
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.


Archive
- October 2024(44)
- September 2024(94)
- August 2024(100)
- July 2024(99)
- June 2024(126)
- May 2024(155)
- April 2024(123)
- March 2024(112)
- February 2024(109)
- January 2024(95)
- December 2023(56)
- November 2023(86)
- October 2023(97)
- September 2023(89)
- August 2023(101)
- July 2023(104)
- June 2023(113)
- May 2023(103)
- April 2023(93)
- March 2023(129)
- February 2023(77)
- January 2023(91)
- December 2022(90)
- November 2022(125)
- October 2022(117)
- September 2022(137)
- August 2022(119)
- July 2022(99)
- June 2022(128)
- May 2022(112)
- April 2022(108)
- March 2022(121)
- February 2022(93)
- January 2022(110)
- December 2021(92)
- November 2021(107)
- October 2021(101)
- September 2021(81)
- August 2021(74)
- July 2021(78)
- June 2021(92)
- May 2021(67)
- April 2021(79)
- March 2021(79)
- February 2021(58)
- January 2021(55)
- December 2020(56)
- November 2020(59)
- October 2020(78)
- September 2020(72)
- August 2020(64)
- July 2020(71)
- June 2020(74)
- May 2020(50)
- April 2020(71)
- March 2020(71)
- February 2020(58)
- January 2020(62)
- December 2019(57)
- November 2019(64)
- October 2019(25)
- September 2019(24)
- August 2019(14)
- July 2019(23)
- June 2019(54)
- May 2019(82)
- April 2019(76)
- March 2019(71)
- February 2019(67)
- January 2019(75)
- December 2018(44)
- November 2018(47)
- October 2018(74)
- September 2018(54)
- August 2018(61)
- July 2018(72)
- June 2018(62)
- May 2018(62)
- April 2018(73)
- March 2018(76)
- February 2018(8)
- January 2018(7)
- December 2017(6)
- November 2017(8)
- October 2017(3)
- September 2017(4)
- August 2017(4)
- July 2017(2)
- June 2017(5)
- May 2017(6)
- April 2017(11)
- March 2017(8)
- February 2017(16)
- January 2017(10)
- December 2016(12)
- November 2016(20)
- October 2016(7)
- September 2016(102)
- August 2016(168)
- July 2016(141)
- June 2016(149)
- May 2016(117)
- April 2016(59)
- March 2016(85)
- February 2016(153)
- December 2015(150)