Learning prediction 5: Organizations will build an internal talent marketplace
"We spend all our money on external talent acquisition, but what about internal talent acquisition and career planning for our current workforce? Employees say it's easier to find a new job at another company than to identify a new role inside their companies," the authors write. "This shouldn't be the case."
"Continuous learning for employees to reskill and take the next step or work on an exciting project can be part of your talent management system," they write. "In short, talent management will need to shift to a new way of thinking about skills in our era of rapid change."
How are companies transforming their workforce into a "data-driven" culture and equipping workers with the skills they'll need? Check out our slideshow....
Trend 1: From concept to reality: AI goes mainstream in 2020
"We're starting to see AI adopted in all parts of the business," the authors write. "Marketing is applying AI data insights on customer behavior to tailor sales offers. HR teams are beginning to use AI to recruit, screen and interview candidates. Finance teams are applying AI and machine learning to reduce company travel costs."
Top 10 emerging tech skills: Gatsby.js (web framework), AWS Big Data, React Hooks, Microsoft Azure Architecture, Next.js (web framework), Apache Airflow (data processing), SwiftUI (Apple apps), Pegasystems (digital process automation), ESP32 (internet of things) and Quantum computing.
Trend 2: Upleveling the human: 2020 is about realizing the full potential of humans and machines
"As automation and AI take care of the more mundane tasks, employees are increasingly specializing in tasks that leverage unique 'human' strengths like creativity, emotional intelligence and storytelling," the authors write. "2020 and the next decade will be about upleveling the human and realizing the full potential of humans and machines in the workplace."
Top 10 fastest-growing process and tools skills in the workplace: SAP, ISO/IEC 27001 (risk management), Information security process, Microsoft Dynamics 365, UiPath (Robotic Process Automation), Business process management, Scrum (Agile), Oracle SQL, Robotic Process Automation and Risk management.
Trend 3: Learning and development is starting to tackle reskilling the workforce
"With tight labor markets, business leaders are beginning to recognize retraining existing talent for new roles as more effective than competing for scarce talent," the authors write. "While reskilling for future skills requires long-term planning, the cost of disruptive layoffs and hiring can be more expensive than providing continuous training for employees."
With this new demand for reskilling, organizations are placing a higher priority on L&D: 35 percent of surveyed organizations enjoyed increased budgets in the last year, and only 13 percent saw their budget decline. However, 51 percent of L&D budgets remained the same, "which is worrying, given the reskilling task ahead."
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Trend 4: Organizations are building a data-driven culture
"Businesses are transforming into a data-driven organizations by upskilling on tech skills like deep learning, algorithms, automation, natural language processing, Excel, data analytics and the cloud," the authors write. "Roles are changing fast and becoming more fluid. For example, marketers and sales pros are becoming more data savvy."
Emerging skills: for marketers, data science, SQL, Excel, and Tablea; for sales people, Excel and SQL; for finance professionals, Excel, Tableau, financial analysis, and soft skills like leadership, diversity, and performance management; for engineers, Python, Java, AWS, and web frameworks (React, Angular, Spring, Node.js).
Trend 5: Countries across the world are upskilling in highly coveted tech skills
Top 20 countries learning popular tech skills such as Python, React, machine learning, deep learning, Docker and Amazon AWS: U.S., India, Brazil, U.K., Germany, Japan, France, Italy, Netherlands, Israel, Canada, Poland, Mexico, Spain, Australia, Singapore, South Africa, Thailand, Argentina, and the Russian Federation.
"We also ranked countries with the highest average number of learning hours per learner to neutralize bias for size," the authors write. "Based on this analysis, we uncovered countries doing the best at acquiring these highly coveted tech skills on a per learner basis."
Top 20 countries with the highest learning on popular tech skills per learner: Bulgaria, Italy, Ukraine, Greece, Canada, Czech Republic, Switzerland, Serbia, Israel, Romania, Norway, Russian Federation, Finland, Poland, Denmark, Japan, Singapore, Sweden, Hungary and Portugal.
Learning prediction 1: Skills mapping will chart the future workforce
"Skills mapping is a visual representation of skills needed to perform desired roles as compared to the existing skill base of an organization's workforce," the authors write. "This exercise helps HR and L&D leaders identify key skill gaps. As organizations tackle workforce reskilling, they're beginning to hire experts to help map existing workforce skills and future skills."
For example, JPMorgan Chase is working with the Massachusetts Institute of Technology's Initiative on the Digital Economy to forecast emerging skillsets for its workforce. The financial services firm is also piloting a "skills passport" platform in its IT department, which enables employees to assess current skills as well as browse new roles and the necessary training to achieve the next step in their careers.
Learning prediction 2: Focused Capability Academies will replace ad hoc training
"While hiring new talent can address immediate resource needs, such as those required to rapidly build out an organization's AI practice at the start, it sidesteps a critical need for most organizations: broad capability building across all levels," the authors write. "This is best accomplished by training current employees using in-house capability programs."
For example, Publicis Sapient, a business and technology consulting firm, reorganized its organization and L&D team by "capabilities." For the artificial intelligence capability, they launched an AI Academy to provide in-depth training for existing employees in AI and data science.
Learning prediction 3: Communities of practice will help keep skills up to date — quickly
"Communities of practice aren't just an organic peer learning effort," the authors writeonline . "Learning and development teams are also creating structured learning around their communities. This might include trolling Slack for commonly asked questions and creating content for in-person and virtual sessions around these issues."
Online courses or lectures can be assigned as pre-work, while in-person sessions focus on hands-on practice and discussion. In 2020, Udemy expects more companies will rely on social learning.
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Learning prediction 4: The L&D function will radically transform in the next decade
"In 2020, we expect L&D teams to radically transform themselves," the authors write. "This will involve reshaping the learning ecosystem to optimize the learner experience. Part of this experience will involve applying adaptive AI and personalization to learning as well as tailored learning paths."
While only 5 percent of organizations currently use AI, 26 percent of L&D teams surveyed by Udemy plan to add it in the next few years; 24 percent plan to add chatbots; 17 percent plan to add virtual reality and 13 percent plan to add augmented reality.
While facilitators/instructors (36 percent) and LMS admins (36 percent) still make up the majority of L&D teams today, learning technology managers (27 percent) and content curators (22 percent) are starting to become mainstream. And new roles are "popping up," such as data analyst (15 percent), learning experience designer (10 percent), and social community manager (8 percent).
Learning prediction 5: Organizations will build an internal talent marketplace
"We spend all our money on external talent acquisition, but what about internal talent acquisition and career planning for our current workforce? Employees say it's easier to find a new job at another company than to identify a new role inside their companies," the authors write. "This shouldn't be the case."
"Continuous learning for employees to reskill and take the next step or work on an exciting project can be part of your talent management system," they write. "In short, talent management will need to shift to a new way of thinking about skills in our era of rapid change."
How are companies transforming their workforce into a "data-driven" culture and equipping workers with the skills they'll need? Check out our slideshow....
Trend 1: From concept to reality: AI goes mainstream in 2020
"We're starting to see AI adopted in all parts of the business," the authors write. "Marketing is applying AI data insights on customer behavior to tailor sales offers. HR teams are beginning to use AI to recruit, screen and interview candidates. Finance teams are applying AI and machine learning to reduce company travel costs."
Top 10 emerging tech skills: Gatsby.js (web framework), AWS Big Data, React Hooks, Microsoft Azure Architecture, Next.js (web framework), Apache Airflow (data processing), SwiftUI (Apple apps), Pegasystems (digital process automation), ESP32 (internet of things) and Quantum computing.
Trend 2: Upleveling the human: 2020 is about realizing the full potential of humans and machines
"As automation and AI take care of the more mundane tasks, employees are increasingly specializing in tasks that leverage unique 'human' strengths like creativity, emotional intelligence and storytelling," the authors write. "2020 and the next decade will be about upleveling the human and realizing the full potential of humans and machines in the workplace."
Top 10 fastest-growing process and tools skills in the workplace: SAP, ISO/IEC 27001 (risk management), Information security process, Microsoft Dynamics 365, UiPath (Robotic Process Automation), Business process management, Scrum (Agile), Oracle SQL, Robotic Process Automation and Risk management.
Trend 3: Learning and development is starting to tackle reskilling the workforce
"With tight labor markets, business leaders are beginning to recognize retraining existing talent for new roles as more effective than competing for scarce talent," the authors write. "While reskilling for future skills requires long-term planning, the cost of disruptive layoffs and hiring can be more expensive than providing continuous training for employees."
With this new demand for reskilling, organizations are placing a higher priority on L&D: 35 percent of surveyed organizations enjoyed increased budgets in the last year, and only 13 percent saw their budget decline. However, 51 percent of L&D budgets remained the same, "which is worrying, given the reskilling task ahead."
Advertisement
Trend 4: Organizations are building a data-driven culture
"Businesses are transforming into a data-driven organizations by upskilling on tech skills like deep learning, algorithms, automation, natural language processing, Excel, data analytics and the cloud," the authors write. "Roles are changing fast and becoming more fluid. For example, marketers and sales pros are becoming more data savvy."
Emerging skills: for marketers, data science, SQL, Excel, and Tablea; for sales people, Excel and SQL; for finance professionals, Excel, Tableau, financial analysis, and soft skills like leadership, diversity, and performance management; for engineers, Python, Java, AWS, and web frameworks (React, Angular, Spring, Node.js).
Trend 5: Countries across the world are upskilling in highly coveted tech skills
Top 20 countries learning popular tech skills such as Python, React, machine learning, deep learning, Docker and Amazon AWS: U.S., India, Brazil, U.K., Germany, Japan, France, Italy, Netherlands, Israel, Canada, Poland, Mexico, Spain, Australia, Singapore, South Africa, Thailand, Argentina, and the Russian Federation.
"We also ranked countries with the highest average number of learning hours per learner to neutralize bias for size," the authors write. "Based on this analysis, we uncovered countries doing the best at acquiring these highly coveted tech skills on a per learner basis."
Top 20 countries with the highest learning on popular tech skills per learner: Bulgaria, Italy, Ukraine, Greece, Canada, Czech Republic, Switzerland, Serbia, Israel, Romania, Norway, Russian Federation, Finland, Poland, Denmark, Japan, Singapore, Sweden, Hungary and Portugal.
Learning prediction 1: Skills mapping will chart the future workforce
"Skills mapping is a visual representation of skills needed to perform desired roles as compared to the existing skill base of an organization's workforce," the authors write. "This exercise helps HR and L&D leaders identify key skill gaps. As organizations tackle workforce reskilling, they're beginning to hire experts to help map existing workforce skills and future skills."
For example, JPMorgan Chase is working with the Massachusetts Institute of Technology's Initiative on the Digital Economy to forecast emerging skillsets for its workforce. The financial services firm is also piloting a "skills passport" platform in its IT department, which enables employees to assess current skills as well as browse new roles and the necessary training to achieve the next step in their careers.
Learning prediction 2: Focused Capability Academies will replace ad hoc training
"While hiring new talent can address immediate resource needs, such as those required to rapidly build out an organization's AI practice at the start, it sidesteps a critical need for most organizations: broad capability building across all levels," the authors write. "This is best accomplished by training current employees using in-house capability programs."
For example, Publicis Sapient, a business and technology consulting firm, reorganized its organization and L&D team by "capabilities." For the artificial intelligence capability, they launched an AI Academy to provide in-depth training for existing employees in AI and data science.
Learning prediction 3: Communities of practice will help keep skills up to date — quickly
"Communities of practice aren't just an organic peer learning effort," the authors writeonline . "Learning and development teams are also creating structured learning around their communities. This might include trolling Slack for commonly asked questions and creating content for in-person and virtual sessions around these issues."
Online courses or lectures can be assigned as pre-work, while in-person sessions focus on hands-on practice and discussion. In 2020, Udemy expects more companies will rely on social learning.
Advertisement
Learning prediction 4: The L&D function will radically transform in the next decade
"In 2020, we expect L&D teams to radically transform themselves," the authors write. "This will involve reshaping the learning ecosystem to optimize the learner experience. Part of this experience will involve applying adaptive AI and personalization to learning as well as tailored learning paths."
While only 5 percent of organizations currently use AI, 26 percent of L&D teams surveyed by Udemy plan to add it in the next few years; 24 percent plan to add chatbots; 17 percent plan to add virtual reality and 13 percent plan to add augmented reality.
While facilitators/instructors (36 percent) and LMS admins (36 percent) still make up the majority of L&D teams today, learning technology managers (27 percent) and content curators (22 percent) are starting to become mainstream. And new roles are "popping up," such as data analyst (15 percent), learning experience designer (10 percent), and social community manager (8 percent).
Learning prediction 5: Organizations will build an internal talent marketplace
"We spend all our money on external talent acquisition, but what about internal talent acquisition and career planning for our current workforce? Employees say it's easier to find a new job at another company than to identify a new role inside their companies," the authors write. "This shouldn't be the case."
"Continuous learning for employees to reskill and take the next step or work on an exciting project can be part of your talent management system," they write. "In short, talent management will need to shift to a new way of thinking about skills in our era of rapid change."
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Katie Kuehner-Hebert
Katie Kuehner-Hebert is a freelance writer based in Running Springs, Calif. She has more than three decades of journalism experience, with particular expertise in employee benefits and other human resource topics.
