Best Practices to Get Started with A Virtual Reality Training Program
Virtual reality training offers employees exciting ways to learn business processes and new skills. Professional skills and complex business processes are learned faster and more effectively by giving workers a chance to practice different training/learning activities in a virtual environment that is safe and immersive as well. This also helps improve retention of learning and workplace productivity. Virtual reality training programs are cost-effective too.
If whether you are a business owner and manager, here are some best practices you can consider to get started with a virtual reality program to get the most out of your training activities.
Benefits Of a Virtual Reality Training Program
Safe Learning Environment
In VR training, employees interact with virtual scenes and environments. Hazards & workplace accidents are reduced to a great extent. This helps organizations make training-related decisions that don’t affect equipment, employees, and customers.
Exciting and Engaging Training Activities
Advanced VR training activities engage learners by catching their attention via exciting learning activities. This not only keeps them engaged in training but also leads to higher skill retention rates.
Realistic Technical Skills Practice
VR is capable of creating any type of real-time equipment, product, or environment to allow learners to practice training activities with simulated objects and environments that appear to be genuine. However, a business may need to hire a renowned VR agency to get custom VR training solutions designed as per their individual training needs and requirements.
Best Practices to Get Started with Virtual Reality Training
Let’s discuss the best practices for businesses and organizations looking to incorporate VR training into their training programs.
Set Your Business Goals Early On
Evaluating your short- and long-term business goals is an integral aspect when it comes to considering a VR training program at your workplace. Evaluating goals and needs that are specific to your business will help your business achieve:
• Recognize the root causes of business operational issues
• Setting up the foundation for implementing VR training as an apt solution
• Establish metrics to measure VR training success
If the business goals you set early on don’t align with the virtual reality training solutions, you should consider a different approach to evaluate goals.
Involve Employees as Much as Possible
Your workers are a valuable asset to your business. This is the reason, it is very much important to involve them before, during, and after VR training. Sending them surveys that determine whether or not they would be comfortable with the virtual training program you are about to implement. You can ask them questions like:
• Are you okay with wearing VR headsets?
• Do you have any recent experience with VR training?
This will help employees involved in the development and implementation of a successful VR training program.
Invest in VR Equipment and Technology That Align with Your Business Budget
When it comes to implementing a new training program, it is important to set a budget plan early on to make deployment easier and effective. Try to get custom VR equipment and solutions as they will boost your organization’s ROI and make training activities more productive.
Research Multiple VR Agencies
Unless your business has an in-house team, you will need to outsource your VR training program-related things like digital devices, software, and video production, etc. Outsourcing VR training gives you a chance to work with highly skilled professionals with a quick turnaround time. This is where you need to hire a reputable VR agency to meet the VR training needs of your organization. Experts suggest researching multiple VR agencies to find out the high-quality services at affordable prices. When searching VR agencies, you should:
• Check out each agency’s portfolio
• Get a quote in advance
• Find out what VR services/devices they offer
• Find client reviews and ratings
Finding the best VR agency for your training program is very much important to your program’s success.
Combine Virtual Reality with Existing Training
Instead of using VR training as a standalone approach, you should incorporate VR training into an existing training program. A variety of VR solutions are available that helps businesses combine VR with other training modules to put employee training into practice and leverage key learning objectives. Combining VR training with existing training allows employees to learn skills and business processes more effectively than ever before.
Tap into the Power of Technology to Enhance Employee Training
In this continuously changing landscape, businesses must adapt to survive and thrive. And upskilling and improving employees is one of the best ways to do that. As more and more businesses are moving to remote working, helping workers hone skills they need is becoming more difficult. The advanced technology has made remote workplaces improve employee training easier than ever before. Modern technologies like skills assessment, virtual reality training, learning management systems and AI provide business owners and managers with more opportunities to streamline training programs effectively.
Technology to Enhance Employee Training
Below are some ways businesses can tap into the power of technology to enhance employee training for increased efficiency and productivity.
Learning management systems (LMS)
A learning management system is one of the vital elements of modern employee training programs. From creating and delivering learning materials, the collaboration between trainers and trainees, to assessing results and training progress, LMS offers a variety of benefits. Learning management systems are mostly used in online training sessions. However, they can also be used to combine traditional and eLearning classes together. A business can also invest in custom learning management system solutions to improve its training programs.
Leveraging The Power of Artificial Intelligence
Artificial intelligence can enhance employee training sessions in a variety of ways. AI can determine employees’ roles in the workplace, create training goals, adapt current training needs, and suggest the appropriate training activities be executed during the training sessions. Artificial intelligence can also lead workers to appropriate training videos and materials whenever needed. Most business settings use AI-integrated learning management systems (LMS) to develop highly personalized training programs. AI technology can also collect data from recent training sessions and programs to predict what lectures and lessons will be useful and advantageous on the basis of recent training programs.
Extended Reality Technologies
Extended reality solutions are the more advanced form of digital transformation to make the learning experience immersive for both businesses and employees. Extended reality or XR usually includes augmented reality (AR), virtual reality (VR), and mixed reality (MR). All these technologies are getting more popular in employee training as more businesses incorporate virtual reality training and other similar solutions to improve their training programs. Virtual reality immerses employees (trainees) in a totally artificial environment to give them a real feel even when they are attending online training classes. A business can partner with a reliable VR agency to develop personalized VR training solutions that are aligned with employee training needs.
Gamification
The latest tech innovations have given businesses plenty of opportunities to deliver effective, innovative, and engaging training experiences. Mobile learning and gamification (game-based apps) have become a new trend in the training delivery systems. The use of advanced technologies to learn, communicate and interact formally and informally is highly admired among business settings and employees across the globe. This shows that modern employees are happy and confident in receiving training via technology-based learning methods and techniques to hone their skills.
Self-learning, Continuous Learning & Microlearning
The digital era has enabled trainees to access all the available learning tools and materials anywhere anytime. This means employee training is not restricted to a particular training course, set of lectures, or book. Quick access to training lectures & materials, including assessment tests and training progress right on their mobile devices, allows them to improve, refresh and advance whenever needed. Microlearning also allows employees and other learners to learn different skills and expertise in small chunks using their own mobile devices.
Several online employee training program solutions offer self-paced employee-directed learning. Workers can get and review a training catalog and then choose training courses and lectures that are necessary for their roles. Furthermore, employers can also develop training web portals to allow their employees access to relevant training materials, resources and lectures.
Conclusion
In this digital world, it is impossible to imagine enhanced employee training without incorporating tech solutions. Latest tech innovations not only enable effective updating of employees’ expertise but increase employee retention rate as well. Digital transformation tools like mobile and XR technologies can also make the employee training experience more engaging.
Top 5 Open Source AI Image Processing Solutions
Self-driving automobiles and computers with human-like vision were only a fiction of a fantasy writer’s imagination a few decades or even years ago. However, artificial intelligence (AI) technologies now allow automobiles to navigate safely through congested streets and computers to analyze and transform images using PNG to DDS converters almost as well as people do.
Developers have made significant progress in implementing AI in image processing jobs. Furthermore, AI-powered image processing technologies are extensively employed in various areas, ranging from health to law enforcement to cybersecurity and retail. However, with the help of a PNG to DDS converter by onlineconverters.org, you can convert PNG to DDS image format.
Deep learning is used extensively in image processing and computer vision systems to complete complicated jobs such as:
- Image categorization
- Recognition of Objects
- Object detection
- Image creation and retrieval
To include certain computer vision features into your product, you’ll need a vast collection of tools and resources, including picture datasets, libraries with code samples, and frameworks for constructing and training deep learning models. Succinctly, several open-course programs are available to help you understand machine learning and design your own AI-based image processing solution.
However, if you know how to convert png to DDS you can save png as DDS.
We take a deeper look at the five top open-source image processing tools for your projects below:
OpenCV
The Open Source Computer Vision Library (OpenCV) is one of the most prominent open-source image processing services. It’s a free computer vision library that may be used for a variety of image-processing tasks:
- Obtaining Images
- Compression and decompression of images
- Enhancement and restoration of images
- Denoising an image
- Segmentation of images
- Data extraction, among other things
The library offers a plethora of algorithms, routines, png to DDS converters, and image processing-specific modules. A deep learning module is also included for developing and training deep learning models.
You may use OpenCV to extract features from processed photos with this module and then apply a machine-learning model based on one of many options.
TensorFlow
Google’s TensorFlow is an open-source machine learning framework. Initially, the project was created for the Google Brain team’s research reasons. On the other hand, TensorFlow is now extensively used by both tiny startups and huge corporations like Dropbox, Intel, and Twitter.
TensorFlow may be used to handle a variety of data formats; however, in terms of image processing, this framework is best suited for:
- Image categorization
- Recognition of images
- Segmentation of images
- Image-to-image conversion (pix2pix)
TensorFlow comes with a suite of libraries for developing and training bespoke deep learning models and neural networks. The framework is compatible with Jupyter notebooks and includes a style guide. Undoubtedly, png to DDS converter is an excellent tool if you want to transform your image format.
Keras
Keras is a Python open-source toolkit for building deep learning models. It’s an excellent option for individuals who are just starting to employ machine learning algorithms in their projects since it streamlines the building of a deep learning model from the ground up. Keras is simple to use and ideal for rapid prototyping of many types of neural networks.
TensorFlow was used to build the library, which is now completely incorporated into the framework. This implies that you may design your deep learning model in Keras, which has a much more user-friendly interface, and then integrate a specific TensorFlow functionality or feature in this model.
Caffe
Convolutional Architecture for Fast Feature Embedding (Caffe) is an open-source framework for developing and training popular deep learning architectures. Caffe may be used to do picture classification, segmentation, and recognition.
Caffe works well with convolutional neural networks (CNN) and feedforward networks when it comes to neural networks. However, it is not the ideal option for training recurrent neural networks.
Google Collaborate (Colab)
Google Colaboratory, sometimes known as Colab, is a leading image processing service. While Colab is more of a cloud service than a framework, it can nevertheless create unique deep-learning applications from scratch. You may use Colab to do image processing tasks such as picture classification, segmentation, and object detection.
Conclusion
Altogether, Machine learning models and algorithms assist developers in swiftly and easily incorporating certain image processing functions into their products. Building a bespoke machine learning model or neural network, on the other hand, necessitates a large number of resources and a high degree of technical skill.
You may ease the process of exploiting Artificial Intelligence technology by using the open-source tools, libraries, and frameworks described below. The process of conversion of file format has also become easy by png to DDS converter.