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The EU AI Act: What You Need to Know

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EU AI Act Summary: The EU AI Act, adopted by the European Parliament, regulates AI development and use, balancing adoption with individual rights. It categorizes AI risks as unacceptable, high, and low/minimal. Unacceptable risks, like harmful subliminal influences, are banned. High-risk systems must comply with strict standards, while low-risk systems face fewer regulations. The Act will gradually implement over time, with measures including prohibitions on risky systems, establishment of national AI regulatory sandboxes, and guidance on high-risk categories. Organizations must assess and document their AI systems regarding these classifications.

https://kpmg.com/dk/en/ai/the-eu-ai-act-what-you-need-to-know.html

The General-Purpose AI Code of Practice

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EU's General-Purpose AI Code of Practice, published July 10, 2025, aids industry compliance with AI Act on safety, transparency, and copyright. It's voluntary for AI model providers, offering legal certainty and reduced administrative burdens. The code includes chapters on Transparency, Copyright, and Safety, applicable to advanced models with systemic risks. Providers can sign the code to demonstrate compliance.

https://digital-strategy.ec.europa.eu/en/policies/contents-code-gpai

Why CIOs Must Build the Infrastructure That Makes AI Drive Revenue

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CIOs must develop robust infrastructure to leverage AI for driving revenue, transforming their role from IT leaders to strategic growth architects. Despite high confidence in AI, many organizations struggle with disconnected revenue processes and poor data trustworthiness. CIOs are tasked with creating integrated systems that automate workflows, harness data context, and ensure governance, enabling AI to provide reliable insights. The rise of the “Revenue Architect” role reflects this shift, emphasizing unified data management and strategic workflow design to optimize AI's effectiveness in revenue generation.

https://www.intelligentcio.com/north-america/2025/07/11/why-cios-must-build-the-infrastructure-that-makes-ai-drive-revenue/

Europe’s AI Code Urges Companies to Disclose Training Data and Avoid Copyright Violations

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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 Receives Final Version of General-Purpose AI Code of Practice

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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.

https://iapp.org/news/a/european-commission-receives-final-version-of-general-purpose-ai-code-of-practice

Advice for Time Management as a Manager

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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.

https://www.benkuhn.net/tmgr/

Outdated Financial Theory Is Failing Us All: What CIOs Must Rethink About Risk, Return and Resilience

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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.

https://www.ai-cio.com/news/outdated-financial-theory-is-failing-us-all-what-cios-must-rethink-about-risk-return-and-resilience/

CIOs Tackle the AI Change Management Challenge

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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

It’s Time to Retire the Ticket: An IT Roadmap for Agentic AI

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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

How Should Businesses Kick Off Their AI Initiatives? Time for the AI Advice Column

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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.

https://diginomica.com/how-should-businesses-kick-their-ai-initiatives-time-ai-advice-column-your-doctors-are

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