learning techniques.
Managing data science in the enterprise
January 20, 2020
The honeymoon era of data science is ending, and accountability is coming. Successful data science leaders deliver measurable impact on an increasing share of an enterprises KPIs. Joshua Poduska and Patrick Harrison detail how leading organizations have taken a holistic approach to people, process, and technology to build a sustainable competitive advantage
Marmaray: A generic, scalable, and pluggable Hadoop data ingestion and dispersal framework
January 20, 2020
Danny Chen, Omkar Joshi, and Eric Sayle offer an overview of Marmaray, a generic Hadoop ingestion and dispersal framework recently released to production at Uber. You'll learn how Marmaray can meet a team's data needs by ensuring that data can be reliably ingested into Hive or dispersed into online data stores and take a deep dive into the architecture to see how it all works.
Real-time automated claim processing: The surprising utility of NLP methods on non-text data
January 18, 2020
Processing claims is central to every insurance business. Amro Alkhatib shares a successful business case for automating claims processing, from idea to production. The machine learning-based claim automation model uses NLP methods on non-text data and allows auditable automated claims decisions to be made.
MEF 3.0 Agile, Assured, and Orchestrated Communication Services Across Multi-Providers Automated Networks Using ONAP
January 13, 2020
In November 2017, MEF introduced MEF 3.0, a transformational framework for defining, delivering, and certifying agile, assured, and orchestrated communication services across a global ecosystem of aut …