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Register for the Webinar at: https://onlinexperiences.com/Launch/QReg/ShowKey=48750 The Internet of Things (IoT) is transforming all sectors of the economy, with some of the greatest impact in industries such as manufacturing, energy and transportation. IoT is especially well suited to the unique challenges faced by industrial operations such as the control of remotely distributed assets and the monitoring requirements found on manufacturing floors and within processing plants. When committing to IoT, early challenges are how to collect and analyze data from a unique and diverse set of assets, and how to secure and manage those devices at scale. This requires the expertise, tools and best practices of both Operational Technology (OT) and Information Technology (IT) departments. In this webinar, VMware Inc., a global leader in enterprise IT, and ADLINK Technology, a global leader in integrated IoT solutions, will discuss the five keys to successful industrial IoT initiatives. Join the discussion to learn more about: * Why a healthy OT-IT marriage is necessary for IoT success * How to release real-time data from siloed assets * Best practices to get the highest value from operational data in IoT * A framework for a successful IoT architecture designed with security, management and scale * Essential industrial IoT uses cases such as asset tracking/monitoring and predictive maintenance Webinar presenters: Mimi Spier - Vice President and head of the Internet of Things Business at VMware. Rob Risany - Executive Vice President of ADLINK's IoT Solutions and Technology Division.
Register for the Webcasts at: http://www.prismtech.com/webcast-signup Why Attend: * Understand the essence of the Data Distribution Service (DDS) * Learn how to effectively architect and program DDS-based distributed systems * Understand how to characterize DDS performance and configure for optimal latency/throughput * Learn how to grow your system to Internet scale and secure your DDS system Abstract: Introduced in 2004, the Data Distribution Service (DDS) has been steadily growing in popularity and adoption. Today, DDS is at the heart of a large number of mission and business critical systems, such as, Air Traffic Control and Management, Train Control Systems, Energy Production Systems, Medical Devices, Autonomous Vehicles, and Smart Cities. Considering the technological trends towards data-centricity and the rate of adoption, tomorrow, DDS will be at the heart of an incredible number of Industrial IoT (IIoT) systems. To help you become an expert in DDS and exploit your skills in the growing DDS market, we have designed the DDS in Action webcast series. This series is a learning journey through which you will (1) discover the essence of DDS, (2) understand how to effectively exploit DDS to architect and program distributed applications that perform and scale, (3) learn the key DDS programming idioms and architectural patterns, (4) understand how to characterize DDS performance and configure for optimal latency/throughput, (5) grow your system to Internet scale, and (6) secure you DDS system. Webcast Presenter: Angelo Corsaro, Ph.D. is Chief Technology Officer (CTO) at ADLINK Technology Inc. As CTO he looks after technology strategy and innovation for ADLINK’s Industrial Internet of Things (IIoT) Platform. Angelo also serves as PrismTech (an ADLINK company) CTO, where he looks after technology strategy and innovation for PrismTech's Vortex IIoT data sharing platform. Angelo leads the strategic standardization at the Object Management Group (OMG), where he co-chairs the Data Distribution Service (DDS) Special Interest Group. Before joining PrismTech, Angelo was working as a Scientist at the SELEX-SI and FINMECCANICA Technology Directorate. There, he was responsible for the corporate middleware strategy, for strategic standardization, and R&D collaborations with top Universities. Angelo is a well-known and cited expert in the area of high performance and large scale distributed systems with 100s of publications for referred journal, conferences, workshops, and magazines. Angelo received a Ph.D. and a M.S. in Computer Science from the Washington University in St. Louis, and a Laurea Magna cum Laude in Computer Engineering from the University of Catania, Italy.