Javier Lagares is a Principal Information Engineer at HP, the place he leads the event of data-driven options for the 3D printing enterprise. With a robust background in information engineering and structure, Javier is obsessed with leveraging information to drive enterprise outcomes and enhance buyer expertise.
As firms more and more depend on information to drive decision-making throughout all industries, HP’s 3D Print division is main the cost with a transformative initiative: sharing close to real-time tools telemetry information with their clients that use 3D Printers as a part of their very own manufacturing course of. This information sharing functionality permits HP’s clients to watch the efficiency and utilization of their leased tools and proactively take enterprise or upkeep actions utilizing information insights. By utilizing Delta Sharing and different Databricks options like Unity Catalog, Mosiac AI and AI/BI dashboards, HP has constructed a safe and scalable answer that gives complete insights into machine efficiency, materials utilization, and upkeep wants.
Empowering clients with information
HP is dedicated to offering its clients with detailed, actionable insights into their tools. This initiative permits clients to view and analyze their printers’ telemetry information, making it potential to optimize their operations, cut back downtime, and acquire a transparent understanding of useful resource utilization to scale back prices.
Led by Javier Lagares – principal information engineer, HP applied a complete information answer on the Databricks Information Intelligence Platform. This answer captures telemetry information from an array of sensors embedded in HP’s tools, and combines it with information from a number of different units together with not solely printers, but in addition processing stations (which deal with duties that put together a 3D printed object for its last use), unpacking stations (which unpack elements, take away powder, and recycles supplies post-3D printing), curing stations (which harden and stabilize elements after printing), amongst others. These sensors gather crucial info for every processing station, comparable to the roles processed and supplies used within the jobs, amongst a number of different information factors. This information primarily kinds the “DNA” of every printer, permitting HP and its clients to realize useful insights into your complete print job lifecycle.
Architecting the Answer with Databricks
HP’s answer is constructed on Databricks’ medallion structure, which is designed to allow scalable information ingestion, transformation, and sharing; and consists of 4 principal levels:
- Touchdown Layer: The touchdown layer serves as a communication layer with the units. The information on this layer is processed precisely as soon as. If information from this layer will not be acknowledged as obtained by HP, a preemptive course of kicks in to cease associated units.
- Bronze Layer: The bronze layer unpacks the data from the touchdown layer into a number of tables for additional consumption.
- Silver Layer: On this stage, the uncooked telemetry information is cleansed, filtered, and remodeled for usability. The information is ready by making use of transformations to take away redundancies, right anomalies, and format it right into a extra usable construction.
- Gold Layer: The Gold layer gives the curated datasets, that are then shared with HP’s clients by way of Delta Sharing, enabling them to research and make the most of this high-value information immediately.
The medallion structure permits HP to course of and share telemetry information making certain that clients at all times have up-to-date info at their disposal.
Sharing Information Securely with Delta Sharing
As soon as the telemetry information has been processed, HP shares it with clients utilizing Databricks’ Delta Sharing open sharing capabilities (D2O). These options enable HP’s clients to eat the info; regardless of whether or not they use Databricks or not. The recipients can immediately connect with shared information utilizing Delta Sharing connectors that help numerous techniques like pandas, Tableau, Energy BI, Apache Spark, Rust, or others that help the open protocol. When a buyer is registered, they obtain an HP endpoint, which they’ll use to entry datasets utilizing any Delta Sharing connectors or APIs.
To make the method seamless for patrons, HP offers complete documentation for every information asset, detailing easy methods to eat the info. HP additionally consists of pattern code that leverages D2O libraries to assist clients rapidly combine the info into their pipelines, in addition to a pre-built PowerBI dashboard that reads information by means of the Delta Sharing connector and clients can use if they like to not create their very own visualizations. This degree of help ensures that HP’s clients can simply start utilizing and analyzing their telemetry information with none prior experience in Delta Sharing or the underlying information structure.
Predictive Upkeep by means of Mosaic AI
Some of the impactful options of HP’s answer is the inclusion of predictive upkeep alerts. Utilizing machine studying fashions that leverage Mosaic AI capabilities, HP can precisely predict upkeep wants primarily based on telemetry information. These predictive upkeep alerts are offered to HP’s Buyer help to assist them present a greater buyer expertise by reaching out to clients to schedule tools servicing making certain their printers stay in optimum working situation.
These machine studying fashions analyze telemetry information patterns, which might point out early indicators of potential points. By offering these alerts, HP enhances buyer satisfaction by permitting clients to plan forward and cut back interruptions to their manufacturing processes.
Enhanced Information Safety with Unity Catalog and ApiGee
With buyer information privateness and information safety being high priorities, HP leverages Unity Catalog to implement information governance and apply buyer segmentation. Unity Catalog permits HP to regulate entry to information property at a granular degree, permitting them to segregate information for every buyer and apply customized information entry insurance policies primarily based on particular contract phrases. This dynamic mannequin ensures that every buyer solely has entry to their very own information.
Moreover, HP has applied ApiGee to additional improve information safety. ApiGee acts as a masking layer for all HP inner URLs, making the data-sharing course of 100% clear to clients. Using ApiGee ensures that clients solely work together with safe endpoints, adhering to HP’s information safety framework.
Monitoring and Enhancing Buyer Expertise with AI/BI Dashboards
HP additionally leverages Databricks AI/BI dashboards to watch the utilization of its telemetry answer. These dashboards present metrics on information entry frequency, geographic location, and the variety of customers accessing the info, amongst different fascinating information factors, giving HP’s crew a complete view of how their answer is definitely used.
This utilization information permits HP to grasp buyer consumption patterns and determine areas for enchancment. For instance, if HP notices a selected function that’s regularly accessed, they may prioritize enhancements to that function in future product iterations. Moreover, the AI/BI dashboards provide insights into geographic tendencies, enabling HP to tailor their help and repair choices to satisfy regional buyer wants.
Conclusion
The flexibility to entry and analyze telemetry information in close to real-time is a game-changer for 3D printing. HP’s answer not solely gives useful insights into machine efficiency and the 3D half era course of but in addition permits clients to take a proactive method to tools upkeep, maximizing the worth of their leased 3D printers. By persevering with to spend money on superior data-sharing applied sciences, HP is setting the usual for data-driven innovation within the 3D printing trade.
As HP continues to refine and develop its data-sharing capabilities, they’re a transparent chief in a future the place information insights turn into integral to industrial processes and buyer engagement. With every new enhancement, HP demonstrates its dedication to leveraging expertise for buyer empowerment, setting a excessive bar for information sharing and machine monitoring.
