Danske Bank is implementing ideas and practices such as CI/CD, microservices, and DevOps within the extreme conditions of a financial enterprise. Angelo Agatino Nicolosi explains how the bank is defining and delivering brand-new financial services at startup speed through the simple concept of an enclave.

The Apache OpenWhisk project (supported by IBM, Adobe, Red Hat, and others) provides a polyglot, autoscaling environment for deploying cloud-native applications driven by data, message, and REST API call events. Daniel Krook explains why serverless architectures are great for cloud workloads and when to consider OpenWhisk in particular for your next web, mobile, IoT, bot, or analytics project.

In the wake of the financial crisis, Thomson Reuters released a novel text-mining-based credit risk model to assess the default risk of publicly traded companies by quantitatively analyzing text. Six years later, the company is updating it to use deep learning. Ryan Roser discusses the benefits and trade-offs involved in transitioning existing analytics to use deep learning.

Rob Reilly demonstrates how to combine Linux, physical computing, and practical application into an attention-grabbing, steampunk-themed, wearable conference badge. Rob walks you through the motivation, idea generation, research, prototyping, build, challenges, and use. And watch for it: he'll wear the badge into the session and then use it to run his tech-talk slide presentation.

Matt Torrisi demonstrates how to build domain traffic easily by enabling multiplatform DNS, covers the important criteria in assessing DNS network compatibility, and walks you through using DNS as a traffic-steering platform.

Jasmin Nakic and Jackie Chu share techniques to identify performance challenges by analyzing production data from Salesforce and other sources and explore the AI models to predict trends, detect anomalies, and troubleshoot performance problems.

The Strata Data conference in London takes place during one of the most important weeks in the history of data regulation, as GDPR begins to be enforced. Steve Touw explores the effects of the GDPR on deploying machine learning models in the EU.

Using public cloud resources to cover for peak workloads is a practical and economical alternative to over provisioning on-premise resources. This is the case in environments like CERN where its large …