How to scale API adoption, with ADP

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Being able to scale successful initiatives fast can be your organization's differentiator in today’s digital environment. It’s not easy for technologists though; 50% of IT decision makers say they were unable to complete all the projects they were asked to deliver last year. That’s a significant IT delivery gap to plug.
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OTHER ON-DEMAND WEBINARS

How AI Is Changing Customer Experience

oracle

Watch this on-demand webinar to discover how technologies such as AI, Machine Learning, VR/AR, IoT, and blockchain are innovating Marketing and CX. Hear about Conversational User Interfaces making interaction unseen and effortless via voice assistants and chatbots. Learn why AI is needed for CX to be personalised intelligence at scale. Realise how IoT not only connects product to sales but offers completely new go-to market options.
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5 Linux Security and Management Best Practices for Microsoft Cloud Implementations

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While Linux’s lightweight operating system tremendously improves performance, its benefits often come at the expense of easier management and comprehensive security. Virtualization and cloud administrators – especially those with limited scripting know-how – are frequently challenged by Linux’s command-line-only interface. Microsoft Azure and Hyper-V fully support Linux instances, but don’t provide the tools, training or support required to manage and secure Linux VM lifecycles.
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Transforming telecom customer experience with AI

Elite customer experience has never been more essential to communication service providers. Join this webinar to explore the success-proven ways your telecom business can improve customer engagement with a unique approach to customer-centric data and AI. Don’t miss these lessons from Google Cloud, extensive research takeaways from Omdia, and have your questions answered during a live Q&A. Reserve your seat!
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Machine Learning Informed Artificial Intelligence in Healthcare

Empiric Health’s mission is to reduce unwarranted clinical variation, thereby improving healthcare outcomes and affordability. Primarily focused on surgical services, Empiric Health integrates Electronic Medical Records (EMR) and supply utilization data, which is then processed by a proprietary AI engine that sorts surgical encounters into clinical cohorts, or groups of comparable surgeries. This engine was created hand-in-hand with clinicians in order to facilitate direct clinician engagement. While AI engines provide traceability and clear explanations, they struggle to scale and expand quickly when exposed to novel data or changing practices.
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