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2024 Benchmark Study: Optimizing Grid Technologies

Future-Proof Your Training Strategy

Shifting from a reactive training strategy to an adaptive training system helps organizations expand their purpose from building skilled and prepared employees to sustaining an agile and ready workforce capable of adapting to ongoing change confidently and competently.

Pipeline Safety Management Systems (PSMS) Benchmark Refresh

Between 2018 and now, Mosaic has worked with some great companies continuing to develop their PSMS programs. We have grown with them in understanding the benefits, common challenges, and what are becoming commonly adopted best practices. As we reflected on the state of PSMS implementations, we felt the industry was approaching a significant milestone in maturity and believed taking a pulse reading would be helpful.

Competency-based Supervisor Training

These models enable organizations to create impactful training that targets the supervisors’ true job duties, tasks, responsibilities, and daily activities and allows for a consistent training experience for all supervisors.

What Exactly Is ‘XR,’ And Why Should We Care?

Just as we have started to familiarize ourselves with terms like “VR” (virtual reality) and “AR” (augmented reality)—and perhaps even begun the process of exploring and implementing these advanced technologies for training purposes—along comes a new abbreviation to figure out: “XR,” or extended reality.

Navigating the Complexity of Integrating Renewable Energy on the Grid

The grid is evolving at a rapid pace. Across the country, many states are introducing legislation mandating utilities to make a substantial change toward renewable energy.

Three Areas Where ADMS Can Make a Major Impact

The evolution of technology and social norms has dramatically transformed how people access, share, and gain knowledge. The pandemic has only accelerated the reality that organizations must be more agile and must proactively anticipate business and workforce needs.

Embracing the Reality that People Are Now Learning Everywhere

Over the past decade, the evolution of technology and social norms has dramatically transformed how people access, consume, and share knowledge. The pandemic further accelerated this new reality where learning is now happening everywhere.

Electrifying the Future of Training

The evolution of technology and social norms has dramatically transformed how people access, share, and gain knowledge. The pandemic has only accelerated the reality that organizations must be more agile and must proactively anticipate business and workforce needs.

Training Operators for the Future – What’s the Big Deal?

Keeping control room operators aligned with industry innovations is critical. It is not sufficient to onboard new controllers and assume they are ready for the present and the future.

Utilizing 3D Models for Training

The full benefits of 3D models are realized by enabling their deployment using various methods for different audiences and training needs.

Transformational Change Management

Transformational changes are those that require a complete overhaul of strategy, structure, processes, technology, and skills. These transformations require a creative, agile, proactive mindset and a whole system approach to achieve long-term goals.

Utilizing an Operator Training Simulator in Distribution Ops

The one constant that all electric power utilities share is change. One of the most pressing challenges faced by power utilities is maintaining accurate Job Task Analysis (JTA) records and implementing training strategies that ensure personnel stay abreast of these constant changes.

Data-Driven Refresher Training

Refresher training can be an effective and efficient way of ensuring employees maintain competence. Instead, it’s often a jumble of content that doesn’t meet the needs of the employee or the organization.

Job Classification Impacts of Grid Modernization

The one constant that all electric power utilities share is change. ne of the most pressing challenges faced by power utilities is maintaining accurate Job Task Analysis (JTA) records and implementing training strategies that ensure personnel stay abreast of these constant changes.

Structured On-the-Job Training

Structured OJT is an effective and flexible way of ensuring employees develop the right knowledge and skills at the right time.

2020 Digital Transformation Benchmark Study: Executive Summary

Preparing the energy workforce for unprecedented and rapid change.

Managing ADMS Implementations Demands a Strong Training Focus

ADMS adoption is difficult because the criteria used to determine success within power distribution is changing.

Field Operations Training Best Practices

Mosaic surveyed energy companies to discover what works and what doesn’t work as far as field training.

Pipeline Safety Management Benchmark Study, Adoption of API RP 1173

A recently conducted PSMS study offers insight into how gas operators are adopting the recommendations set forth in API RP 1173.

American Gas: Maximize Effective Field Operations Training

A recently conducted field operations study offers insight into how utilities can meet the challenge of building and sustaining a competent workforce.

2018 PSMS API RP 1173 Benchmark: Executive Summary

In July of 2015, the American Petroleum Institute (API) published Recommended Practice (RP) 1173 to address an industry need for Pipeline Safety Management Systems (PSMS).

Redefining the Framework: Utility Training Benchmark Findings

Findings from a recent training benchmark study demonstrate that the industry is facing a significant challenge in developing and sustaining a competent workforce.

North American Oil & Gas Pipelines: Assessing Best Practices in the Energy Industry

In 2017, Mosaic conducted a North American benchmark study to assess field operations training gaps and best practices.

In our line of work,the margin for error is zero.

In our line of work,the margin for error is zero.

In our line of work,the margin for error is zero.

Intricate systems and complex tasks require humans who are prepared.

The more specialized the actions, the higher the risk.

Case Studies

Strategic Partner in Empowering ADMS Transformation

Advising on Enterprise Training Governance

ADMS & Controller Training

Implementing an Advanced Distribution Management System (ADMS)

Corrosion Control Apprentice Training Program

Optimizing a Vegetation Management Assessment Qualification Program for Contractors

Gas Instrumentation & Regulation

Our Thinking

2024 Benchmark Study: Optimizing Grid Technologies

Future-Proof Your Training Strategy

Pipeline Safety Management Systems (PSMS) Benchmark Refresh

Competency-based Supervisor Training

What Exactly Is ‘XR,’ And Why Should We Care?

Navigating the Complexity of Integrating Renewable Energy on the Grid

Three Areas Where ADMS Can Make a Major Impact

Embracing the Reality that People Are Now Learning Everywhere

Electrifying the Future of Training

Training Operators for the Future – What’s the Big Deal?

Utilizing 3D Models for Training

Transformational Change Management

Utilizing an Operator Training Simulator in Distribution Ops

Data-Driven Refresher Training

Job Classification Impacts of Grid Modernization

Structured On-the-Job Training

2020 Digital Transformation Benchmark Study: Executive Summary

Managing ADMS Implementations Demands a Strong Training Focus

Field Operations Training Best Practices

Pipeline Safety Management Benchmark Study, Adoption of API RP 1173

American Gas: Maximize Effective Field Operations Training

2018 PSMS API RP 1173 Benchmark: Executive Summary

Redefining the Framework: Utility Training Benchmark Findings

North American Oil & Gas Pipelines: Assessing Best Practices in the Energy Industry

News

Mosaic Earns Spot on Training Industry’s “2024 Top 20 Learning Services” List

June 13, 2024

Mosaic Makes Training Industry’s 2023 Top Learning Services Companies Watch List!

August 7, 2023

Events

In our line of work,
the margin for error is zero.

In our line of work,
the margin for error is zero.

In our line of work,
the margin for error is zero.