OSIsoft Japan IIoT Conference 2019 Nagoya

~EMPOWER YOUR ANALYTICS WITH OPERATIONS DATA~を開催します

日時:2019年10月31日(金)8:00~受付開始 9:00セッション開始

会場:東京コンファレンスセンター品川5F 大ホール

近年、産業界で多大な注目を集めているIIoTにおいて、弊社PI Systemが多くのユーザー様でどのように導入・活用されIIoT実現に貢献しているかを、ユーザー様による事例紹介を中心としたプレゼンテーションを通してご理解いただくためのセミナーを企画いたしました。 また、弊社ではIIoT に寄与する 新しいモジュール『アナリティクス』について紹介させていただきます。『アナリティクス』はPI Dataから得られるビジネスデータに適用して、データ内の意味のあるパターンを発見、解釈、伝達し、それらのパターンを効果的な 意思決定に適用することで、ビジネスパフォーマンスを記述、 予測並びに改善することを可能にし、有効に可視化する機能を有しています。本セミナーでは、  弊社のエクスパートからこの『アナリティクス』に関しご説明させていただくとともに、デモブースで画面を実際にご覧いただく機会を設けております。つきましては、 是非ご参加いただきますようお願い申し上げます。本カンファレンスは抽選式です。お申込後、開催日1週間前までに、当選のご連絡をメールで行います。当日は当選のメールの印刷、もしくはスマホ画面等を受付にてご提示ください。できるだけ多くのエンドユーザー様、ご検討のお客様にお越しいただくため、競合と判断される方、一社からの多くのお申込等お断りすることがございます。ご了承くださいますようお願いいたします。

開催日まであと・・・

セッションスケジュール

Thursday, October 31, 2019
8:00 AM - 9:00 AM
受付開始
9:00 AM - 9:10 AM
開催のご挨拶
9:10 AM - 9:40 AM
Keynote: The PI System: Empowering People to do Successful Analytics
Today, analytics is promising to deliver new efficiencies within industrial operations. To maximize the value of industrial analytics, you need a strategic approach that addresses edge, enterprise and cloud tools for operations data while minimizing delays and failures from data inaccessibility, intensive data processing, and poor data quality. A successful industrial analytics strategy requires a data infrastructure approach that fosters trust and is optimized for enterprise-wide operational analytics.
This overview session introduces the latest trends within industrial analytics, highlights best practices for success, and shows how the OSIsoft PI System, edge, and cloud technology support different types of analytics for varying audiences – from engineers and managers to data scientists within IT and OT groups.
9:40 AM - 10:10 AM
《カスタマーセッション1》
10:10 AM - 10:40 AM
Your People Are the Key to Successful Analytics

To take advantage of operational data across the enterprise, you need to enable more people to consume the data: maintenance engineers, general managers, data scientists, and executives. From real-time access and exploration to operational reporting and analytics, users have different data, technology, and application needs. Managers need to know if targets are being achieved. Analysts need operational data integrated with business data. Data scientists need a cleaned operational data set to train machine learning algorithms for predictive capabilities. But raw operational data can be hard to understand, difficult to access in real time, and hard to consume without extensive processing, which leads to trust and quality issues. In this session, we’ll demonstrate how the capabilities of the PI System can be used to gather, structure, process and deliver the analytics needs of different audiences throughout the enterprise, ensuring that any person can access, understand, and trust the data.

10:40 AM - 11:00 AM
ご休憩
11:00 AM - 11:30 AM
Visual Data Analytics for Industrial Operations: Finding the best BI and PI System tools

Many of today’s visual analytics tools have been created for business and financial applications and users. Operations managers and engineers need analytics tools specifically designed for industrial operations, which can deliver real-time insights into process and equipment performance. In this session, we'll explore visualization approaches and discover the options best suited for your operations and business needs. We’ll demonstrate how industrial engineers can easily build operational views with PI Vision, use tools like PI DataLink for ad hoc data exploration in Excel, and leverage Power BI from Microsoft for reporting business and operations data together – all with minimal technical skills.

11:30 AM - 12:00 PM
Best Practices for Supporting Enterprise Analytics with IT Groups
Enterprise analytics involves data from a complex environment of systems, devices, networks, and departments that span operation technology (OT) and business IT groups.  IT groups are rapidly investing in new edge, cloud and analytics technologies: new sensors, edge devices, Microsoft, AWS, and SAP analytics tools, and open source data lakes in the cloud. The result is an even more complex ecosystem of existing and new sources of data and technology that spans IT and OT, all while requiring utmost security.
This session focuses on the best practices for leveraging existing and new sources of data from both OT and IT investments.  Learn how a data infrastructure approach can securely enable OT and IT to share and deliver analytics-ready data for both operational analytics and enterprise analytics.  We’ll demonstrate how the PI System can enable enterprise agility to adopt new technologies and analytics methods that leverage edge, cloud, machine learning and artificial intelligence.
12:00 PM - 12:30 PM
Delivering high quality operational data for Advanced Analytics
Advanced analytics tools and platforms allow businesses to ask more from their operational data and obtain new insights.  Yet 60% of Big Data projects fail. Simply ingesting raw operational data into your favorite business intelligence tool or data lake creates significant challenges and barriers to success. Problems with data access, data quality, data structure, and outputs from “black boxes” typically lead to unreliable conclusions or predictive algorithms that are never adopted.
In this session, we’ll cover the challenges of using new analytics tools with operational data; share how the PI System and the PI Integrators deliver analytics-ready data; show how subject matter experts in operations can easily curate data that can be understood by business and IT operations; and demonstrate how the 3rd party advanced analytics tools from Amazon, SAP, and Microsoft, can consume the data for trusted and quality analytics.
12:30 PM - 1:30 PM
ランチブレイク
1:30 PM - 2:15 PM
Enabling Enterprise Analytics for IT Groups Needing Operations Data
Optimizing the value of your critical operations data means going beyond your operations teams. Sharing the operations data with your IT team enables business data to be combined with operations data for added insights, and advanced analytics projects to deliver insights not possible before. To gain value from these enterprise analytics projects it’s imperative these insights are transferred back into the operations environment and the tools used every data by operators and process engineers. 
In this session we explore key challenges for supporting IT with advanced analytics projects and how the PI System is best utilized to streamline IT enterprise analytics projects, and importantly transfer insights back into operations to drive efficiencies. 
2:15 PM - 3:15 PM
Using PI System and Data Science to Optimize Energy At OSIsoft HQ (Advanced Users)
Key to successful analytics projects is carry out essential pre-cursor steps prior to analytics. Identifying the business need, the data required and preparing the data prior to modeling. Having modelled the business problem iteratively learning from insights to implement and re-analyze the model to drive further optimization. 
In this session we will show how OSIsoft has used its own PI System and analytics tools together to improve energy utilization in its Head Quarters. The audience will learn how OSIsoft data scientists formed and tackled a real world problem.  The session will discuss the PI System in connection with open source technologies such as R and Python that can be used to extend the role of the PI System within Industrial operations. Expert knowledge of data science or the PI System is not required.
3:15 PM - 4:00 PM
閉会のご挨拶

会場

東京カンファレンスセンター品川
 
〒108-0075
東京都港区港南1丁目9-36 アレア品川 5F 大ホール
 
電車でのアクセス
JR品川駅港南口(東口)より徒歩2分
羽田空港国内線ターミナル駅から京浜急行で最速14分
(エアポート快特利用)
成田空港から成田エキスプレスで直通70分
 
 

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