Open banking is impacting the way we do banking globally. In today’s competitive market, APIs can’t be one-offs. They must be part of a complete business strategy. It’s critical to enterprise success.
In a world where users demand new applications, features, and updates across all their devices in real time, container technology is critical. Containers let developers work smarter by creating consistent environments to rapidly develop and deliver cloud-native applications that can run anywhere.
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Developers need resources provisioned for them quickly so they can get started on the next big idea. Operations need to maintain security and reliability in their infrastructure. Together, using hybrid cloud, multi-cloud, container, and Kubernetes technologies, IT can provide the agility and stability needed to deliver services faster.
Cloud-native application development is an approach to building and running applications. It speeds time to market by using the cloud computing model, which is based on key tenets.
In order to keep up with modern computing environments, today’s tech companies must constantly reevaluate their data storage methods.
Data is the foundation of all digital transformation initiatives in the finance industry. Redis Enterprise is the high-performance database of choice across the finance industry including leading credit card companies, multinational banks, consumer and corporate leading firms, boutique financial services, hedge funds and FinTech startups.
Companies looking to gain a competitive advantage in the digital world must create unique and dynamic experiences in order to drive both customer acquisition and continued retention.
In this technical paper, we will examine what existing solutions lack and review a few open source projects that should be considered for future success for operators.
Listen to Rob High, esteemed AI expert and IBM Fellow, and business leaders from a global automation company, one of Scotland’s largest banks and a US based hospital share details on how they are using conversational AI to transform customer service.
Read this paper to learn how oncologists using IBM® Watson® for Genomics can quickly view insights from genomic data analysis which can be used to help them create personalized treatment plans for patients.
Mayo Clinic started working with IBM Watson for Clinical Trial Matching in 2014. Over time, a team of Mayo experts determined optimal workflows and enhanced patient awareness about clinical trials. The system was implemented with a team of clinical research coordinators in the ambulatory practice for breast cancer.
Read this article to learn how Watson for Clinical Trial Matching has enabled Mayo to improve both enrollment metrics for breast cancer clinical trials as well as operational efficiency in its practice.
While cancer research is crucial to help the growing number of patients suffering from the disease, it is difficult to find enough patients that meet the criteria of clinical trials. Using spreadsheets to determine who would benefit from a new treatment can be slow and error prone.
Read this paper to find out how IBM Watson for Clinical Trials Matching is making a major difference.