BIG DATA, Predictive Analytics and the Industrial Internet of Things Workshop Anheuser-Busch, One Busch Place, St. Louis, MO 63118

Transcription

1 BIG DATA, Predictive Analytics and the Industrial Internet of Things Workshop Anheuser-Busch, One Busch Place, St. Louis, MO Tuesday, July 12 12:00-1:00 Registration and Coffee / Buffet Lunch 1:00 1:15 Welcome & Introduction If you are involved in a BIG DATA, IoT, Analytics or Business Intelligence project this is a must attend event to learn how the PI System can provide the Industrial Operational Data to your preferred Data Warehouse and Analytics Tools. 1:15 2:00 PI Integrator for Business Analytics The PI Integrator for Business Analytics creates seamless integration between the PI System and enterprise data warehouse systems enabling business intelligence and business process integration in a secure and governed manner. Learn about best practices for modeling time series data in your BI tools, recommendations for streamlining process data integration, and common use cases. Finally, see what s new in upcoming releases. 2:00 2:45 Using the PI Integrator for Business Analytics to Operationalize Predictive Analytics with Azure ML - ADM ADM s desire to transform process data to information that was applicable to all levels of the company culminated in the pursuit of an enterprise agreement. ADM is continuing this exciting journey and turning the information into intelligence leveraging PI Integrator for Azure IoT and Microsoft Cortana Analytics services on Azure to operationalize predictive analytics and improve process efficiency. In this session, the speakers will share how ADM is using the PI Integrator for Business Analytics with ADM s AF Templates to cleanse-aggregate-shape-transport (CAST) the PI data and AF context to deliver an Azure Machine Learning ready dataset. Scott Harmeier Process Optimization Manager - ADM Scott Harmeier is the Process Optimization Manager at Archer Daniels Midland (ADM). In this position, he leads a team responsible for applying optimization technology to ADM s various process operations. Scott has been an engineer at ADM for over 15 years working in a variety of process engineering and process control roles. Prior to his current position, Scott was a member of ADM s corporate engineering group where he developed company standards, supported existing facilities, and worked on construction and commissioning of new plants. During the first half of his career, he led the process control group at an ADM corn plant in Clinton, IA focusing primarily on plant modernization. Scott received a bachelor s and master s degree in chemical engineering from the University of Nebraska-Lincoln. He currently resides in Columbus, NE with his family and enjoys woodworking and home brewing.acquisitions. 3:15 4:00 Networking Break / Demonstration Pods 4:00 4:45 Advanced Analytics, Big Data, Cortana Intelligence, Power BI and SQL Server 2016 Through powerful demonstration of advanced analytics capabilities, this session will review the powerful Microsoft family of Business Intelligence, data visualization and analytics tools. It will examine the state of the art Visual Analytics capabilities of Power BI and SQL Server Reporting Services and explore how taking advantage of operational data context events from the PI System using the PI Integrator to provide new insights and operational intelligence to support continuous improvement and innovation. The speaker will use relevant real-world use-cases to explain how OSIsoft PI Integrator helps data scientists for advanced analytics work by reducing the mundane work of data preparation by providing analytics-ready data to Cortana Intelligence, Power BI and SQL Server 2016 platforms. Join us to get inspired by the advanced analytics scenarios enabled by the integration between Cortana Intelligence, Power BI and OSIsoft s PI System. Shawn Nesser - Data Platform Sol Microsoft Shawn Nesser is a Data Platform Architect focused on ABI Globally. He is in 15th year at Microsoft. He has been a SQL Server Consultant, SQL Technical Specialist, BI Technical Specialist and Application Platform Solution Specialist and Manager in his tenure at the company. He is fascinated with PowerBI, Big Data, Predictive Analytics, Cloud Data Systems, MPP Data Warehouses and all things SQL Server He is also a Lieutenant Commander in the US Coast Guard Reserves. Outside of work, he is fascinated with aviation, RC cars and loves to play Legos with his boys. 4:45 PM Reception / Demonstration Pods

2 Wednesday, July 13 8:00 9:00 Breakfast 9:00 9:45 Advanced Analytics with Power BI: doing even more with your PI System data. This session will discuss Microsoft s Power BI and examine the state of the art Visual Analytics capabilities these tools offer and how they can take advantage of operational data from the PI System to deliver new insights and operational intelligence to support continuous improvement and innovation. Curt Hertler Global Solutions Architect - OSIsoft Curt Hertler is a Global Solutions Architect at OSIsoft. Prior to this position, he was Business Development Manager for the Oil and Gas industry. Earlier in his OSIsoft career, he established and managed OSIsoft s Developers Network. Hertler has 19 years in the petroleum refining industry working for Marathon Oil and British Petroleum. While at BP, he served five years on the National Petroleum Refiners Association Computer Applications Committee. He graduated with a BS and MS in Chemical Engineering from the University of Michigan. 9:45 10:30 An Engineering Path to Predictive Analytics Seeq How can you maximize your investments in people, data and information technology to improve business outcomes? Leveraging data to improve yields, quality, safety, and asset utilization is already the norm; now there s the expectation to further improve outcomes using autonomous and predictive approaches. Seeq brings together the OSIsoft PI System, analytics, and the latest information technology to amplify your engineers and subject matter experts and drive improved business outcomes. The key ingredients of predictive analytics have evolved greatly over the years: Engineering talent, skills, and experience. Sensors, data, and data availability. Information technology. Including scale-up and scale-out approaches, sophisticated analytics and visualization. In this presentation Seeq will explore an engineering path to predictive analytics that delivers ROI as part of the journey, not just at the end Jon Peterson Senior VP Products & Customers, Co-founder Seeq Jon s role at Seeq is to create harmony between customer requirements and product development. Jon has over 20 years of experience creating software products for the process manufacturing and energy industries. Previously Jon worked for OSIsoft in software development and leadership roles. 10:30 11:00 Networking Break / Demonstration Networking Break / Demonstration Pods 11:00 11:45 Rockwell s Pavilion The Pavilion business as part of Rockwell s larger data analytics strategy is focused on leveraging our flexible modeling infrastructure toward adaptive learning and decision automation, tools evolved since Pavilion s inception in the 1990 s including leveraging data, manufacturing focused AI and automation to drive business performance. Pavilion will share data qualification and model-based applications in the areas of optimization related to predictive event alerts, equipment dispatch optimization and environmental bubble-cap solutions. Michael Tay Pavilion Product Manager With more than 30 years of experience in the process industries, Tay has helped leading processors consistently improve the performance of their plants. Tay is an expert in the field of MPC and optimization, specializing in model-based advanced control, property estimation and real-time optimization in a broad range of industries. Tay has extensive experience in identifying and deploying innovative solutions for new processing challenges. He has delivered value for leading companies like Cargill, Glacial Lakes Energy, Zilor, BASF and Shell Oil. Tay has participated in more than 100 control applications at global facilities in petrochemical, refining, food processing, biofuels, minerals processing and energy systems, delivering tens of millions of dollars in value annually. 11:45 12:30 Make Data Useful and Work for You - Element Analytics Today, data scientists at your industrial organization are busy wrangling data when data should be proactively providing insight. To help you get the most business value from data, our platform transforms raw data into a consistent form with realworld context, then uses it to provide actionable predictions. 12:30 1:30 Lunch and Demonstration Pods

3 1:30 2:15 Rockwell Automation Mobility Platform, Analytics and Cloud Technologies Kyle Reissner Platform Leader - IA Mobility Rockwell Automation Mike Pantaleno Business Manager Analytics & Cloud Rockwell Automation Kyle is the Mobility Platform leader at Rockwell Automation Inc., he leads a team that is pioneering disruptive software innovations in industrial mobility, notifications and information intelligence owning the company s product focused mobility strategy. He brings 15 years of diverse global leadership, engineering, marketing and product management experience and holds a diploma in engineering. He is passionate about using technology to deliver content to any device a user chooses and is focused on bringing new app based products to market that deliver instant frictionless productivity to every industrial worker. Mike is responsible for developing the Rockwell Automation product strategy for scalable analytics and cloud infrastructure. In addition to setting the strategy, Mike directly manages an agile development team focused on IIoT & device level analytics. His team is working in conjunction with our other software groups, our services teams, and our system architects, to bring about the holistic view of what analytics will mean for Rockwell Automation and their partners. This team is also focused on cloud based software as a service (SaaS) development, including strategy, marketing, and profit & loss projections/management. 2:15 3:00 Driving Intelligence for the Connected World - SAS Manufacturers have historically driven initiatives to improve productivity, reduce costs, and improve quality for decades, with great success. However, yesterday s success it not necessarily good enough to succeed in today s marketplace. The Industrial Internet of Things (IIoT) is helping manufacturers achieve the next level of operational performance. By connecting directly with the OSIsoft PI System and applying advanced analytics to asset data, SAS enables deeper situational awareness of production systems and the environments they operate. In this session, learn how SAS can help organizations sense, understand, and act on data generated during the manufacturing process to resolve material, process, and equipment issues before they negatively affect production operations. Bryan Saunders Principal Industry Consultant SAS Bryan Saunders is a Principal Industry Consultant for SAS Institute s Global IoT Practice. With over 17 years of manufacturing and utilities experience, Bryan helps customers uncover value and drive improved business outcomes from the growing volume of connected devices, with a specialized focus on improving service delivery, asset utilization, equipment reliability and overall product quality. Prior to joining SAS, Bryan worked for the General Electric Company in a variety of roles supporting manufacturing and quality solutions, where he developed deep domain expertise in equipment condition monitoring and reliability, having served as the Data Management and Analytics Engineering Manager for the GE Power & Water business unit, supporting remote service delivery for the electric utility market. 3:00 3:30 Networking Break / Demonstration Networking Break / Demonstration Pods 3:30 PM Anheuser-Busch Bier Garten and VIP Tours

4 Thursday, July 14 8:30 9:00 Breakfast 9:00 9:45 Big Data & Advanced Analytics - Manufacturing next act: Dat-uh Manufacturers are faced with complex challenges to optimize production, improve product development, reduce costs. From an operational perspective, one of the biggest challenges manufacturers face is being left out of the next wave of operational performance and competitive advantages that the IoT will bring. Humera Malik, founder of Dat-uh, will addresses how manufactures can leverage big data and advanced analytics to overcome the constant pressure to continuously improve their operational performance, optimize production, predict maintenance and what steps they can take to achieve higher equipment uptime, lower maintenance costs, and reduced environmental risk. Humera Malik, CEO Dat-uh Humera is the founder and CEO of Dat-uh, where she drives the vision and strategy for changing the way industrial companies think about and use their data. Best known for developing corporate and product strategies to fuel business growth, Humera has been working with companies across the globe from North America and Western Europe to Asia, Middle East and Africa. Humera worked for Cingular, AT&T and Bell Enterprise where she was responsible for defining innovative mobile and wireless productized solutions targeting several key industries Financial Services, Health Care, Retail and Transport. She built several strategic business and technology alliances to generate revenue momentum and streamline solution delivery platforms. She is involved in various industry associations including Ambassador for the Tele-Management Forum, and is also a frequent speaker globally about both technology and Internet of Things ecosystems. She received various recognitions with most recent being a recipient of the 2016 Women of M2M/IoT award. 9:45 10:30 The Industrial Internet of Things - OSIsoft Today s Industrial Internet of Things (IIoT) encompasses advances in sensor technologies, connectivity, analytics and cloud environments that will expand the impact of data on enterprise performance management. Recent market analysis predicts that lowered sensor cost, energy requirements and ease of connectivity will result in an explosion of industrial sensors and sensorbased data. For example, Cisco s Internet Business Solutions Group predicts that by 2020, 50 billion IIoT devices will be deployed and active. Chris Felts Senior Product Manager OSIsoft Responsible for end-to-end product strategy for the Industrial Internet of Things, focusing on data collection, analytics, and storage at the edge and the transfer of this data to cloud based applications. 10:30 11:00 Networking Break 10:30 11:30 Panel Discussion The panel will discuss the topics of this workshop with audience questions. 11:30 11:45 Thank you and Wrap-Up 11:45 12:30 Lunch

5 (Optional) PI System Update workshop Attendees to the BIG DATA, Predictive Analytics and the Industrial Internet of Things Workshop are also welcome to join an optional PI System Overview & update session that will be held Tuesday morning, prior to the forum. This session will be hosted by a senior systems engineer from OSIsoft and will cover the fundamentals of the PI System and is tailored for people that are either new to the PI System, or wishing to update and refresh their knowledge. Please choose select the option to attend this session during your registration for this Workshop. (Optional) PI System Overview & Update, Tuesday, July 12, :00 10:00 Registration 10:00-12:00 PI System Overview & Update * Please note that this agenda is subject to change Hotel Info: Please call and request the Anheuser-Busch Big Data Workshop for rates: HILTON ST. LOUIS AT THE BALLPARK 1 SOUTH BROADWAY, SAINT LOUIS, MISSOURI, 63102, USA TEL: (314)