The key insights from this article are that AI can be used by managers and leaders to make their employees’ work more enjoyable and to arm them with real-time market insights for confident decision-making. It is important to put humans at the center and prioritize the human side of innovation alongside technology. Establishing responsible AI governance and ensuring fairness and transparency in AI decisions is crucial. AI can drive innovation and profits while enabling people to do their best work, rather than substituting talent. read more >
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 … read more >
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. read more >
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 … read more >
“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
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. read more >
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. … read more >
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. read more >
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 … read more >
“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
