Although machine learning offers important new capabilities for solving today’s complex problems, more organizations may be tempted to apply machine learning techniques as a one-size-fits all solution.
The coronavirus pandemic has up ended the business world, education, and the workplace and landed us in a protracted moment of uncertainty and disruption. Companies are scrambling to manage distributed teams and coordinate work remotely, while retaining customers and finding new sources of revenue. Some must fully reinvent themselves to survive, as their traditional markets have shrunk or disappeared entirely.
Our abrupt and ongoing shift to remote work is having wide-ranging effects on design, engineering, and manufacturing industries, putting great pressure on organizations to be more agile, efficient, and flexible in a COVID-19 world.
Drawing on examples from manufacturing, retail and healthcare sectors, The Workforce Education Project's “roadmap for change” preliminary report from MIT Open Learning studied workforce challenges in the U.S. and developed case studies of how organizations are facing these challenges. The report presents a path forward to help expand both educational and job opportunities in the context of today’s workforce environment and demands.
There are more online learning resources to choose from than ever before. If you’re looking to learn emerging technologies or prepare your workforce for digital transformation an informational webinar can help you explore the content, structure, and learning outcomes of a prospective online course. Explore online courses and programs in topics like additive manufacturing, leadership, machine learning, negotiation, systems engineering, and quantum computing. Register to view any of the MIT-faculty led on-demand webinars below.
More professionals than ever are looking into online courses, including ones previously relegated to traditional classroom settings. Conventional wisdom once said that human skills like leadership and negotiation could not be learned online. However, this may no longer be the case. The Curve interviewed two online education experts at MIT about how educators and learners can improve the quality and efficacy of their next online course.
"You don’t have to become a machine learning expert to apply these new tools effectively. Engineers who more fully understand where machine learning can help -- and where it can’t -- can achieve real gains from these tools, whatever their industry.” -- Professor Youssef Marzouk Scan what has been published and written about machine learning, and you might conclude that it is the sole domain of big tech software companies such as Amazon, Google and Facebook. Yet, beyond commonly known applications such as predicting consumer behavior and driving e-commerce with recommendations, machine learning is being applied to design new aircraft and automobiles, build safety-critical systems, conduct chemical process design, and even predict earthquakes.
Finance is core to all business operations, but it isn’t the sole domain of MBA graduates and Wall Street analysts. All professionals benefit from strong finance understanding and capability as they make decisions, manage budgets, and work to advance new ideas and initiatives across their organizations.
Erica LeBlanc is the Global Sales Enablement Manager for Logi Analytics, a software company that offers integrated development environments for programmers to embed dashboards, visualizations, and analytics into software applications. Although LeBlanc has over a decade of sales enablement experience, and plenty of on-the ground negotiations practice, she was looking for a quick yet comprehensive way to brush up on the latest negotiation techniques from renowned experts in the field.
Remote work tips and tricks for managers and employees from MIT Open Learning and beyond. Between 2005 to 2017, the United States' workforce saw a 159% increase in remote work. Despite this general trend, many organizations and their employees were not prepared to make their workplaces completely remote. As working from home became a mandatory step for companies across the United States to reduce the spread of COVID-19, you may have found yourself scrambling to align with scattered colleagues, or attempting to balance your newly-entangled work and home life.