Hitachi Vantara strengthens Lumada portfolio

Hitachi Vantara has introduced Lumada Maintenance Insights solutions that will expand the Lumada portfolio. These data-driven, artificial intelligence (AI)-based internet-of-things (IoT) solutions use highly accurate, prescriptive and predictive algorithms that help customers anticipate breakdowns and guide them on necessary maintenance repairs, improving operations and avoiding equipment downtime. The enhancements help enterprises deliver business outcomes by maximizing the power of data no matter where it resides from the data center to the cloud and out to the edge and move them forward in today's digital, data-driven business landscape.

 

"Our clients who are entering the world of IoT tell us they require new, more flexible architectures that can unlock the value of the vast amounts of data created by devices at the edge," said Christian Renaud, research vice president, Internet of Things, 451 Research. "Hitachi Vantara is taking a strategic approach to deliver solutions that meet these new requirements."

 

The new Lumada Maintenance Insights solutions from Hitachi are ideal for the transportation, manufacturing and energy industries, which all rely on complex equipment in environments where unplanned downtime can have significant cost and safety implications. Customers spend an estimated $37 billion on competitive offerings that stitch together disparate software products for planning, preparing, repairing and invoicing maintenance and repair activities. Lumada Maintenance Insights solutions, however, deliver a seamless, integrated approach for all levels of personnel involved in maintenance and repair organizations from repair technicians and maintenance managers up to heads of operations and line of business leads.

 

Common customer pain points addressed by Lumada Maintenance Insights solutions include:

 

• Equipment downtime: unplanned outages that impact key operating metrics.
• First-time fix failures: higher costs for rework and lost production.
• Excess parts inventory: wrong parts in the wrong places at the wrong times.
• Low customer satisfaction: a decrease in maintenance contract renewal rates.

 

Lumada Maintenance Insights incorporates machine learning models that can be rapidly customized for specific assets and operational workflows. The solutions use data analytics to understand equipment health with live and historical repair data, then analyze this data to recommend which maintenance or repair actions should be taken and when to execute them. The solutions also track and prepare repair recommendations, maintenance schedule optimization, parts supply optimization and maintenance effectiveness.

 

As customers prepare for the architectural disruption that IoT drives across many industries, they need complete, end-to-end solutions that provide strategic business value. The systems they choose need to provide flexibility in edge-to-cloud deployment models as new demands for edge data management and governance emerge. Hitachi's Lumada provides modular platform technologies, applications and professional services expertise that help organizations to adopt IoT with confidence.

 

"The emergence of IoT in the industrial landscape has introduced new challenges for customers as they work to stay competitive," said Brad Surak, chief product and strategy officer for Hitachi Vantara. "Hitachi's combined expertise in both operational and information technologies is unmatched in the industry and lays a strong foundation for developing solutions to meet these new challenges. We are excited for Lumada Maintenance Insights as a next step forward in helping customers maximize how their data is used to drive business value."