July 17-19 | Tokyo, Japan
View More Details  & Register Here

Sign up or log in to bookmark your favorites and sync them to your phone or calendar.

Artificial Intelligence [clear filter]
Wednesday, July 17


Building Telemetry and Anomaly Detection Models for Cloud Native Storage - Xing Yang, Futurewei & Seiya Takei, Yahoo Japan Corporation
Integrating with heterogeneous storage in the Cloud Native environment has always been a challenge. How to detect problems and fix them in a timely fashion is important for mission critical workloads.

In this session, Takei-san and Xing will describe a common volume metrics model designed to retrieve data from heterogeneous storage in the Cloud Native environment. They will also illustrate a ML module that analyzes the data to detect anomaly, and discuss how it helps Yahoo Japan identify problems early to keep the storage systems healthy.

Volume metrics such as IOPs, bandwidth, latency, and capacity are generated from storage backends serving workloads running on Kubernetes, and collected by the Prometheus server. Data is also piped through Kafka, parsed and saved in MongoDB. The ML module retrieves data to train the models, chooses the best model to detect anomalous data points.


Seiya Takei

Storage Engineer, Yahoo Japan Corporation
Seiya Takei is in charge of private cloud compute and storage at Yahoo Japan. Yahoo Japan has been participated in the End-User Advisory Committee of OpenSDS, an open source project under Linux Foundation, since July 2017. Seiya Takei has speaking experiences at local conferences... Read More →
avatar for Xing Yang

Xing Yang

Tech Lead, VMware
Xing Yang is a Tech Lead in the Cloud Native Storage team at VMware. She is a co-chair of the Kubernetes Storage SIG, a co-lead of the Data Protection WG, and a maintainer in Kubernetes CSI. She is also a Tech Lead in the CNCF Storage SIG. Before joining VMware, Xing was the Lead... Read More →

Wednesday July 17, 2019 13:30 - 14:10
Hall B (3) (Floor 4F)
  • Experience Level Any


Trusted AI - Patricia Ferreiro, IBM
Artificial Intelligence plays an increasingly significant role in our life. It is enabling humans to reach what was once regarded as pure sci-fi, deeply impacting all areas of development. AI systems are starting to make autonomous decisions on crucial and sensitive topics, such as self-driving cars or medical diagnosis. However, in order to use and accept them, people must be able to trust them. Such trust is built on four pillars: fairness, explainability, robustness against malicious attacks and accountability. This talk will present the challenges around the next revolution in AI: trustworthy machines.

avatar for Patricia Ferreiro

Patricia Ferreiro

Big Data and Analytics Architect, IBM
Even though Patricia's main interests are Big Data and Analytics she also enjoys learning about automation and DevOps culture. Her positions have ranged from Data Scientist to DevOps and she is currently pursuing a M.Sc. in Data Science while collaborating in Deep Learning research... Read More →

Wednesday July 17, 2019 14:20 - 15:00
Hall B (3) (Floor 4F)


Machine Learning Lifecycle Management with Acumos AI Platform Across Multiple Environments - Soichi Takashige & Yusuke Furuyama, Hitachi
Acumos AI is a platform and open source framework that makes it easy to build, share, and deploy AI apps. We evaluated the Acumos AI, to see whether it can manage the lifecycle of machine learning (ML) subsystem which is developed within the private environment by data scientists and is deployed to edge or on-premise environment by system integrators.

Requirements for management functions for ML systems on the edge or on-premise environments differ slightly from those of the public cloud. One model may run on several non-cloud environments. Every subsystem must be managed by local management systems on their sites and monitored information should be delivered back to data scientists in the remote sites.
We confirmed that Acumos AI covers some important concepts to manage ML models which is developed and deployed in separate environments. But at the same time, we'd like to have some more flexibility to customize functionality to fit our own environment.


Soichi Takashige

Researcher, Platform & System Management, Hitachi
Soichi Takashige is a Researcher of Platform and System Management at Hitachi. He has 15 years experience in software, including hypervisors and infrastructure management such as  OpenStack. Currently, He is focusing on the study on lifecycle management platform for AI or machine... Read More →

Yusuke Furuyama

Solution Engineer, Hitachi
Yusuke Furuyama is a solution engineer at Hitachi and responsible for leveraging OSS related to bigdata and AI and working on offering progressive bigdata solutions to customers who are going to build enterprise system. Currently, he is focusing on Python and Python libraries for... Read More →

Wednesday July 17, 2019 15:10 - 15:50
Hall B (3) (Floor 4F)


Apache Spark and Apache Ignite: Where Fast Data Meets the IoT - Stephen Leung, GridGain Systems
It is not enough to build a mesh of sensors or embedded devices to obtain more insights about the surrounding environment and optimize your production systems. Usually, your IoT solution needs to be capable of transferring enormous amounts of data to storage or the cloud where the data have to be processed further. Quite often, the processing of the endless streams of data has to be done in real-time so that you can react on the IoT subsystem's state accordingly.

This session will show attendees how to build a Fast Data solution that will receive endless streams from the IoT side and will be capable of processing the streams in real-time using Apache Ignite's cluster resources.

In particular, attendees will learn about data streaming to an Apache Ignite cluster from embedded devices and real-time data processing with Apache Spark.

avatar for Stephen Leung

Stephen Leung

Director of Solution Architect, Asia Pacific, GridGain Systems
Stephen Leung is Director of Solution Architect in Asia Pacific and Japan region at GridGain Systems. He has extensive experience in large, complex IT infrastructure and information management environments, having led and business development the low-latency distributed system and... Read More →

Wednesday July 17, 2019 16:20 - 17:00
Hall B (3) (Floor 4F)
  • Experience Level Any