All Research Sponsored By:Red Hat
-
Build Reliable Network Infrastructure With Certified Solutions
As businesses develop more distributed and data-intensive cloud-native applications, reliable and secure network infrastructures prove critical. To provide your organization with such a network infrastructure, RedHat created tools like Red Hat Ansible Automation Platform and Red Hat OpenStack Platform. Browse this overview to learn more.
-
Red Hat Video
This financial services spotlight webinar hosted by IDC Financial Insights and Red Hat details:The biggest challenges of the finance industry today, where organizations stand, and what comes nextPreparing for the DORA act in the EUAnd best practices in cloud management for financial servicesListen in to the discussion here.
-
Expand Innovation And Operational Efficiency With Linux
This e-book explores the value of Red Hat Enterprise Linux for your organization and the experience you can expect as an adopter. Key takeaways include:35% lower infrastructure costs17% more productive development teams26% faster application development cyclesAccess the e-book here.
-
An It Executive’s Guide To Automation
Most businesses face unprecedented pressure to deliver services with increased speed and proven security practices. For your IT Team, they play a crucial role in meeting these demands, but if they cannot keep up with demand or cannot scale with the business. Read on to learn more about automation and keep up with the speed of your business.
-
Build A Modern Core Banking Platform
Financial institutions must quickly modernize their core banking systems or risk becoming a relic of the past compared to today’s fast-moving fintechs. This briefing details what the characteristics of a modern core banking platform are and explains how Red Hat and Intel can help make it a reality for your organization. Access the brief here.
-
Strengthen Your Core Build A Modern Core Banking System
Modernizing your core banking systems is a strategic, incremental journey that can enhance your offerings and enable better customer connection. Access this infographic to learn how Red Hat can help your financial service address your modernization needs.
-
Hybrid Cloud, Data Streaming & 7 Steps for ML Success
Red Hat OpenShift is working to support a full distributed application stack in multi-cloud and hybrid cloud environments. Access this custom e-guide to learn more about opportunities to enable a common management plane for services deployed across distributed environments as well as how to build a machine learning model in 7 steps.
-
Top 5 ways developers and data scientists can collaborate EN-DSC CS-8
As a developer, you need to be able to collaborate seamlessly with your data science colleagues to work with them to build effective AI-based applications. Access this whitepaper for a checklist of the top 5 ways developers and data scientists can collaborate to make the most of your AI investments.
-
Red Hat OpenShift Data Science EN-DSC CS-1
Explore this product overview to learn how Red Hat OpenShift Data Science gives data scientists and developers a powerful AI/ML platform for building and deploying intelligent applications all in one place.
-
5 ways site reliability engineers can help you EN-DSC CS-19
Organizations have more to gain by concentrating their valuable IT resources on innovating new applications and functionality - not on managing infrastructure. Read on to learn about 5 ways site reliability engineers can help offload infrastructure and application support so that organizations can put their energy into their core competencies.
-
Red Hat OpenShift Data Science EN-DSC CS-15
Tap into this product overview to learn how OpenShift Data Science is helping data scientists rapidly develop, train, test and deploy ML models in the cloud without infrastructure concerns or cloud-specific vendor lock-in.
-
6 ways cloud computing can support your security capabilities EN-DSC CS-16
Embracing cloud computing forces organizations to decide between the cost effectiveness, scalability, and convenience of using the cloud or the comfort of your own servers. But is on-premises more secure than cloud computing? Many experts say no. Read this checklist for 6 reasons why cloud-based security is superior to traditional security.
-
Top considerations for building a production-ready AI ML environment EN-DSC CS-12
By building AI, ML, and deep learning into your software applications, you can achieve measurable business outcomes including better customer satisfaction, automation across operations, and higher revenue. Access this white paper to learn the 6 steps of the AI/ML life cycle and learn how you can create a production-ready AI environment.
-
Top 5 considerations for your AI ML platform EN-DSC CS-4
Artificial intelligence (AI) and machine learning (ML) are essential for today’s organizations. But there is still a lack of collaboration involved in the development of AI and ML applications. Download this checklist to learn 5 considerations needed to implement MLOps processes that help teams create data-driven applications for your business.
-
Digital transformation, the open source way
Learn how to unite people, process, and architecture through digital transformation, using open source principles.