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KPMG Automates, Accelerates and Enhances Artificial Intelligence Workflows with Red Hat OpenShift
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June 30, 2021 News

 

Red Hat and KPMG LLP today announced an ongoing collaboration to augment the KPMG Ignite AI platform with Red Hat OpenShift as a foundational technology. Building on Red Hat OpenShift, KPMG Ignite provides the agility, scalability and flexibility needed to deploy AI at scale, and enables Ignite to be deployed more consistently across the hybrid cloud.

According to the KPMG recent AI study, “Thriving in an AI World”, the rate of AI adoption skyrocketed in many industries because of COVID-19, but many leaders feel this uptick is moving too quickly. The study indicates however, that organisations who prioritise AI in their operations can better know and serve their customers, automate repetitive operations, better inform business strategy and drive greater innovation. To capitalise on these benefits, many of KPMG clients as well as KPMG itself seek to embed AI through multiple IT functions into their overall organizational technology fabric providing better management and analysis of their AI data.

To help meet this need, KPMG offers the Ignite AI platform. Ignite is a U.S.-patented portfolio of AI capabilities that brings together machine learning, document ingestion and optical character recognition capabilities to help analyse and decipher both structured and unstructured data. Ignite focuses on automating, accelerating and enhancing existing AI solutions so organisations can achieve real value from data to make better business decisions across an entire organisation.

KPMG chose Red Hat OpenShift as an enabler of AI across a broad set of modern footprints, providing more flexibility for clients to work across the hybrid cloud, from private clouds to multiple public cloud environments. As the underlying Kubernetes platform, Red Hat OpenShift is a key element for Ignite, based on its ability to provide greater agility, flexibility, portability and scalability for nearly any AI workload in almost every enterprise IT deployment. OpenShift also provides security features and application controls, along with robust, native continuous integration and continuous deployment (CI/CD) capabilities, helping to more quickly operationalise AI capabilities into production with greater security.

This flexibility is necessary to more rapidly develop, deploy and run machine learning (ML) models and associated intelligent applications in production while mitigating risk of being locked into a single cloud provider or hardware stack. Additionally, with the foundation of Red Hat OpenShift, data scientists using the platform can focus on ML modeling and deployment without having to act as IT operations teams or systems administrators.

KPMG has also formed a strategic alliance with Red Hat to provide and enhance these hybrid multi-cloud experiences for clients, bringing greater choice, control and freedom of open source to fuel digital acceleration. This innovative technology approach affords organisations the flexibility of working with and across several of its cloud alliance partners.

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