Live & Online Conference 28 & 29 January 2025, Houston Tx.
Signed in as:
filler@godaddy.com
Live & Online Conference 28 & 29 January 2025, Houston Tx.
Signed in as:
filler@godaddy.com
Richard Xu, Principal Data Scientist at Woodside Energy, will delve into advanced strategies for optimizing data visualization and creating customizable interfaces that empower users to interact meaningfully with data. His session will focus on how Woodside approaches these technologies, particularly in ramp-up scenarios where rapid decision-making and clear data presentation are essential. Richard will share best practices for designing visualizations that not only improve data accessibility but also drive actionable insights, helping teams make informed, timely decisions. .
Marco Jarrin, Staff I&E Engineer at Murphy Exploration & Production, will join as a panelist to discuss implementing effective strategies for production data collection from sensors. His focus will be on the importance of data quality in AI-based tools, as these technologies are only as effective as the data they rely on. Marco will share practical insights into best practices for consolidating, validating, and cleaning production data from the outset. He will outline methods for filtering and processing data to ensure its integrity and reliability, highlighting how these practices support accurate, actionable insights in AI-driven applications. This session promises to be a valuable exchange on data management approaches that set a strong foundation for successful AI integration.
Sandro serves as the Sales & Marketing Director for SignalFire Telemetry Inc., a Massachusetts-based manufacturer of industrial wireless solutions. Marcus will lead an in-depth session on foundational wireless technologies, covering key protocols and frequencies such as 2.4GHz, 900MHz, LTE-M/NB-IoT, and LoRaWAN. He will explore effective methods for data integration into SCADA systems, whether on-premises or cloud-hosted and share practical strategies for deploying telemetry solutions tailored to specific applications, setting realistic expectations for performance and scalability.
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