Two Distinguished Honorees from WekaIO Recognized on CRN’s 2019 Women of the Channel List
SAN JOSE, Calif.--(BUSINESS WIRE)--May 20, 2019--
WekaIO, the innovation leader in high-performance, scalable file storage for data-intensive applications, announced today that CRN®, a brand of The Channel Company, has named Barbara Murphy, VP of Marketing at WekaIO, and Charla Bunton-Johnson, Director of Channel and Field Marketing at WekaIO, to its prestigious 2019 Women of the Channel list. Each year, CRN publishes its Women of the Channel list, recognizing female executives for their accomplishments and the far-reaching impact they have on the technology industry.
CRN editors select executives whose expertise and vision are deserving of recognition as the most powerful women in the channel. The leaders on this annual list are from all areas of the IT channel ecosystem, representing technology suppliers, distributors, solution providers, and other IT organizations. Each is recognized for her contributions to channel advocacy, channel growth and visionary leadership.
Under the combined leadership of Murphy and Bunton-Johnson, WekaIO has quickly grown from stealth to channel powerhouse. In the last year, they have played key roles in developing strategic OEM, technology and reseller partnerships for the company. They support the channel-first culture with a 100% channel centric go-to-market focus. This duo scaled strong partnerships with Dasher Technologies, Groupware, Hewlett Packard Enterprise (HPE), Mark III Systems, Nephos Technologies, and Western Digital and as such they have accelerated customer acquisition for WekaIO representing use cases in artificial intelligence (AI), Machine Learning, life sciences/genomics, finance, media and entertainment, and high-performance computing (HPC). Murphy and Bunton-Johnson have built a solid foundation to facilitate and enable channel sales, supporting the hyperscale growth of WekaIO.
“CRN’s 2019 Women of the Channel list honors influential leaders who are accelerating channel growth through mutually-beneficial partnerships, incredible leadership, strategic vision, and unique contributions in their field,” said Bob Skelley, CEO of The Channel Company. “This accomplished group of leaders is driving channel success and we are proud to honor their achievements.”
“The channel is essential in establishing a strong pipeline of business opportunities and cementing our position as a leader providing HPC class storage for the enterprise,” said Liran Zvibel, Co-founder and CEO at WekaIO. “Barbara and Charla have guided our channel strategy, creating a program where our partners can grow top line revenue by offering differentiated storage solutions to their customers.”
The 2019 Women of the Channel list will be featured in the June issue of CRN Magazine and online at www.CRN.com/WOTC.
About The Channel Company
The Channel Company enables breakthrough IT channel performance with our dominant media, engaging events, expert consulting and education and innovative marketing services and platforms. As the channel catalyst, we connect and empower technology suppliers, solution providers and end users. Backed by more than 30 years of unequalled channel experience, we draw from our deep knowledge to envision innovative new solutions for ever-evolving challenges in the technology marketplace. www.thechannelcompany.com
Copyright ©2019. CRN is a registered trademark of The Channel Company, LLC. All rights reserved.
WekaIO helps companies manage, scale and futureproof their data center so they can solve real problems that impact the world. WekaIO Matrix™, the world’s fastest shared parallel file system and WekaIO’s flagship product, leapfrogs legacy storage infrastructures by delivering simplicity, scale, and the best performance density per U, for a fraction of the cost. In the cloud or on-premises, WekaIO’s NVMe-native high-performance software-defined storage solution removes the barriers between the data and the compute layer, thus accelerating artificial intelligence, machine learning, genomics, research, and analytics workloads.
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