Polymathic

Digital transformation, higher education, innovation, technology, professional skills, management, and strategy

  • ,

    AI’s role in the future of work

    AI’s role in the future of work

    The key insights from this article are that the future of work will involve a heavy dose of AI, and companies need to cultivate an AI-ready workforce. AI can be viewed as an ally that augments human potential. Companies should leverage AI to identify emerging skills gaps, build talent transformation programs, and personalize employee engagement. Agility in talent strategies is crucial, and companies should establish AI-driven talent acquisition programs and upskilling initiatives. AI ethics should be embedded in operations to eliminate bias and counteract job displacement.

    Original article: Is There a Future of Work with AI?

    , ,
  • ,

    The role of AI in digital transformation.

    The role of AI in digital transformation.

    The key insights from this article are that artificial intelligence (AI) is playing a significant role in enterprise digital transformation by revolutionizing operations, improving customer experiences, and unlocking growth opportunities. AI-powered automation can streamline processes and improve efficiency, while data-driven insights enable informed decision-making. AI also enables personalized customer experiences and enhances security and risk management. However, there are challenges to consider, such as data quality and privacy, skill gaps, change management, and integration complexity. Best practices for AI-driven digital transformation include setting clear objectives, investing in data infrastructure, fostering a learning culture, and prioritizing ethical AI.

    Original article: The Role of Artificial Intelligence in Enterprise Digital Transformation

    , ,
  • ,

    LXPs are platforms for personalized learning

    LXPs are platforms for personalized learning

    The key insights from this article are that LXPs (Learning Experience Platforms) are used for self-directed learning and professional development, offering personalized learning paths and tailored content recommendations. LXPs utilize AI and machine learning to curate and generate content, provide analytics and dashboards for tracking progress, and integrate with third-party platforms. LXPs offer a modern and engaging user experience, with features such as gamification and social learning. The learning and development market is expected to continue growing, with LXPs gaining popularity.

    Original article: learning experience platform (LXP)

    , ,
  • ,

    Engaging Instructional Activities for Online and Hybrid Courses

    Engaging Instructional Activities for Online and Hybrid Courses

    The article provides a list of various instructional activities that can be used in online and hybrid courses. These activities include case study analysis, document analysis, visual culture/artifact analysis, critiques or critical reviews, virtual tours, mapping activities, mind or concept mapping, timelines, project-based learning, creation of lesson plans and learning materials, role-playing games, artificial intelligence prompts and testing, social media campaigns, research posters, infographics, experimental design, interviews, speeches, summarizing news or current events, developing plans of action, analyzing and applying theories, and designing exhibits or displays. The article also mentions the importance of checking the privacy and accessibility statements of educational technology tools before using them.

    Original article: Online & Hybrid Instructional Activities Index

    ,

  • The Perfect Time for A.I.

    The Perfect Time for A.I.

    “Even though A.I. is moving into the next phase of its development, the birth of the industry came at the “perfect time” for the global/U.S. economy, the partners write. The U.S. economy is facing an existential problem whereby it risks not having enough workers to fill all of its jobs. Essentially, the current, extremely tight labor market will be a permanent fixture of the economy rather than a recent trend. “The U.S. workforce fell into a wormhole and disappeared,” Kedrosky and Norlin write.”—A.I. came at 'perfect time' to save the economy, VC says | Fortune

    , ,
  • ,

    The Rise of Quiet Cutting

    The Rise of Quiet Cutting

    The article discusses a phenomenon called “quiet cutting” where companies are finding ways to cut jobs without officially firing employees. Layoffs are down, but workers are receiving messages that their jobs are gone. The article highlights the jarring nature of this approach and suggests that it is a way for companies to avoid negative publicity associated with layoffs. The key insight is that while the number of layoffs may be decreasing, companies are still finding alternative ways to reduce their workforce.

    Original article: Youve Heard of Quiet Quitting. Now Companies Are Quiet Cutting.

    ,
  • ,

    Large language models struggle with generating clean code

    Large language models struggle with generating clean code

    The article discusses a study on the reliability and robustness of code generated by large language models (LLMs) for Java coding questions. The study evaluated four code-capable LLMs, including GPT-3.5 and GPT-4 from OpenAI, and found that they exhibited high rates of API misuse. The study also highlighted the importance of assessing code reliability beyond semantic correctness and emphasized the need for static analysis to ensure full coverage. Llama 2, an open model, performed the best with a failure rate of less than one percent.

    Original article: Perhaps AI is going to take away coding jobs of those who trust this tech too much

    ,

  • The Future of Productivity: Demographic Trends and Labor Shortage

    The Future of Productivity: Demographic Trends and Labor Shortage

    “Kedrosky and Norlin believe demographic trends will ultimately lead to a drastic decline in overall productivity as industries like retail, manufacturing, and health care struggle to fill open positions. There’s some indication that those trends are, in fact, here to stay. The overall labor force participation rate is still about a percentage point lower than it was in February 2020. In a workforce the size of the U.S.’s that can equal several million workers.”—A.I. came at 'perfect time' to save the economy, VC says | Fortune

    , ,
  • ,

    Using Generative AI and Automation for improvement

    Using Generative AI and Automation for improvement

    The key insights from this article are that OpenAI has released fine-tuning for the ChatGPT 3.5 Turbo model, which allows for customization to specific tasks and improves durability and reliability of the output. Fine-tuning also enables the shortening of prompts, saving time and cutting costs. The article provides a step-by-step guide on how to fine-tune the ChatGPT 3.5 Turbo model, including formatting data into JSON, gathering examples, uploading examples, creating a fine-tuning job, and using the fine-tuned model. The cost of fine-tuning is divided into training cost and usage cost.

    Original article: How to Fine-tune a ChatGPT 3.5 Turbo Model Step by Step Guide

    , ,
  • ,

    Skills-based hiring can drive equitable workforce

    Skills-based hiring can drive equitable workforce

    The key insights from this article are that traditional degree requirements for hiring can limit opportunities for individuals from marginalized backgrounds, hinder economic growth and global competitiveness, stifle entrepreneurship, and decrease employee engagement and satisfaction. The article highlights the importance of skills-based hiring and states’ role in driving this change. It mentions several states that have removed degree requirements for public sector jobs and emphasizes the need for collaboration among nonprofits, policymakers, businesses, educators, and community leaders to create an equitable U.S. workforce.

    Original article: Why States Must Remove Degree Requirements for Equitable Hiring

    , , ,

About Me

Digital transformation, including agile and devops, across many industries, most recently in higher education. Designed and built the Emory faculty information system. Working in continuing education to improve and expand career-focused learning, esp. in workforce development. Expanding the role of innovation and entrepreneurship. Designed, built, and launched the Emory Center for Innovation.

Recent Posts

Favorite sites

  • Daring Fireball

Favorite podcasts

  • Manager Tools

Newsletter

Newsletter