HPE to acquire BlueData to accelerate customers AI and Big Data-driven transformations

Our customers are living in a data-driven world and the volume of information they generate is growing exponentially. As a result, companies are increasingly investing in the hardware, software, and services needed to gain actionable insights from their data. By 2022, the total addressable market for artificial intelligence/machine learning (AI/ML) and big data is expected to grow to approximately $160 billion.^[1] However, according to Gartner, by 2020 half of organizations will lack sufficient AI and data literacy skills needed to extract business value from their data, and they are already demanding easier-to-implement, faster-to-deploy, and more cost-effective solutions for AI/ML and big data analytics.^[2]

Today, HPE announced that we are acquiring BlueData, a leading provider of AI/ML and big data analytics infrastructure software, which will significantly expand our footprint in the rapidly growing artificial intelligence and big data analytics space. This acquisition is consistent with our data-first strategy and will enable us to provide an easier, faster, and more cost-effective way to deploy machine learning, data science and analytics applications - whether on-premises, in the cloud, or in a hybrid architecture.

Founded in 2012 and headquartered in Santa Clara, BlueData is a leading provider of container-based software that transforms how enterprises deploy AI/ML and big data analytics. BlueData's current customers include Citi, GlaxoSmithKline, Nasdaq, and Macy's, among others.

Adding BlueData's technology to HPE's market-leading AI/ML and big data analytics solutions is consistent with HPE's data-first strategy and extends the value we can deliver to customers as they address AI/ML and big data deployment challenges. By seamlessly combining BlueData's software platform with HPE's existing software-defined infrastructure and services, we will be able to help customers accelerate their AI and big data transformations by providing an all-encompassing and easy-to-implement solution. With this turn-key solution, customers can potentially reduce their costs significantly and deliver faster time-to-insights from their data.

In addition, BlueData's technology will enable HPE customers to:

 

• Launch containerized AI/ML and big data environments within minutes, through an as-a-service experience
• Deliver the agility and efficiency benefits of Docker containers, while ensuring comparable performance to traditional bare-metal deployments
• Quickly deploy AI/ML and big data analytics applications either on-premises, in a multi-cloud model, or in a hybrid architecture
• Provide the enterprise-grade security necessary to keep data safe, with a multi-tenant platform proven in production at scale

 

I know our team is looking forward to fully integrating BlueData's leading technology into HPE's portfolio of solutions. We expect to close the deal within HPE's fiscal first quarter, which ends January 31, 2019. Together, HPE and BlueData can help our customers harness the power of their data with a solution that makes it easier, faster, and more cost-effective to deploy AI/ML and big data analytics.

More information can be found on the Company's press release regarding this announcement.

 

^[1]By 2022, IDC projects Big Data / Analytics software investments will reach $90 billion  and $77.6 billion for cognitive and artificial intelligence-based systems.

^[2] Fostering Data Literacy and Information as a Second Language: A Gartner Trend Insight Report (February 23, 2018)

 

Forward-looking statements:

Information set forth in this communication, including statements as to Hewlett Packard Enterprise's outlook and financial estimates and statements as to the expected timing, completion, and effects of the proposed acquisition by Hewlett Packard Enterprise of BlueData, constitute forward-looking statements within the meaning of the safe harbor provisions of the Private Securities Litigation Reform Act of 1995.

These statements are based on various assumptions and the current expectations of the management of Hewlett Packard Enterprise and may not be accurate because of risks and uncertainties surrounding these assumptions and expectations. Factors listed below, as well as other factors, may cause actual results to differ significantly from these forward-looking statements.

Major risks, uncertainties, and assumptions include, but are not limited to: the expected benefits and costs of the transaction; management plans relating to the transaction; the expected timing of the completion of the transaction; statements of the plans, strategies, and objectives of Hewlett Packard Enterprise for future operations, including with respect to artificial intelligence and big data analytics; any statements regarding anticipated operational and financial results; any statements of expectation or belief; and any statements of assumptions underlying any of the foregoing; the risk that disruptions from the transaction will harm Hewlett Packard Enterprise business; the effect of economic, competitive, legal, governmental and technological factors, and other factors described under "Risk Factors" in Hewlett Packard Enterprise's Annual Report on Form 10-K and Quarterly Reports on Form 10-Q.