Javier Lagares is a Principal Knowledge Engineer at HP, the place he leads the event of data-driven options for the 3D printing enterprise. With a robust background in knowledge engineering and structure, Javier is enthusiastic about leveraging knowledge to drive enterprise outcomes and enhance buyer expertise.
As firms more and more depend on knowledge 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 knowledge with their prospects that use 3D Printers as a part of their very own manufacturing course of. This knowledge sharing functionality permits HP’s prospects to watch the efficiency and utilization of their leased tools and proactively take enterprise or upkeep actions utilizing knowledge insights. By utilizing Delta Sharing and different Databricks options like Unity Catalog, Mosaic AI and AI/BI dashboards, HP has constructed a safe and scalable resolution that gives complete insights into machine efficiency, materials utilization, and upkeep wants.
Empowering prospects with knowledge
HP is dedicated to offering its prospects with detailed, actionable insights into their tools. This initiative allows prospects to view and analyze their printers’ telemetry knowledge, making it potential to optimize their operations, cut back downtime, and acquire a transparent understanding of useful resource utilization to cut back prices.
Led by Javier Lagares – principal knowledge engineer, HP applied a complete knowledge resolution on the Databricks Knowledge Intelligence Platform. This resolution captures telemetry knowledge from an array of sensors embedded in HP’s tools, and combines it with knowledge 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 remaining 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 accumulate vital data for every processing station, similar to the roles processed and supplies used within the jobs, amongst a number of different knowledge factors. This knowledge primarily types the “DNA” of every printer, permitting HP and its prospects to achieve beneficial insights into your complete print job lifecycle.
Architecting the Resolution with Databricks
HP’s resolution is constructed on Databricks’ medallion structure, which is designed to allow scalable knowledge ingestion, transformation, and sharing; and consists of 4 essential phases:
- Touchdown Layer: The touchdown layer serves as a communication layer with the units. The info on this layer is processed precisely as soon as. If knowledge from this layer just isn’t acknowledged as obtained by HP, a preemptive course of kicks in to cease associated units.
- Bronze Layer: The bronze layer unpacks the knowledge from the touchdown layer into a number of tables for additional consumption.
- Silver Layer: On this stage, the uncooked telemetry knowledge is cleansed, filtered, and reworked for usability. The info 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 provides the curated datasets, that are then shared with HP’s prospects by way of Delta Sharing, enabling them to research and make the most of this high-value knowledge straight.
The medallion structure allows HP to course of and share telemetry knowledge making certain that prospects at all times have up-to-date data at their disposal.
Sharing Knowledge Securely with Delta Sharing
As soon as the telemetry knowledge has been processed, HP shares it with prospects utilizing Databricks’ Delta Sharing open sharing capabilities (D2O). These options enable HP’s prospects to eat the info; no matter whether or not they use Databricks or not. The recipients can straight hook up with shared knowledge utilizing Delta Sharing connectors that assist varied methods like pandas, Tableau, Energy BI, Apache Spark, Rust, or others that assist 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 supplies complete documentation for every knowledge asset, detailing the way to eat the info. HP additionally consists of pattern code that leverages D2O libraries to assist prospects rapidly combine the info into their pipelines, in addition to a pre-built PowerBI dashboard that reads knowledge by means of the Delta Sharing connector and prospects can use if they like to not create their very own visualizations. This stage of assist ensures that HP’s prospects can simply start utilizing and analyzing their telemetry knowledge with none prior experience in Delta Sharing or the underlying knowledge structure.
Predictive Upkeep by means of Mosaic AI
One of the impactful options of HP’s resolution 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 knowledge. These predictive upkeep alerts are offered to HP’s Buyer assist to assist them present a greater buyer expertise by reaching out to prospects to schedule tools servicing making certain their printers stay in optimum working situation.
These machine studying fashions analyze telemetry knowledge patterns, which may point out early indicators of potential points. By offering these alerts, HP enhances buyer satisfaction by permitting prospects to plan forward and cut back interruptions to their manufacturing processes.
Enhanced Knowledge Safety with Unity Catalog and ApiGee
With buyer knowledge privateness and knowledge safety being prime priorities, HP leverages Unity Catalog to implement knowledge governance and apply buyer segmentation. Unity Catalog allows HP to regulate entry to knowledge property at a granular stage, permitting them to segregate knowledge for every buyer and apply customized knowledge entry insurance policies primarily based on particular contract phrases. This dynamic mannequin ensures that every buyer solely has entry to their very own knowledge.
Moreover, HP has applied ApiGee to additional improve knowledge safety. ApiGee acts as a masking layer for all HP inner URLs, making the data-sharing course of 100% clear to prospects. The usage of ApiGee ensures that prospects solely work together with safe endpoints, adhering to HP’s knowledge 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 resolution. These dashboards present metrics on knowledge entry frequency, geographic location, and the variety of customers accessing the info, amongst different fascinating knowledge factors, giving HP’s crew a complete view of how their resolution is definitely used.
This utilization knowledge permits HP to grasp buyer consumption patterns and determine areas for enchancment. For instance, if HP notices a particular characteristic that’s continuously accessed, they could prioritize enhancements to that characteristic in future product iterations. Moreover, the AI/BI dashboards provide insights into geographic developments, enabling HP to tailor their assist and repair choices to satisfy regional buyer wants.
Conclusion
The power to entry and analyze telemetry knowledge in close to real-time is a game-changer for 3D printing. HP’s resolution not solely provides beneficial insights into machine efficiency and the 3D half era course of but in addition allows prospects to take a proactive strategy 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 business.
As HP continues to refine and develop its data-sharing capabilities, they’re a transparent chief in a future the place knowledge 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 knowledge sharing and machine monitoring.