May 25, the day the GDPR goes into effect, is an important milestone for data protection in the EU and elsewhere, but the journey to GDPR compliance neither begins nor ends there. Alison Howard explains how Microsoft, one of the worlds largest companies, with operations across the EU and around the globe, has prepared for May 25 and beyond.

Advancements in computing technologies and ecommerce platforms have amplified the risk of online fraud, which results in billions of dollars of loss for the financial industry. This trend has urged companies to consider AI techniques, including deep learning, for fraud detection. Francesca Lazzeri and Jaya Mathew explain how to operationalize deep learning models with Azure ML to prevent fraud.

Controlled experiments such as A/B tests have revolutionized the way software is being developed, allowing real users to objectively evaluate new ideas. Ronny Kohavi, Alex Deng, Somit Gupta, and Paul Raff lead an introduction to A/B testing and share lessons learned from one of the largest A/B testing platforms on the planet, running at Microsoft, which executes over 10K experiments a year.

Managing fuel at a company flying 120 millions passengers yearly is not a trivial task. Marcin Pilarczyk explores the main aspects of fuel management of a modern airline and offers an overview of machine learning methods supporting long-term planning and daily decisions.

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.

As organizations look to scale their analytics capability, the need to grow beyond a traditional data warehouse becomes critical, and cloud-based solutions allow more flexibility while being more cost efficient. Billy Liu offers an overview of Kyligence Cloud, a managed Apache Kylin online service designed to speed up mission-critical analytics at web scale for big data.

The emergence of the cloud combined with open source software ushered in an explosive use of a broad range of technologies. Tobias Ternstrom explains why you should step back and attempt to objectively evaluate the problem you are trying to solve before choosing the tool to fix it.

Deploying Hyperledger Fabric to production on Kubernetes is not a solved topic, AID:Tech present their work on designing and open-sourcing Helm Charts.Rather than developing a monolithic Helm chart, A …

Deploying Hyperledger Fabric to production on Kubernetes is not a solved topic, AID:Tech present their work on designing and open-sourcing Helm Charts.Rather than developing a monolithic Helm chart, A …

Deploying Hyperledger Fabric to production on Kubernetes is not a solved topic, AID:Tech present their work on designing and open-sourcing Helm Charts.Rather than developing a monolithic Helm chart, A …