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 powerful background in information engineering and structure, Javier is enthusiastic about leveraging information to drive enterprise outcomes and enhance buyer expertise.
As corporations 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 resolution 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 allows clients to view and analyze their printers’ telemetry information, making it potential to optimize their operations, scale back downtime, and acquire a transparent understanding of useful resource utilization to cut back prices.
Led by Javier Lagares – principal information engineer, HP applied a complete information resolution on the Databricks Knowledge Intelligence Platform. This resolution captures telemetry information from an array of sensors embedded in HP’s tools, and combines it with information from a number of different gadgets 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 components, take away powder, and recycles supplies post-3D printing), curing stations (which harden and stabilize components after printing), amongst others. These sensors gather crucial info for every processing station, reminiscent of the roles processed and supplies used within the jobs, amongst a number of different information factors. This information basically types the “DNA” of every printer, permitting HP and its clients to realize precious insights into the whole print job lifecycle.
Architecting the Answer with Databricks
HP’s resolution is constructed on Databricks’ medallion structure, which is designed to allow scalable information ingestion, transformation, and sharing; and contains 4 predominant levels:
- Touchdown Layer: The touchdown layer serves as a communication layer with the gadgets. The info on this layer is processed precisely as soon as. If information from this layer shouldn’t be acknowledged as obtained by HP, a preemptive course of kicks in to cease associated gadgets.
- 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 info is ready by making use of transformations to take away redundancies, appropriate anomalies, and format it right into a extra usable construction.
- Gold Layer: The Gold layer affords the curated datasets, that are then shared with HP’s clients through Delta Sharing, enabling them to investigate and make the most of this high-value information immediately.
The medallion structure allows HP to course of and share telemetry information guaranteeing that clients all the time have up-to-date info at their disposal.
Sharing Knowledge 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 information; regardless of whether or not they use Databricks or not. The recipients can immediately connect with shared information utilizing Delta Sharing connectors that assist numerous 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 gives complete documentation for every information asset, detailing methods to eat the information. HP additionally contains pattern code that leverages D2O libraries to assist clients rapidly combine the information into their pipelines, in addition to a pre-built PowerBI dashboard that reads information via the Delta Sharing connector and clients can use if they like to not create their very own visualizations. This degree of assist 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 via Mosaic AI
One of the crucial 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 information. These predictive upkeep alerts are offered to HP’s Buyer assist to assist them present a greater buyer expertise by reaching out to clients to schedule tools servicing guaranteeing their printers stay in optimum working situation.
These machine studying fashions analyze telemetry information patterns, which may point out early indicators of potential points. By offering these alerts, HP enhances buyer satisfaction by permitting clients to plan forward and scale back interruptions to their manufacturing processes.
Enhanced Knowledge 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 allows HP to regulate entry to information belongings 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 inside 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 resolution. These dashboards present metrics on information entry frequency, geographic location, and the variety of customers accessing the information, amongst different fascinating information factors, giving HP’s crew a complete view of how their resolution is definitely used.
This utilization information permits HP to know buyer consumption patterns and establish areas for enchancment. For instance, if HP notices a particular characteristic that’s ceaselessly accessed, they could prioritize enhancements to that characteristic in future product iterations. Moreover, the AI/BI dashboards supply insights into geographic tendencies, enabling HP to tailor their assist and repair choices to fulfill 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 resolution not solely affords precious insights into machine efficiency and the 3D half era course of but in addition allows clients to take a proactive strategy to tools upkeep, maximizing the worth of their leased 3D printers. By persevering with to put money into 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 broaden its data-sharing capabilities, they’re a transparent chief in a future the place information insights turn out to be integral to industrial processes and buyer engagement. With every new enhancement, HP demonstrates its dedication to leveraging know-how for buyer empowerment, setting a excessive bar for information sharing and machine monitoring.
