Finding Your Shadow: Can Shadow IT Be Controlled?

Shadow IT poses significant risks as employees utilize unauthorized software and devices without IT oversight, leading to potential security breaches and operational inefficiencies. However, through proactive management strategies, such as fostering communication and transferring applications to secure environments, companies can mitigate these risks while enhancing innovation and operational efficiency.

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10 Movies Every Leader Should Watch

Anne Morriss and Frances Frei suggest ten films that teach valuable leadership lessons, emphasizing the importance of focusing on others’ successes. Their selections include classics like “Henry V,” “Hidden Figures,” and “Remember the Titans,” each providing insights on leadership challenges and collaboration while drawing on the power of storytelling through cinema.

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Mega Companies: Superstars or Super Villains?

South Korea’s economic growth from 1972 to 2011 illustrates that large firms, like Samsung and Hyundai, significantly supported GDP and welfare, contrary to the common perception of them stifling competition. The study reveals that their size contributed to innovation and market efficiency, with modest price increases over time, thus providing valuable insights for antitrust policies.

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Could More Human-Like AI Undermine Trust?

The perception of agency in modern AI significantly influences human trust. While AI systems with high perceived agency may inspire trust due to their decision-making capabilities, they also evoke concerns about betrayal if they fail. Developers must balance agency perception to foster appropriate trust levels, making transparency crucial in managing user expectations.

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Why Artificial Integrity is a Leadership Challenge

Warren Buffett’s hiring principle emphasizes the importance of integrity, which extends to AI systems. Unlike deterministic tools, AI learns and evolves, necessitating integrity embedded within its design. As AI’s roles grow, ensuring fairness and ethical standards is crucial to prevent societal harms, making leadership in AI integrity a key challenge for a better future.

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Why IT Leaders Should Hire Veterans for Cybersecurity Roles

The article emphasizes the significance of veterans in cybersecurity roles, highlighting their unique skills from military training, such as combating advanced threats and adapting to adversity. Veterans’ strong teamwork, mission-focused mindset, and commitment to a greater cause make them ideal for cybersecurity positions, ultimately benefiting IT leaders and enhancing security operations.

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What Could the Trump Administration Mean for Cybersecurity?

The 2024 US presidential election raises questions about the future of cybersecurity under a potential second Trump administration. Experts suggest significant changes to CISA, a rollback of cybersecurity regulations, and less oversight on AI development may occur. Additionally, a more aggressive stance on nation-state cyber threats is anticipated, particularly towards China and Russia.

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How Can Chinese EV Brands Grow Globally?

Chinese electric vehicle (EV) manufacturers are facing significant import taxes in the US and EU, which may hinder their global growth. To thrive, they should focus on innovative technology, adapt to local markets, form partnerships, and experiment with diverse business models. Building quality and consumer awareness must remain a priority amid geopolitical challenges.

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How To Get the Most Out of a Diverse Board

The study examined how board diversity influences innovation, distinguishing between deep-level and surface-level diversity. It found deep-level diversity positively affects innovation, whereas surface-level diversity may hinder it without supportive social structures. Effective formal and informal connections between board members and CEOs can enhance innovation by leveraging diverse perspectives and reducing conflicts.

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The Intellectual Property Risks of GenAI

The rapid adoption of Generative AI presents both advantages and risks for businesses, particularly concerning intellectual property (IP) rights. Companies must navigate potential copyright, trademark, patent, and trade secret infringements while lacking comprehensive legal guidance. Engaging in proactive discussions and updating policies regarding AI usage is essential to mitigate these risks effectively.

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Leading with care

Caring Leadership® promotes empathy and support towards employees, addressing disengagement and fostering productivity. Heather Younger emphasizes nine key behaviors, including whole-person leadership, psychological safety, and employee empowerment, aimed at creating a positive work culture. Effective communication and genuine listening enhance employee morale, driving organizational success and resilience.

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Jumping the IT Talent Gap: Cyber, Cloud, and Software Devs

Many organizations confront significant IT skills gaps, especially in cybersecurity, cloud, and software development. A survey reveals that only a third of executives fully understand these gaps. Emphasizing upskilling as a cost-effective solution, experts suggest creating a culture of learning and offering flexibility to attract and retain talent in a competitive environment.

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Emmanuel Macron On AI: We Are Regulating Ourselves Out Of The Market

French President Macron highlights the dangers of over-regulation and underinvestment in AI, stressing the need for a balanced approach that fosters innovation while addressing societal values. Key considerations include ensuring transparency, avoiding impractical regulations, and focusing on the usage of AI rather than the technology itself, to maintain competitive edge in the global market.

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The hidden costs of AI: How generative models are reshaping corporate budgets

Companies embracing generative AI face rising computing costs that could hinder innovation. A report from IBM indicates an 89% increase in computing costs by 2025, affecting executives and their AI projects. Strategies like hybrid cloud solutions and efficient coding practices are suggested for managing expenses, emphasizing the importance of sustainability and cost-effectiveness in AI deployment.

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