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For the majority of organizations, digital business means pivoting to a culture of organizational agility, where the rapid pace of demand can only be satisfied by faster and more flexible development and delivery models. As most organizations do not have the luxury of completely rebuilding their technology foundation or immediately adopting new practices and mindsets, they are embracing gradual yet fundamental shifts in culture, processes, and technology to support greater velocity and agility. Learn 8 steps to guide your journey to cloud-native application development, including Red Hat® customer success stories.
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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.
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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.
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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.
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New trust and transparency capabilities from IBM represent the cornerstone of how we’re helping businesses build, run and manage AI models and applications across their organizations.
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IBM Watson OpenScale helps solve AI’s black box problem by providing insights into AI health, recommending next steps to improve outcomes, and orchestrating tasks to remediate issues around performance, accuracy, and fairness. You've introduced AI into your enterprise. Now take your AI to the next level with Watson OpenScale.
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ESG recently completed testing of IBM Decision Optimization for Watson Studio, which is designed to enable organizations to accelerate the value they can extract from AI more easily. Testing examined how IBM Watson Studio with Decision Optimization collects data, organizes an analytics foundation, and analyzes insights at scale—with a focus on the ease of operationalizing AI and data science to improve trust, simplify compliance, and speed monetization.
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ESG recently completed testing of IBM Decision Optimization for Watson Studio, which is designed to enable organizations to accelerate the value they can extract from AI more easily. Testing examined how IBM Watson Studio with Decision Optimization collects data, organizes an analytics foundation, and analyzes insights at scale—with a focus on the ease of operationalizing AI and data science to improve trust, simplify compliance, and speed monetization.
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Experts estimate AI has the potential to add $15 trillion to the global economy by 2030. However, many industries are slow to adopt AI technologies because of challenges with information silos, proprietary cloud storage, and less-than-ideal organizational structures.
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IBM Watson Assistant is named as a Leader in conversational computing. It has becoming increasingly important for businesses to build engaging interactions that deliver value to their customers, and IBM is proud to offer technologies that help developers and enterprises enhance those experiences.
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Before making the decision to begin the Conversational AI journey, you must understand the drivers and approaches for building a conversational solution. This will help you to define your strategy. This episode will give you insight into what conversational AI is, the best use cases for AI in customer service, and how to prove that your solution will positively impact your organization.
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IBM is creating solutions designed to make AI processes and results more explainable, understandable and trustworthy to help tackle the problem of "black box" AI