AI & Advanced Analytics in Talent & Workplace Learning
Welcome to the online space dedicated to the captivating talk by Trish Uhl at the Hacking HR Forum in Chicago. The forum took place on September 25, 2018. As a Senior Consultant in AI & Advanced Analytics in Talent & Workplace Learning, Trish delves into her wisdom and insights on the constantly changing environment of workplace learning and development.
- Harnessing AI for Instructional Design: The Future of Corporate Learning
- Meeting Modern Employees' Demand for Personalized Learning with AI
- Shifting Focus from Outputs to Outcomes: Leveraging AI Tools for Organizational Transformation
- The Importance of Effective Learning in the Workplace
- The Influence of Globalization on Workplace Learning
- The Rise of Pervasive Computing and Data-Driven Devices
- Transitioning Workforce: From Humans to Augmented Humans to Robots
- Understanding the Role and Impact of Workplace Learning
The Learning & Development strategy must shift from a general approach to a more personalized one, meeting individual learning needs. The focus must also move from simply creating and delivering learning material to measuring learning outcomes and achieving sustainable behavioral changes.
Modern employees desire personalized, contextual, relevant learning experiences with immediate feedback. These experiences should contribute to their roles and add value to their professional growth.
Organizations need to shift from a generalized to an individual-centric approach, harness the power of AI tools, and focus on outcomes rather than outputs to meet the demand for personalized learning.
Organizations should leverage AI tools, transform their L&D strategies, and shift their focus from measuring outputs to assessing outcomes to adapt to the evolving workforce.
This transition refers to the integration of technology with human capabilities, enhancing our physical, intellectual, and emotional abilities. Augmented humans can refer to anything from people using wearable technology to those with implanted devices that improve natural abilities or add new ones.
AI provides a variety of tools that can assist with learning and development strategies. From AI entities like Coach M that offers one-on-one coaching at scale, to tools like Otto that facilitate onboarding and knowledge sharing, AI can be harnessed to achieve sustainable behavior changes faster and provide more value to employees.
The workforce is transitioning from humans to augmented humans, and eventually to robots and algorithms. This shift is mainly driven by advancements in technology such as artificial intelligence.
AI offers tools like one-on-one coaching at scale, assists in onboarding and knowledge sharing, and allows for instructional design and delivery.
It involves a transformation in mindset, skill set, and toolset. The focus shifts from measuring outputs to assessing outcomes, emphasizing the behavioral changes induced by learning.
To leverage AI, organizations must transform their mindset to appreciate the value of AI, develop new skills to utilize AI tools, and adapt their tool set to include AI. They must focus on outcomes, rather than outputs, to create effective learning experiences that foster behavioral change.
AI tools like Coach M and Otto offer personalized coaching and facilitate onboarding and knowledge sharing, revolutionizing the learning function within organizations.
AI tools like Coach M and Otto are revolutionizing learning functions by offering scalable one-on-one coaching and facilitating onboarding and knowledge sharing, respectively.
Data-driven devices are tools or gadgets that use data to provide services, information, or feedback. Examples include wearable technology like Fitbit or iWatch that collect and use data to provide insights about your health and fitness.
Modern employees crave personalized, contextual, and relevant learning experiences with immediate feedback. They appreciate learning that is specifically tailored to their needs, reflective of their work context, and provides value to their roles.
Artificial intelligence provides an array of tools that can assist in learning and development. For instance, AI entities like Coach M offer one-on-one coaching on a large scale, and AI tools like Otto facilitate onboarding and knowledge sharing.
The new Learning & Development strategy must aim to achieve sustainable behavior change faster, offer more value, and shift focus from measuring outputs to measuring outcomes.
Yes, AI-powered tools like Otto are enhancing the learning experience, fostering a culture of continuous learning and collaboration in the workplace.
AI is enabling personalized, contextual learning experiences. AI tools like Coach M and Otto offer scalable one-on-one coaching and knowledge sharing, making the learning process more effective and comfortable.
Personalized learning is crucial because it caters to individual needs, promotes effective behavioral change, and enhances employee engagement and retention.
We’re seeing a shift from a human-centric workforce to augmented humans and eventually, to a workforce dominated by robots and algorithms, driven by AI and other advanced technologies.
Pervasive computing, also known as ubiquitous computing, refers to a computing environment where any device, anywhere, anytime, can provide us with the computing capabilities we need.
The advent of globalization has broadened the talent pool by making it more diverse. With half of the world’s population now online, businesses can reach out to talents across different backgrounds, cultures, and experiences. This brings about a diverse set of skills and perspectives into the workplace.
With half the world’s population now online, businesses can tap into talent from diverse backgrounds and cultures. This broadens the talent pool and places new demands on the learning functions within organizations.
Workplace learning should lead to behavioral change and is vital in teaching individuals how to optimally carry out their roles and navigate the business environment.
AI is revolutionizing instructional design by facilitating personalized, context-specific learning experiences. It processes vast amounts of data, generating insights that can tailor learning to individual needs and styles.
Shifting focus to outcomes means valuing the impact of learning on behavior change rather than just producing materials. This approach facilitates continuous learning and fosters a culture of collaboration and productivity.
June 2023
Hacking HR Forum Chicago – Trish Uhl (September 25, 2018)
About the Talk
In her invigorating talk, Trish navigates through the significance of effective learning in the workplace for talent retention, collaboration, and productivity. She unravels the misunderstandings surrounding the strategic focus and definition of workplace learning and its varied meanings for Learning & Development (L&D) in present-day organizations.
Trish also explores the alterations induced by globalization and technology, inclusive of the effect on the talent pool and the learning function in the contemporary gig economy. She brings to light the concept of pervasive computing or ubiquitous computing, with gadgets like Fitbits and iWatches furnishing data-driven insights capable of influencing behavior.
Navigating the transitional landscape from humans to augmented humans to robots, Trish presents the challenge of merging these changes to deliver top-quality employee experiences and retain vital talent. She advocates for a shift from emphasizing outputs to outcomes and presents tools like Coach M and Otto that utilize AI for personalized coaching and onboarding.
About Trish Uhl
Trish Uhl, a leading figure in AI & Advanced Analytics in Talent & Workplace Learning, is the originator of the Talent & Learning Analytics Leadership Forum and the Learning Experiences Ecosystems Engineering framework. Her work highlights the intersection of people analytics, learning analytics, and AI in HR.
Breakdown of the Talk
0:00 – 1:30: The Importance of Effective Learning in the Workplace
Trish initiates her talk by examining the importance of effective learning in the workplace for talent retention, collaboration, and productivity.
1:30 – 3:00: Understanding the Role and Impact of Workplace Learning
She elaborates on the confusion surrounding the strategic focus and definition of workplace learning in today’s organizations.
3:00 – 4:30: The Influence of Globalization on Workplace Learning
Trish explores the effects of globalization and technology, particularly on the talent pool and the learning function in the gig economy.
4:30 – 6:00: The Rise of Pervasive Computing and Data-Driven Devices
She presents the concept of pervasive computing, with devices such as Fitbits and iWatches providing data-driven insights that can influence behavior.
6:00 – 7:30: Transitioning Workforce: From Humans to Augmented Humans to Robots
Trish dives into the transition from humans to augmented humans to robots and the need to integrate these changes to deliver quality employee experiences.
7:30 – 9:00: Meeting Modern Employees’ Demand for Personalized Learning
She sheds light on the modern employees’ demand for personalized, context-specific learning that provides fast feedback.
9:00 – 10:30: Shifting Focus from Outputs to Outcomes and Leveraging AI Tools
Trish advocates for a shift in focus from outputs to outcomes, and introduces AI-powered tools like Coach M and Otto for coaching and onboarding.
10:30 – End: Harnessing AI for Instructional Design and the Need for Transformation
She concludes by discussing the use of AI for instructional design and the necessary changes in mindset, skill set, and tool set.
Explore these sections in detail and discover the key takeaways from Trish Uhl’s enlightening presentation at the Hacking HR Forum in Chicago
