Experian’s Gen AI strategy is structured around four pillars: Products, Productivity, Platform and Governance, and Education and Adoption.
Remote work won’t die—it’s evolving. Hybrid models will dominate, with companies investing in tech and training to stay competitive. Government policies will shape adoption, but demand for flexibility remains strong, ensuring remote work’s future.
Brennan emphasizes that AI is a support tool, not a substitute for judgment. Managers are taught to verify outputs and ensure their voice and intent come through.
Associations can harness the power of Generative AI by establishing small, focused Gen AI hubs or Centers of Excellence. These hubs help integrate AI tools effectively, enhancing operations, member engagement, and fostering a culture of continuous innovation.
Generative AI isn’t arriving loudly—it’s quietly integrating into existing systems like Zoom, cybersecurity tools, and writing assistants, often unnoticed by users.
As recession fears grow, you can win the war for talent by avoiding these 7 mistakes in hiring and firing during uncertain economic times.
A core principle was to treat AI tools like new hires—evaluated, supervised, and trained—emphasizing oversight and accountability in their deployment.
Logitech views Gen AI as the most transformative development in its history, with company-wide experimentation enhancing both efficiency and creativity across departments.
Association etiquette training is a powerful tool for unifying staff and volunteers, improving communication, and fostering inclusion—crucial for navigating hybrid work and maintaining professionalism across diverse chapters and member groups.
AI tools are used to personalize experiences—like remembering resident preferences and milestones—empowering staff to deliver thoughtful, human-centric service.
The Attack on the Labor Department under the Trump administration has led to severe workforce reductions, weakened worker protections, and compromised oversight, risking public safety, fair wages, and economic stability. This ideological shift threatens American workers.
Every AI deployment undergoes rigorous legal, privacy, and information security reviews, especially in regulated domains like healthcare (HIPAA compliance).
The association culture code must evolve in the Gen AI era, fostering collaboration, inclusion, and ethical leadership. By embracing AI while upholding core values, associations can enhance engagement, streamline operations, and set industry standards for innovation.
Intentional design is the key to thriving in distributed work—organizations must proactively shape communication, connection, and leadership systems to unlock flexibility’s benefits while addressing its challenges with clarity, empathy, and purpose.
Force Office Mandates in red states prioritize political agendas over data-driven decisions, ignoring evidence that remote work boosts productivity and saves costs. This outdated approach risks high turnover and decreased efficiency, jeopardizing public sector performance.
Hands-on experimentation is the fastest, most effective way to build confidence and skills in generative AI.
Gen AI Redefines the way associations operate—automating tasks, enhancing engagement, and unlocking new efficiencies. By embracing AI, leaders can amplify human strengths like creativity and empathy, ensuring their organizations evolve and thrive in a rapidly changing world.
We are entering the third wave of generative AI adoption—where AI shifts from novelty to strategic integration, driven not just by technology, but by human behavior, change management, and the evolving role of HR as a steward of both people and intelligence.
Remote work is transforming labor relations as unions advocate for telework rights, bridging traditional and modern sectors. Landmark agreements like AWU’s and AFGE’s showcase unions’ evolving role in securing flexibility, privacy, and career equity for remote employees.
Generative AI marks a historic shift—comparable to the industrial revolution—in automating knowledge work.
Penn Mutual proves that a remote-first, people-centered strategy—grounded in culture, leadership, and adaptability—can drive success, retention, and innovation in the traditionally rigid insurance industry.
Gen AI breaks barriers by transforming associations through automation, enhancing efficiency, and boosting member engagement. Success comes from tailored training, collaboration, and showcasing early wins—proving that strategic adoption drives lasting impact.
Companies embracing remote and flexible work models are winning top talent in today’s workforce.
Gen AI in Law presents transformative opportunities but requires careful oversight. Ethical missteps, like fabricated citations, highlight the need for diligence. Firms must prioritize training, clear policies, and human verification to harness AI’s potential responsibly.
Managing people—not AI—is the true challenge in digital transformation, as human complexity, creativity, and resistance far outweigh the predictable nature of Gen AI systems.
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