Register for an upcoming free, live webcast or browse our on-demand archive of past events. By Allan Liska , Stephen Gates May 31, 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.
By Steve Francis , Nigel Kersten May 10, The cloud in all its forms allows your organization to deliver more value to customers faster. By Anthony Stevens April 19, Deep learning is currently one of the hottest areas in data science. Increasingly, businesses are applying it to gain competitive advantage. According to Gartner, eighty percent of data scientists will have deep learning in their toolkits by By Leon Stigter , Bruno Trimouille April 12, 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.
By Leon Stigter March 13, Modern and digital experiences today are powered by the fine-grained units of execution we call microservices. However, building microservices isn't always simpleβespecially if you're not an expert developer. By Edward Hsu , Shailan Lala March 08, 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.
Simple data queries took minutes, which made building the 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 By Alice LaPlante February 22, This webcast discusses the key infrastructure of digital business platforms, including pervasive integration, event-driven microservices, edge-computing, and machine learning scenarios.
By Brian Womack February 20, Today, traditional artificial intelligence AI and machine learning ML largely depend upon data scientists to formulate labels associated with feature vectors that take into account model attributes such as entity, action, or relationship.
