Brian Womack Creating data labels to adapt to contextual change This webcast discusses the key infrastructure of digital business platforms, including pervasive integration, event-driven microservices, edge-computing, and machine learning scenarios. Alice LaPlante Why integration is the key component of a digital business platform Whether perpetrating credit card fraud and money laundering in the banking industry, or fraud, waste, and abuse in the healthcare field, financial criminals relentlessly devise new attacks that. Using artificial intelligence to fight financial crimesīy Catharine Evans, Avishkar Misra, Simon Moss | February 27, 2018įinancial crimes remain a major ongoing cost to businesses. Simple data queries took minutes, which made building the. To reshape the future of healthcare technology services, athenahealth knew they needed to unlock the data trapped in a monolithic stack built with homegrown tooling around an Oracle database. However, building microservices isn't always simple-especially if you're not an expert developer.ĭesigning infrastructure that turns legacy data into insightīy Edward Hsu, Shailan Lala | March 08, 2018 Modern and digital experiences today are powered by the fine-grained units of execution we call microservices. Leon Stigter A visual approach to building and deploying microservices
In this webinar youâll learn the three ways organizations are rearchitecting DNS to increase performance, improve quality of service, and better manage their migration to the cloud. Rearchitecting your DNS for improved service at the edgeīy Gary Sloper, Andy Still | April 11, 2018 This webcast discusses digital business platforms and their required capabilities, APIs, microservices, and low-code, and how different types of users can leverage a digital business platform for shared benefits. Transform your business app with low-code, APIs, and microservicesīy Leon Stigter, Bruno Trimouille | April 12, 2018 According to Gartner, eighty percent of data scientists will have deep learning in their toolkits by 2018. Increasingly, businesses are applying it to gain competitive advantage. Anthony Stevens Deep Learning: From basic principles to training and deploying models in productionĭeep learning is currently one of the hottest areas in data science. The cloud (in all its forms) allows your organization to deliver more value to customers faster. Containers are the most popular tool for packaging and deploying applications across different environments â so why not just containerize.Īccelerate your business with DevOps and the cloudīy Steve Francis, Nigel Kersten | May 10, 2018
How to do 3d walkthrough in softplan 2016 update#
Jörg Schad Avoiding pitfalls when containerizing Java and JVM applicationsĭevelopers and engineers are constantly looking for ways to update and modernize their Java-based applications. This webcast will help you understand the risk to your networks, websites, applications, APIs, and data and outline how you can mitigate the growing risk posed by malicious bots now and in the future. This webcast discusses a new data and analytics architecture that enables significant improvements in ongoing operational âIndustrial Inspection.âĭefending against malicious bot attacks: Where, when, and howīy Allan Liska, Stephen Gates | May 31, 2018 Improving industrial monitoring with deep learningīy Ben MacKenzie, Bilal Paracha | June 20, 2018