Sell cron, buy Airflow: Modern data pipelines in finance
January 29, 2020
Quantopian integrates financial data from vendors around the globe. As the scope of its operations outgrew cron, the company turned to Apache Airflow, a distributed scheduler and task executor. James Meickle explains how in less than six months, Quantopian was able to rearchitect brittle crontabs into resilient, recoverable pipelines defined in code to which anyone could contribute.
If you thought politics was dirty, you should see the analytics behind it.
January 22, 2020
Forget about the fake news; data and analytics in politics is what drives elections. John Thuma shares ethical dilemmas he faced while proposing analytical solutions to the RNC and DNC. Not only did he help causes he disagreed with, but he also armed politicians with real-time data to manipulate voters.
Using the blockchain in the enterprise
January 16, 2020
Jim Scott details relevant use cases for blockchain-based solutions across a variety of industries, focusing on a suggested architecture to achieve high-transaction-rate private blockchains and decentralized applications backed by a blockchain. Along the way, Jim compares public and private blockchain architectures.
Explaining machine learning models
January 12, 2020
What does it mean to explain a machine learning model, and why is it important? Armen Donigian addresses those questions while discussing several modern explainability methods, including traditional feature contributions, LIME, and DeepLift. Each of these techniques offers a different perspective, and their clever application can reveal new insights and solve business requirements.
Open banking: Fueling innovation on an open source core banking platform
December 27, 2019
Banks are now just starting to embrace open source. Ed Cable and James Dailey share case studies on banks and fintech startups from four different continents that built on top of the Apache Fineract core banking platform, accelerating their innovation, lowering their costs, and transforming them from consumers to contributors of open source.
Driving better predictions in the oil and gas industry with modern data architecture
December 10, 2019
Oil exploration and production is technically challenging, and exploiting the associated data brings its own difficulties. Jane McConnell and Paul Ibberson share best practices and lessons learned helping oil companies modernize their data architecture and plan the IT/OT convergence required to benefit from full digitalization.
Interpretable machine learning products
December 8, 2019
Interpretable models result in more accurate, safer, and more profitable machine learning products, but interpretability can be hard to ensure. Michael Lee Williams examines the growing business case for interpretability, explores concrete applications including churn, finance, and healthcare, and demonstrates the use of LIME, an open source, model-agnostic tool you can apply to your models today.
Good Enough for the Finance Industry: Achieving High Security at Scale with Microservices in Kubernetes
November 27, 2019
Security is a challenge for most companies. Especially those in periods of rapid growth. It is often taken for granted as we trust the frameworks we use to implement the necessary security protocols f …
Operationalize deep learning: How to deploy and consume your LSTM networks for predictive maintenance scenarios
November 22, 2019
Francesca Lazzeri and Fidan Boylu Uz explain how to operationalize LSTM networks to predict the remaining useful life of aircraft engines. They use simulated aircraft sensor values to predict when an aircraft engine will fail in the future so that maintenance can be planned in advance.
Demo of a Real World Deployed Hyperledger Composer/Fabric Blockchain by the Global Legal Blockchain Consortium
November 11, 2019
Beyond the Hype. We hope to help break the notion that there is not any good real-world example of Blockchain utilization outside of finance and combat they myth of extreme cost and technicality diffi …