Systems | Development | Analytics | API | Testing

This is a not-to-be-missed event featuring heavy hitters who are paving the way of data analytics and data science sharing best and next practices. Join an industry-leading panel of experts as they discuss how modern data stack (MDS) and multi-cloud strategy are becoming staples for today's future-ready businesses. From empowering data teams to pursue higher-value activities to offering the flexibility to migrate, build, and optimize apps across a variety of environments, the multi-cloud MDS is improving efficiencies and making what were once considered to be analytic pipedreams a reality.

Companies like Netflix, Amazon, Paypal and many more are moving away from monolithic applications to microservice based architectures. In this episode we will showcase how customers can take advantage of this technology utilizing Talend Cloud's new Microservice capabilities. Learn how easy it is to create microservices with Talend Cloud and get some insight into the conceptual difference to Containerization and Kubernetes. The presentation will contain an easy step-by-step guide on how to create, publish and deploy these microservices with Talend. Includes a live showcase where we build and deploy a simple webservice in less than 10 minutes.

Data guides decisions in all aspects of business operations - from deriving insights via IoT and connected devices to reducing customer churn; quickly identifying fraud to personalized marketing experiences. The most innovative companies are effective at capturing, storing, analyzing and making predictions from data to drive better outcomes.

From fraud and security threat detection to flagging abnormalities in healthcare imaging data, there are countless business applications for automatic identification of abnormal data. This process can be challenging, especially when working with large, complex data. This talk explores deep learning approaches (Sequence models, VAEs, GANs) for anomaly detection, when to use them, performance benchmarks and product possibilities.

CDP Data Center is the industry's most powerful, comprehensive data management and analytics platform for on-premises IT environments. Powered by a 100% open source distribution that combines the best technologies from Cloudera and Hortonworks, CDP provides the foundation for extending your workloads to private cloud.

Customer data and analytics can take many forms, from descriptive analytics on operational data to inferring customer sentiment based on real-time social media feeds. With a variety of analytical tools for streaming, operational and unstructured data, businesses are asking more questions of more data, yet deriving and operationalizing the best answers effectively can be a matter of connecting the dots across different analytical workflows and the different teams, from BI analysts to data scientists, that use them.

Big Data is making a big impact in Insurance Data provides the foundation for insurance companies to strive ahead with innovative offerings to advance their competitiveness and efficiency. It's estimated that by 2021, $2.6 billion will be invested in data technologies by insurance companies. How and where that investment is made is more critical than ever before for insurance companies to realize their strategic goals.

Financial services customers today expect a high-quality, more personalized, 24x7 experience across multiple channels. To enable an enhanced customer experience that provides relevant and timely information, financial services organizations must incorporate traditional data sources and leverage emerging data sets and streaming analytics. Modern data and analytics capabilities can help drive improved customer experiences that match customer expectations in this hyper-connected world.