The article provides a step-by-step guide for new managers at Indigo, with required and optional items to ensure they have all the necessary resources and training available. The guide includes scheduling a handover meeting with the current team manager to discuss recent feedback, projects, individual goals, and shared documents or performance reviews. The article is written by Adam C. Conrad, an Engineering Manager at Meta, who is also an advisor, speaker, and writer. The reading time for the article is 2 minutes. Original article: Becoming an engineering manager  read more >

The article discusses the impact of AI on jobs and the workforce, including the potential for job displacement and the need for adaptation and reskilling. It also explores potential solutions such as universal basic income and the integration of AI and human collaboration. The article provides examples of industries and tasks that are at risk of being replaced by AI, as well as new job opportunities in data science, AI engineering, cybersecurity, and AI ethics. The article concludes with the idea that AI technology should coexist with humans in a balanced way to improve our lives while... read more >

The article discusses the benefits of promoting managers from within a company and increasing employee engagement. It also introduces the Owens-Kadakia Learning Cluster Design Model (OK-LCD Model), which is a learning strategy and competency for modernizing learning initiatives. The model includes five actions and four principles to drive on-the-job change and shift learning's impact from a cost center to a strategic business partner. The article offers various DIY and done-for-you learning offerings for leaders, teams, consultants, and L&D professionals to upskill and adopt the LCD... read more >

“Technology and society are driving changes faster than your people can adapt. According to the OECD, 1.1 billion jobs will be disrupted in the next five years. Employees the world over require upskilling (learning to improve current work) and reskilling (learning to do new types of work).”—Build a Strong Learning Culture on Your Team  read more >

“The most at-risk industries are “administrative support” estimated at 46% and “legal” estimated at 44%. The least at-risk roles will be within manual labor and hands-on jobs. The timeline of these estimates is unclear, but potentially within ten years.”—Artificial Intelligence Series 2 Of 5: AI’s Influence On The Workforce  read more >

Exploring how human capital remains central to ethical digital transformation, focusing on upskilling and reskilling strategies for emerging technologies. read more >

The article discusses the Modern Learning Ecosystem (MLE) Framework, a practical approach to workplace learning that emphasizes making learning and support available when and where people need it. The framework is technology, industry, and budget agnostic and can be applied by any organization. The article also provides recommended readings, downloads, and presentations related to the MLE Framework. The author, JD Dillon, is a veteran talent development leader and author of the book "The Modern Learning Ecosystem: A New L&D Mindset for the Ever-changing Workplace." Original article: Modern... read more >

The article is about CAST, an organization that works to improve teaching and learning for all people based on scientific insights into how humans learn. They created the Universal Design for Learning (UDL) framework, which guides the design of instructional goals, assessments, methods, and materials that can be customized and adjusted to meet individual needs. The UDL Guidelines are a tool used in the implementation of UDL, offering concrete suggestions that can be applied to any discipline or domain to ensure that all learners can access and participate in meaningful, challenging learning...... read more >

“AI Brings Needed Scale And Precision To Marketing The meteoric rise of generative AI marks both a beginning and ending for marketing creativity as we know it.” —How Marketing Creativity Is Revolutionized By Generative AI  read more >

There’s a wide range of possible effects of the use of AI at work. Some people will use AI as a tool, augmenting their value. Some don’t have value outside of what AI can produce. The biggest point is that everyone needs to learn how to use this tool or be replaced. “The most common use cases for AI will likely be saving workers time so they can concentrate on higher-value work or adding additional value to their work. A graphic designer, writer or software developer, for example, can often be more productive with AI-generated first drafts. But that additional productivity won’t necessarily...... read more >