Homepage This page's url is: -crn- Rankings and Research Companies Channelcast Marketing Matters CRNtv Events WOTC Jobs HPE Discover 2019 News Cisco Partner Summit 2019 News Cisco Wi-Fi 6 Newsroom Dell Technologies Newsroom Hitachi Vantara Newsroom HP Reinvent Newsroom IBM Newsroom Ingram Micro ONE 2019 News The IoT Integrator Juniper NXTWORK 2019 News Lenovo Newsroom Lexmark Newsroom NetApp Data Fabric NetApp Insight 2019 News Cisco Live Newsroom HPE Zone Intel Tech Provider Zone

5 Things You Need To Know About HPE’s Machine-Learning BlueData Platform

HPE is tripling down on its artificial intelligence/machine-learning BlueData big data as a service bet, says Patrick Osborne, HPE’s vice president and general manager of big data.

Back 1 ... 3   4   5   6  

HPE BlueData Moves Partners Into High-Value, High-Margin Territory

With AI and machine learning transforming every industry, the BlueData big data as a service offering is a high-margin opportunity for partners.

“This is a big opportunity and it’s sticky,” said Osborne. “It’s a combination of services, subscription software and it drags a big platform sale. It’s a land-and-expand methodology that starts with a pilot to prove out a couple of application stack scenarios for a customer.”

The key for partners is proving out the “big data” value proposition and then expanding it into additional solution offerings. “It’s a cyclical, sticky sales cycle,” said Osborne. “You are able to grow the use cases and build a platform for data scientists, analysts and data engineers within the customer. It’s a land-and-expand opportunity.”

Ultiamtely, the BlueData opportunity opens the door for partners to move higher up the solutions stack to tap into high-value, line-of-business strategic applications.

“This is on the front end of the budget cycle for customers,” said Osborne. “Customers are creating budget to put very high-value, highly impactful projects together based on AI, analytics and big data. BlueData for us represents the ability to take those applications that run in containers and unlock the potential of some really key resources for customers with data scientists, data analysts and data engineers. For partners to be relevant in this space, they have to be well-versed in those technologies and change their business to cater to the customer needs in a very data-centric world.”

Back 1 ... 3   4   5   6  

sponsored resources