Feature Photo – HV

Hitachi Vantara Helps Navigate in the Data Economy; Expands LUMADA

(L-R)Bobby Soni, Chief Solutions and Services Officer, Hitachi Vantara, Brian Householder, Chief Executive Officer, Hitachi Vantara, Toshiaki Tokunaga, Chairman of the Board, Hitachi Global Digital Holdings, Renne Lahti, Chief Innovation Officer, Hitachi Vantara, Brad Surak, Chief Product and Strategy Officer, Hitachi Vantara, Jonathan Martin, Chief Marketing Officer, Hitachi Vantara

The 21st century IS no doubt the era of the Data Economy and being able to leverage on data is the only way to ‘win’ in this economy.

This was the war cry by Hitachi Vantara’s CEO Brian Householder, giving his keynote address at the NEXT 2019 recently.

However, in addition to data being the driving for all growth, Householder adds that the data company is focused on ‘Powering Good’ for positive changes in businesses and the society – as illustrated in the theme that brought together thousands of participants over a 3-day period Las Vegas’ MGM Grand Hotel.

“The 3 new rules in embracing a data economy; they are New Workloads – data generated from enterprise AI, machine learning and augmented reality,  New Architecture – being data transcending from edge to core to multicloud, and New Approach – being the company’s ‘DataOps’ of methodology to take full advantage of data,” said Householder.

Toshiaki Higashihara, President, Hitachi Vantara sharing his keynote speech at NEXT 2019, Las Vegas

LUMADA Expanded

At the same event, Hitachi Vantara announced the expansion of its signature LUMADA data platform services and solutions portfolio.

In 2017, Hitachi unveiled Lumada commercially worldwide to address the opportunities for innovation made possible by IoT data and technologies. Since then, momentum for Lumada has accelerated, with Hitachi driving nearly $10 billion in revenue from Lumada-based offerings.

The main purpose of LUMADA is to help customers across industries break down data silos and drive more innovation through DataOps – the company’s collaborative data management practice methodology.

Brad Surak, chief product and strategy officer said, “Traditional approaches to managing data aren’t working. Users need more automated, policy-based approaches that enable an adaptable and governed data fabric supply chain across their enterprise.

“Organizations today see the potential for analytics, artificial intelligence (AI), and new digital business models to transform their operations, but their existing data management tools and processes aren’t keeping up.

So we are extending LUMADA’s capabilities beyond the internet of things (IoT) for enterprise and industrial customers to address the data challenges common to customers in any industry and for any use case.”

And how will the new LUMADA do this?

By enabling intelligent data operations (known as ‘DataOps’ at Hitachi Vantara), to help enterprises improve efficiency and drive innovation by getting the right data to the right place at the right time. Some of the updated LUMADA offerings are:

Lumada Data Services, a set of software services that manage complex data ecosystems with an intelligent data foundation. Lumada Data Services allows cost-effective management of data assets (structured and unstructured) across data center, cloud and edge locations. Under Lumada Data Services, the Pentaho 9.0 features new data flow services for data pipeline sharing, management and monitoring. Pentaho can reduce data pipeline friction and provide advanced data discovery, access and integration from edge to cloud.

Lumada Data Lake, an innovative, “smart” data lake offering that is self-optimizing – and which intelligently places data sets in an optimal location – continuously curates to avoid data swamps and is readily accessible to analytics anywhere.

Lumada Edge Intelligence, a new set of software and validated edge hardware devices that enable organizations to manage data and analytics at the network edge for IoT connected products, immersive customer experiences, remote and disconnected sites, and branch offices.