Much of our curriculum is based on feedback from corporate and government partners about the technologies they are using and learning. In addition to their feedback we wanted to develop a data-driven approach for determining what we should be teaching in our data science corporate training and our free fellowship for masters and PhDs looking to enter data science careers in industry. Below is a ranking of 23 open-source deep learning libraries that are useful for Data Science, based on Github and Stack Overflow activity, as well as Google search results. The table shows standardized scores, where a value of 1 means one standard deviation above average (average score of 0). For example, Caffe is one standard deviation above average in Github activity, while deeplearning4j is close to average.
Imagine a scenario where every employee in the world has access to personalized learning and that learning helps them build knowledge and skills they need throughout their careers. But now with machine learning a personalized learning experience is possible. In corporate education, machine learning can personalize an employee's learning experience by: Machine learning organizes and recommends learning content based on who you are and what it understands you are interested in. "I get a lot of feedback from people thinking that machine learning is about building better recommendation systems when in fact the ultimate goal is to understand why we are recommending a given piece of content," he said.
Lastly, corporate benefits of augmented reality training aren't dependent on the next generation of hardware. The new ARKit from Apple turns today's hardware into powerful AR training tools. Just as the smartphone was adopted by employees long before corporate training apps were created, millions of workers are engaging with augmented reality on their phones and tablets today. Properly configured, today's digital reality and machine learning tools have the power to improve safety, productivity, and reduce cost.
Mondal describes the HR solution as a "classic machine learning/deep learning application." Krista Jones, managing director, Work and Learning, Venture Services at MaRS, says that "a significant number of startups in our Work and Learning group are using machine learning to innovate, whether it's talent management, analytics for decision making, assessing cultural fit, or corporate training programs." Another hot area for HR solution providers is people analytics, which allows employers to understand what skills are missing and understand internal risk. "Rather than setting goals for the year, you can respond to short-term goals and provide better incentives that align with that person's behaviour, based on sales data, product information, profitability and outcomes, as well as on what that representative is selling when and where, and market segments.
A few weeks ago I wrote "Why C-Levels Need To Think About eLearning And Artificial Intelligence." That was an inward-focused piece on the importance of things such as professional development and corporate training. This go around it's outward-facing. It's about improving the customer's experience. Today's business environment is all about the user experience and creating those memorable and engaging experiences for customers that will have them coming back for more, time and time again.
Blackboard Learn's advanced assessment capabilities match or exceed those of many dedicated commercial online testing platforms. In this session, Paul Barney, Supervisor of Curriculum and Assessment at the Higher Colleges of Technology, and Azim Ahmed, Ed Tech Senior Project Manager, demonstrate how their institution uses Blackboard to reliably and securely test up to 4000 students per administration. The session addresses the three biggest challenges institutions can encounter, solutions to those challenges, and tips and advice for a smooth and problem-free large-scale administration.
The teams usually responsible for corporate learning within companies, human resources, are also undergoing a period of change as they identify areas where they need to come up to speed to deliver the most tangible results for their companies. Although there has been an increase in the use of video technology within corporate learning, from 5 percent to 15 percent over the space of a year, there are still a significant proportion of organizations that struggle with outdated platforms and static learning approaches, according to Deloitte's Global Human Capital Trends study carried out this year. In the Deloitte research, just 8 percent of the companies involved were found to currently have dedicated CPD programs for their human resources employees although learning & development was rated as the 5th most important growth area with 84 percent of respondents characterising it as important or very important. In the Deloitte survey respondents identified a variety of learning tools that they felt can contribute to their development within their company, these included external certificates at 32 percent, MOOCs (Massive Open Online Courses) at 18 percent and external, self-directed learning powered by social media at 14 percent.