White Paper

Navigating Disruption: A Leader’s Guide to Strategy Under Uncertainty

Navigating Disruption: A Leader’s Guide to Strategy Under Uncertainty

AI, sustainability, digital–industrials are facing disruptive forces that are redefining what it takes to win. What got your company where it is today won’t get you where you need to go tomorrow. A “future back” strategy can help. Industrial companies face a growing range of disruptive forces, from artificial intelligence to sustainability. Learn how a

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Shifting Your Business from Products to Service-Based Business Models: Generating Predictable Revenues

Shifting Your Business from Products to Service-Based Business Models: Generating Predictable Revenues

Executive summary on a recent IndustryWeek-hosted webinar sponsored by SAP Build the best product, and you might not hear from a buyer again for 30 years. Offer that product as a service with continuous updates, technical support and maintenance, and you could generate a continuous partnership with your clients, one that generates regular revenue for

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Discover How an Eye Tracking Study Improves Training Procedures

Discover How an Eye Tracking Study Improves Training Procedures

Did you know that your training processes can be streamlined by visualizing and analyzing key skills within your employee base? Find out how we use eye tracking to capture advanced expertise that you want to preserve and pass on to newer employees. Over time, the skills and abilities of specialist employees become second nature. That

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Top 5 considerations for your AI/ML platform

Top 5 considerations for your AI/ML platform

A checklist for MLOps process implementation Artificial intelligence (AI) and machine learning (ML) are essential for today’s organizations, and data is just as critical to applications as the code they are built on. However, there is still a lack of collaboration between the different groups involved in the development of AI/ML-driven applications. To effectively use

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Overcoming AI and ML roadblocks in banking and insurance

Overcoming AI and ML roadblocks in banking and insurance

As banks and insurance firms join the artificial intelligence (AI) and machine learning (ML) revolution, they need a common platform to take advantage of superior development tools, resources, and security. Discover what your firm can expect along your AI/ML journey, and how Red Hat provides such a platform, giving developers the agility, portability, and scalability

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MLOps for financial services

MLOps for financial services

Bringing intelligent applications to market faster Artificial intelligence and machine learning (AI/ML) can be transformative, allowing financial firms to automate manual tasks, streamline workloads, and gain deep insight for better business outcomes. However, firms are often impeded by slow provisioning processes, a lack of on-demand compute power, and isolated processes. In this checlist, see how

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Leveraging technology to promote financial inclusion

Leveraging technology to promote financial inclusion

The percentage of unbanked adults (i.e., individuals unable or unwilling to use traditional banking services) across the globe remains relatively high, despite a recent rise in the number of people who bank through financial institutions (FIs). This paper by Oxford Economics and Red Hat explores the central role of technology in advancing financial inclusion, based

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Discover how organizations speed AI/ML adoption with Red Hat OpenShift

Discover how organizations speed AI/ML adoption with Red Hat OpenShift

Advance your business with AI and ML Turn your data into a valuable business asset and a competitive advantage with artificial intelligence (AI) and machine learning (ML) technologies. Red Hat® OpenShift® provides an enterprise-grade Kubernetes hybrid cloud platform for running containerized workloads and developing AI workflows and applications. Enterprises across industries are using Red Hat

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From legacy to modern: Migrating from Micro Focus to the Tricentis continuous testing platform

From legacy to modern: Migrating from Micro Focus to the Tricentis continuous testing platform

Micro Focus was built for yesterday’s software development environment. It’s a legacy testing platform that can’t keep pace with today’s Agile development cycles, which require you to move testing earlier in the process, test more frequently, and iterate quickly based on the feedback that testing generates. Read this white paper to learn: Download to learn

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