1:00 PM - 3:00 PM | ![]() ![]() ![]() ![]() Kristi Conlon - L&D Leader and Intel Alumni Jeremy Kenisky - XALTER Steve Patti - XALTER Melody Shulse - Kodiak Gas Services
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3:00 PM - 5:00 PM | A panel discussion unlocking the future of the metaverse. Tune in to hear our industry experts debunking myths, outlining challenges, exploring business opportunities & providing front-line insights on what the next iteration of the internet & XR could look like. In this Deep Dive Session, we’re bringing together experts from across tech and business who all have key roles in building out and seizing opportunities in the industrial metaverse. The panel will look at how front-running companies are creating new ways for businesses and their key stakeholders to engage as the metaverse and broader web 3 technologies take shape. Key areas of discussion will include: • What actually is the metaverse? And what is it not? What tech developments are needed for it to truly succeed? • Who should define the rules of engagement – and where are the biggest risks for early entrants? • Which use cases are most interesting now – and what’s coming next? • Metaverse stakeholders: Who are they? What do they want? • Should industrial companies be going all in – or adopting a wait and see approach? | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
5:00 PM - 6:30 PM |
8:25 AM - 8:30 AM | ![]() | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
8:30 AM - 8:55 AM | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
8:55 AM - 9:30 AM | ![]() ![]() | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
9:30 AM - 10:00 AM | ![]() Digital Twins are commonly used for remote performance monitoring and simulation of equipment performance. Can digital twins also be leveraged for remote inspections? Are there other use cases that are applicable to digital twins? Find out more about successfully using digital twins for remote inspections and more in your mission-critical sites.
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10:00 AM - 10:45 AM | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
10:00 AM - 6:00 PM | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
10:45 AM - 11:30 AM | ![]() ![]() ![]() ![]() Steve Patti - XALTER Melody Shulse - Kodiak Gas Services Clark White - Targa Resources Bob Firth - Oklahoma State University Institute of Technology From VR metaversities to virtual hard skill and soft skill training, VR is coming of age as a mainstream learning medium. Learn how public and private sector partnerships are being created to jointly fund and deploy shared VR learning assets in the classroom and the workplace. Hear from industry leaders as they share how partnerships could accelerate adoption and use by companies competing for Gen Z and Millennial talent. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
11:30 AM - 12:15 PM | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
12:15 PM - 1:45 PM | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
1:45 PM - 2:30 PM | ![]() ![]() How energy/engineering companies are moving to a more visual way of working. Our vision: Our four cornerstone pillars to help accomplish this: Why: Industry Data is moving at exponential speeds and we need new methods to merge, interact, and visualize the data streams in a more humanistic way. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
2:30 PM - 3:00 PM | ![]() ![]() Where does VR fit in a training program? What challenges come with VR training? What tools are needed to make VR training successful? When training in virtual reality, many organizations are excited about the prospect but weary of the investment and application. As with all learning technologies and learning projects, the Blue Stake group at Salt River Project in Phoenix, Arizona, found itself in this category. They had a detailed teaching process that required hands-on training, safety concerns about putting unqualified learners out in the field, and difficulty recreating the activity in a classroom environment. All three of these concerns lead them to explore virtual reality as an alternative to their current approach. In this session, attendees will walk through the process SRP used to develop this virtual reality project from the beginning.
Finally, this session will close with an audience Q&A to discuss any aspect of a VR project, from planning to delivery. Attendees will leave with the information needed to begin planning for their own virtual reality projects. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
3:00 PM - 3:30 PM | ![]() Having utilities personnel well trained and prepared for any energy emergency or outage helps to keep our families safe and warm, our businesses operating and our transportation running. Preventing the outages with more effective training is even better. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
3:30 PM - 3:45 PM | ![]() | In the enterprise space the most common XR use case is real-world analogs for design evaluation and for training. However, XR can also be used to explore abstract concepts. Aviar Technology is building AviarGraph, a dynamic, immersive 3D visualization of network graphs built in Neo4j. In AviarGraph the data scientist analyst fully explores their network graph data, leveraging force-directed graph technology to reveal data topology, measures of centrality, and significance of data nodes and relationships among data elements. Social networks, system integrations, and process flows reveal themselves for clearer understanding and for decision support. Mr. Mireles will discuss specific use cases including test and evaluation flow investigation for the U.S. Air Force as well as risk flow analysis. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
3:45 PM - 4:00 PM |
| ![]() Making sure mobile workers have access to the latest technologies is critical in today’s business environment in order to maximize efficiency. However, Industries with hazardous areas have special requirements for any equipment used at their facilities. In this session you will learn about how smart glasses can solve those challenges with devices designed for use in hazardous environments, including a new wearable the Visor-Ex, and how these mobile technologies and digital solutions can benefit O&G, chemical, pharmaceutical, and other industries that must account for potentially explosive atmospheres. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
4:00 PM - 4:15 PM | Managing and digitizing enterprise procedures, work instructions and inspections at scale. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
4:15 PM - 4:30 PM | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
4:15 PM - 4:35 PM | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
4:30 PM - 6:00 PM |
9:00 AM - 10:00 AM | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
9:00 AM - 2:00 PM | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
10:00 AM - 10:30 AM | ![]() ![]() This amazing session will add a new noun to your vocabulary: holoportation. It's an amalgam of "hologram" and "teleportation," and it isn't a niche sci-fi term buried somewhere in Isaac Asimov novels and Star Trek episodes. In October 2021, NASA used this mind-boggling, futuristic mechanism to bring NASA flight surgeon Dr. Josef Schmid onto the International Space Station while he was safely planted on our planet. No rockets necessary. Schmid was joined on this transdimensional journey by Fernando De La Pena Llaca, the CEO of AEXA Aerospace, an organization that helped develop the holoportation equipment, and a few other team members. "It is a brand new way of human exploration where our human entity is able to travel off the planet," Schmid said in a statement earlier in April. "Our physical body is not there, but our human entity absolutely is there." Learn how this technology is being used today, why it is important for the energy/industrial sector and where it is headed tomorrow. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
10:30 AM - 11:00 AM | How will wireless technologies deliver on the promise of next-gen mobile networks for Industrial, Energy & Engineering Enterprises? The industrial environment and assets demand device interaction at the edge, and this session will discuss how this can be enabled for today’s front line & field service workforce. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
11:00 AM - 11:15 AM | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
11:15 AM - 11:30 AM | ![]() | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
11:30 AM - 11:45 AM | ![]() UVC and VR are increasingly being paired together. The trend began with Covid-19 now has evolved into something much bigger. In a post covid world, will UVC continue to be a part of the VR landscape. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
11:45 AM - 12:00 PM | How are Industrial companies deploying their VR apps to their users with a much lower management overhead and with a very low barrier to user engagement? | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
12:00 PM - 12:30 PM | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
12:30 PM - 1:45 PM | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
1:45 PM - 2:15 PM | ![]() Utilizing the IEEE Experience API (xAPI) Standard for risk mitigation measurement. Recent reports indicate increased organizational appetite and spending in the energy industry in both the areas of operational risk management training and enablement and in extended reality hardware and software, as part of larger automation and digital transformation initiatives. Furthermore, recent advances in immersive technology, along with more dispersed, asynchronous working conditions due to COVID, have resulted in scalable, immersive simulations that more and more closely resemble real world environments. While recent standards have defined JSON syntax appropriate for tracking and measuring human behavior data in generic learning environments (IEEE P9274.1) and in a manner that more closely approximates human behavior in the workplace, as typically tracked in operational risk management systems, no risk-based ontology has yet been defined that more closely crosswalks and correlates data from simulated environment systems to those in operational environments. Thus, the true efficacy of extended reality-based risk mitigation training cannot be fully measured. This presentation will highlight recent innovation in xAPI tracking in operational risk AR/VR scenarios and demonstrate methods for obtaining true ROI in AR/VR deployments at an enterprise level. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
2:15 PM - 2:35 PM | ![]() | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
2:35 PM - 2:50 PM | Reducing time to author and allowing for easy scaling with new innovative BEAM technology, allowing for pdfs to be added to VR training modules instantly.
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2:50 PM - 3:05 PM | ![]() Measuring molecules using AI enabled digital twins which interpret commodity compositions to predict chemical interactions and give probabilities around their outcomes which, when combined with digital twins of engines for fuel applications, allows for calculation of GHG emissions leading to irrefutable netzero achievements written into blockchain for carbon credits. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
3:05 PM - 3:30 PM |