![]() 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 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 ![]()
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