Offshore Workforce Engagement Through Modern Technology & Techniques

Starts: Thu, Jan 23, 2020 11:30 AM CST
Ends: Thu, Jan 23, 2020 12:30 PM CST
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Offshore Workforce Engagement Through Modern Technology & Techniques
With a shrinking pool of available talent and a wave of older workers reaching retirement age, offshore industry needs to adopt innovative strategies for developing the next generation of talent1. Unlike prior generations in today’s workforce, people in their mid-20’s to early 40’s have been immersed in technology and grew up using laptop, computers, smartphones, iPads and all other new gadgets. 

The offshore industry must adapt to changing digital times and highlight its technical depth by asking the right questions to engage the younger generation workforce2. This workforce is very mobile, consuming content, gathering information, and engaging in knowledge-share and communications for longer periods throughout the day via small screen, connected devices. To engage and train younger generations, digital must be an integral component of new operating models and talent strategies. Digitally-enabled asset inspections, subsurface analyses and self-diagnosing wells will transform exploration and production3.

In addition to paper-based or traditional classroom modalities for training and engaging workforce, digital platforms (such as Virtual Reality, Augmented Reality and AI-based training tools), creates more engaging, satisfying work environments and accelerate workforce performance and productivity3,4,5.

With the constraints on workplace productivity and learning, workforce curriculum transformation is as important to the corporate balance sheet as low fixed asset costs. It must “meet the learner” on their terms to successfully transfer important knowledge. From Sales, to Engineering, to Technical Support; even extending from internal to also include external knowledge share… it is all critical!

Key Questions to Consider in Learning
  • Content should be convenient, readily accessible: wherever the staff is located, no matter their device, and no matter the time of day (or night).
  • And more than that, the learning program must engage the user despite the distractions or external claims for their attention.
Who should attend
Professionals in the areas of Learning and Development (L&D), Training, Human Resources, Health, Safety, Environment and Quality (HSQE), Research and Development (R&D), and engineers within the offshore industry.

Join us for a Lunch & Learn as the Sify team discusses and shares new technologies, techniques and knowledge-share through AR, VR, and AI.

Please plan to arrive 15-20 minutes prior to the start of the presentation to complete your registration and grab your lunch.

About the presenters

Indresh Chauhan, VP of Sify eLearning
Indresh leads Sify’s Digital Experiences team in North America. Indresh has over 20 years of experience in the domains of learning, workforce development, & digital experience technologies. A mechanical engineer by training, and an educator by heart, Indresh is committed to helping organizations bridge the “digital divide” between their digital native workforce and existing legacy systems & processes.

Marybeth Burgess, Director of Sales & Business Development, Sify eLearning
Marybeth brings 15 years of experience in connecting organizations with the right tools and training to develop highly effective and engaged programs. This includes introducing new technologies to help enhance learning, sales and development opportunities and experiences. With a background in technology and sales in the private and public sectors and being a fourth-generation Oil & Gas advocate; Marybeth enjoys supporting the advancement and education of STEM to younger generations.

Vijayanandraj. V.R., Ph.D., Senior Manager – AR and VR Solutions at Sify eLearning
Vijayanandraj (Vijay), has 13+ years of experiences in designing and implementing emerging learning technology solutions, for Fortune 500 clients, to solve business problems specifically in HR Operations and Training. Vijay is experienced in facilitating strategic initiatives for clients and is recognized for immensely contributing to innovative thinking and building solutions using Virtual Reality (VR) and Augmented Reality (AR) technologies that are adopted for enhancing employees’ training and performance. With a Ph.D. and being a technophile, Vijay brings in deep analytical skills on hypothesis testing and designing solutions that are strongly data driven. For Fortune 500 clients, Vijay has architected and implemented VR and AR solutions with data analytics to solve challenges associated with workforce hard/soft skills. He has published sizeable number of original research papers in peer-reviewed journals and has written book chapters in Biological Sciences research and is also a founding member of Virtual World Society, a community focused on humanitarian uses of VR. 

Vineeth Veetil, Founder at Reflective AI
Vineeth brings a demonstrated history of leveraging AI & Deep Tech to improve bottom line in various Enterprise verticals. Using real-time computer vision software to measure and improve complex industrial processes, Reflective AI develops software-based perception solutions for robotics, industrial automation and consumer products. Reflective AI works with enterprise partners to help define their automation objective, create specifications and deliver end-to-end solutions that meet their specifications. These solutions work with off-the-shelf chips and sensors and easily integrate into your existing workflow. Vineeth is strong technologist with a Ph.D from University of Michigan, and seen as a computer vision & deep learning expert.

  1. Deloitte. (2013). Oil and Gas Talent Management Powered by Analytics. Deloitte Center for Energy Solutions. Retrieved from
  2. Forbes. 2018. Millennials, Oil and Gas: The "Energy Transition". Baker Institute. Retrieved from
  3. Accenture Strategy. 2017. Oil & Gas Operators: The Talent Well has Run Dry. Retrieved from
  4. Chin-Jung Chao, Sheng-Yu Wu, Yi-Jan Yau, Weng-Yan Feng, and Feng-Yi Tseng. 2017. Effects of three-dimensional virtual reality and traditional training methods on mental workload and training performance. Human Factors and Ergonomics in Manufacturing 27(2). DOI: 10.1002/hfm.20702
  5. Sabrina Romina Sorko and Magdalena Brunnhofer. 2019. Potentials of Augmented Reality in Training. Procedia Manufacturing 31: 85–90.

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January 2020
Event Location

NOV Auditorium

10353 Richmond Avenue
Houston, Texas 77042,

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