As part of SAP’s activities surrounding Cloud Foundry, members of the ICSV (Innovation Center Silicon Valley) presented two (of the 17) sessions at the recent Cloud Foundry Summit (June 13-15, 2017 in Santa Clara, California).
First up was TrueRec, a mobile application that benefits both job applicants and hiring managers. It significantly improves the task of sharing and verifying an applicant’s credentials during the hiring process, leveraging Blockchain technology.
TrueRec allows users to maintain sole ownership of their information, easily prove the legitimacy of their verified credentials, collect them in one central location, and securely share them with anyone. The Blockchain provides an undisputable, distributed public ledger, that maintains a list of time-stamped, verified transactions.
(From left to right: Mario Ponce,Senior Architect, Michael Kunzmann, Lead Platform Engineer, Nethaji Tummuru, Director of Product development at the Cloud Foundry Summit)
TrueRec by SAP is only the first step to unlocking the full potential of Blockchain and the ICSV is excited to continue pushing the boundaries of this groundbreaking technology.
On the deep learning front, ICSV members used the opportunity to highlight Computer Vision product.
At SAP, engineers are leveraging the cloud foundry platform and are using it to work on the SAP Machine Learning platform.
“As a data scientist, I can train my model and deploy it as a service on this platform. And this machine learning service can be consumed by the Cloud Foundry application through REST API or RPC,” one developer explained. “When developing applications, we use various services provided by Cloud Foundry, such as SAP HANA DB, User Authentication, logging and so on.”
Developers love Cloud Foundry, and it’s not hard to see why. As an open-source platform-as-a-service (PaaS), the Cloud Foundry Foundation’s mission is to “provide a vibrant, agile experience for the community’s contributors that delivers the highest quality cloud-native applications and software, at high velocity with global scale.”
“On top of these fundamental services, as we are developing ML applications, we find that scalability and security are very important. So, for scalability, we used multiple worker apps to handle Machine Learning jobs in parallel. And whenever these workers communicate with external GPU machine, it should use security module so that we can secure the channels to Deep learning models,” he explains further.
The annual conference hosted a range of speakers from Microsoft, SAP, IBM, various startups and Ford among others.