EU's AI code mandates companies disclose training data and respect copyright, facing fines up to 7% of revenue for noncompliance. Guidelines aim to help tech giants like OpenAI and Google follow the AI Act, which includes transparency about model development and safety measures.
https://www.techspot.com/news/108644-europe-ai-code-urges-companies-disclose-training-data.html
European Commission publishes final General-Purpose AI Code of Practice, aimed at governing AI operations ahead of the EU AI Act's August rules. Code is voluntary, offering compliance benefits like reduced administrative burden. It addresses safety, transparency, and copyright obligations, developed with input from 1,000+ stakeholders. Debate continues on its effectiveness and regulatory burden, with companies expressing concerns over its prescriptiveness and need for implementation time. Official endorsement from member states is next, allowing organizations to voluntarily comply.
TLDR: Time management as a manager differs from being an individual contributor. Key changes include juggling priorities, focusing on team output, and adapting to a manager’s schedule. Managers must set realistic expectations, prioritize tasks, delegate effectively, and create focused time for deep work. In overwhelming situations, follow a checklist to triage tasks and manage workload.
Outdated financial theories like Modern Portfolio Theory (MPT) fail to address pressing systemic risks such as climate change and social inequality. CIOs must shift to system-level investing, recognizing the interconnectedness of portfolio performance and systemic health. Traditional metrics focus on short-term outcomes and overlook the feedback loops essential for sustainable investment. A new approach is needed that emphasizes the influence of investments on overall systems, fostering resilience and long-term value creation.
CIOs are enhancing change management to boost generative AI adoption and business value. Companies like Principal Financial Group and Liberty Mutual emphasize education, collaboration, and culture shifts. Research indicates that effective change strategies address employee trust and skill gaps, while CIOs are seen as key change agents. Innovations include structured training programs, collaborative workflows, and grassroots influencer approaches, enabling organizations to adapt and experiment with AI, ultimately improving productivity and fostering a culture of innovation.
https://www.cio.com/article/4016354/cios-tackle-the-ai-change-management-challenge.html
TLDR: IT tickets are outdated and hinder productivity in modern enterprises. They slow down response times and create inefficiencies. The future demands proactive solutions using agentic AI and automation to resolve issues before they escalate. This involves reimagining service delivery, focusing on automation of repetitive tasks, integrating AI for intelligent decision-making, and allowing human agents to concentrate on higher-level strategic tasks. By transitioning to this model, organizations can enhance productivity, reduce incident resolution times, and align IT outcomes with business goals.
https://www.cio.com/article/4018133/its-time-to-retire-the-ticket-an-it-roadmap-for-agentic-ai.html
Businesses should initiate AI projects with caution, focusing on clear goals like efficiency or competitive advantage. They need to consider their current capabilities, data quality, and potential risks involved. Smaller firms may struggle without necessary personnel or adequate infrastructure. It’s essential to evaluate AI opportunities, prioritize tasks, and prepare for organizational changes, ensuring proper training and change management. Ultimately, selecting a well-defined proof of concept can aid in navigating the complexities of AI implementation.
CISO Jill Knesek shares insights from her FBI experience applied to safeguarding financial data. She emphasizes that finance teams are vulnerable to cyber threats due to their access to sensitive data and often insufficient awareness of cyber risks. Effective cybersecurity demands a comprehensive business approach, involving training, robust financial controls, and addressing third-party risks. Communication of cyber risks in business terms is crucial for stakeholder engagement, while AI tools offer both opportunities and new threats, necessitating careful implementation. Knesek advises aspiring cybersecurity professionals to leverage diverse experiences, focusing on the human element's importance in security strategies.
AI adoption is reshaping business and increasing risks, requiring a shift in cybersecurity to focus on human factors. Traditional security methods are insufficient as threats exploit human cognitive weaknesses. New scenarios include deepfake impersonation and misinformation. Addressing these risks involves enhancing cognitive awareness, establishing verification protocols, regulating AI use, mapping cognitive risks, and preparing response teams. A cultural shift in organizations is essential for proactive AI risk management, integrating technology with human capabilities for comprehensive cybersecurity.
https://www.rsm.global/france/en/insights/yuksel-aydin-cybersecurity-ai-human-centered-approach
Goldman Sachs CIO Marco Argenti emphasizes the need to prepare “AI natives” who, familiar with AI tools, will lead the evolution of work alongside AI. As agentic AI enables independent, decision-making agents, the next workforce generation, raised with this technology, is essential for collaboration. While junior roles may adjust, these AI natives will be pivotal due to their adaptability and understanding of AI’s capabilities. The challenge involves training this new talent in managing AI while ensuring experienced supervision remains crucial for quality control in a rapidly changing landscape dominated by AI. The transition demands not just technological, but cultural and managerial adjustments as organizations restructure roles and workflows around AI integration.
https://fortune.com/2025/07/03/goldman-sachs-cio-ai-natives-future-of-work/
