Model9, a pioneer of cloud data management for mainframe, has announced new additions to its Growth Advisory Board. They will help guide the company in its global expansion and deepen industry awareness of its unique ability to unlock mission-critical mainframe data to make it available for use by cloud-based artificial intelligence (AI), business intelligence (BI), and machine-learning (ML) applications.
The new members of the board each boast impressive credentials and have experiences in digital & analytics transformation, mainframe, and cloud technologies that are highly relevant toย Model9โs ability to build a hybrid cloud and democratize enterprise mainframe data.
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Suzanne Brodeurย – Suzanne is the former SVP of Technology at Fidelity Investments, with 25+ years leading digital transformation and product development for payments, customer accounts, and digital marketing, leveraging web/mobile/API strategies. She has implemented advanced cloud, data and mainframe modernization strategies and has a broad background in engineering, IT operations, and Agile delivery.
Eugene O’Callaghanย – Eugeneย is a former SVP and GM, Cloud and Platform Services at DXC and was previously with HPE. Today, he is an independentย technology executive and board advisor with 30 yearsโ experience in IT modernization for Fortune 500 companies across a number of industries. Eugene is experienced in strategy and portfolio management, enterprise architecture, general management for IT service practices, and service transformation and operations.
โSuzanne and Eugene have priceless perspectives and insights into the mainframe modernization challenges faced by organizations, as well as overall cloud strategies,โ said Model9 CEO Gil Peleg. โWe believe their combined expertise will bring depth to our historic opportunity to make mainframe data part of the cloud ecosystem and the big data play,โ he added.
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โThe mainframe holds some of the most mission-critical data an organization has, and sharing it with machine learning and artificial intelligence applications in the cloud has the potential to deliver immense value such as developing better digital financial products,โ said Suzanne. โInstead of long, painful, and uncertain projects focused on changing applications, the Model9 approach lets technology leaders move their mainframe data into the cloud first, and make changes at their own pace.โ
โCIOs have been working hard to meet ever-increasing demands to not only make data pipelines work but also to truly integrate them into business strategies by building architectures that create continuous insights,โ continued Eugene. โModel9 makes mainframe data available to the AI/BI/ML applications that consume it and also protects that data with a variety of cyber resiliency strategies as well as by air-gapping copies of data and increasing reliability.โ
Model9โs patented and provenย Cloud Data Managerย for Mainframe modernizes mission-critical data operations and offers a seamless software-based solution to discover, move, transform, and manage mainframe data in any private or public cloud.
Model9, recently named a โGartner Cool Vendor,โ is the only solution that eliminates the need for legacy tape and VTL solutions while enabling direct access to mainframe data in the cloudย without affecting mainframe applications. Bridging the gap between mainframe and cloud is a major innovation that eradicates decades of previously accepted mainframe hardware limitations and opens up an entire world of possibilities for technology leaders.
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