collected
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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… Continue reading
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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.… Continue reading
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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… Continue reading
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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… Continue reading
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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… Continue reading
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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… Continue reading
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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… Continue reading
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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… Continue reading
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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… Continue reading
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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… Continue reading
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.
Recent Posts
- Bookmark: What fully automated firms will look like
- When and why to create a Product Glossary for your team
- Bookmark: I’m Not Convinced Ethical Generative AI Currently Exists
- Bookmark: The middle manager crisis: most young workers say the role is ‘high stress, low reward’
- Bookmark: RTO mandates won’t necessarily boost worker engagement — and might hurt it
Favorite sites
- Daring Fireball
Favorite podcasts
- Manager Tools