Polymathic

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

  • IBM commits to train 2 million in AI.

    IBM commits to train 2 million in AI.

    The key insights from this article are that IBM has committed to training two million learners in artificial intelligence (AI) by the end of 2026, with a focus on underrepresented communities. This effort is aimed at closing the global AI skills gap and will involve collaborations with universities, offering free online courses on generative AI and Red Hat open source technologies. IBM’s existing program, IBM SkillsBuild, will provide enhanced access to AI education and in-demand technical roles. The article also mentions IBM’s commitment to skill 30 million people by 2030 and its focus on making free online learning widely available, particularly for historically underrepresented communities in tech.

    Original article: IBM Commits to Train 2 Million in Artificial Intelligence in Three Years, with a Focus on Underrepresented Communities

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    The Growing Role of AI in HR

    The Growing Role of AI in HR

    The key insights from this article are that AI is being increasingly integrated into HR processes to streamline operations and enhance productivity. However, AI is viewed as a complementary tool rather than a substitute for human professionals. While AI can handle many tasks, human intelligence is still necessary for decision-making and providing a human touch. AI has advantages in talent acquisition, employee engagement, predictive analytics for HR decisions, and performance management. However, AI has limitations in emotional intelligence, empathy, and contextual understanding.

    Original article: Are AI-based Tools a Substitute or an Alternative toHuman Intelligence?

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    Steps to Achieve Digital Excellence

    Steps to Achieve Digital Excellence

    The article discusses the steps organizations can take to achieve excellence in digital delivery and improve performance outcomes. It highlights 19 capabilities grouped into strategy, structure, people practices and culture, process, and technology that drive team-level performance. The article emphasizes the importance of mindset shifts, empowering teams, allocating resources, fostering a culture of openness, and investing in collaboration tools. It also mentions the need for clear communication, embracing change, and setting strategic priorities. The article concludes that organizations that follow these steps can see improvements in effectiveness, productivity, quality, and speed.

    Original article: Stairway to digital excellence

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    The Pitfalls of Over-reliance on AI

    The Pitfalls of Over-reliance on AI

    “Fabrizio Dell’Acqua shows why relying too much on AI can backfire. In an experiment, he found that recruiters who used high-quality AI became lazy, careless, and less skilled in their own judgment. They missed out on some brilliant applicants and made worse decisions than recruiters who used low-quality AI or no AI at all. When the AI is very good, humans have no reason to work hard and pay attention. They let the AI take over, instead of using it as a tool.” —Centaurs and Cyborgs on the Jagged Frontier

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    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?

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    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

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    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)

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    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

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  • 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

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    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.

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About Me

Visionary leader driving digital transformation across higher education and Fortune 500 companies. Pioneered AI integration at Emory University, including GenAI and AI agents, while spearheading faculty information systems and student entrepreneurship initiatives. Led crisis management during pandemic, transitioning 200+ courses online and revitalizing continuing education through AI-driven improvements. Designed, built, and launched the Emory Center for Innovation. Combines Ph.D. in Philosophy with deep tech expertise to navigate ethical implications of emerging technologies. International experience includes DAAD fellowship in Germany. Proven track record in thought leadership, workforce development, and driving profitability in diverse sectors.

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