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AI Is One Of Many Tools That Can Help Achieve Operational Excellence

Leaders must guide organizations through rapid AI-driven change by providing context, maintaining trust, and prioritizing speed and customer collaboration over perfect planning; organizations should address change fatigue by simplifying work and keeping core values constant.

The digital transformation is over? The risk of continuing to innovate without knowing what needs to change | TI INSIDE Online

Translated title. Original: A transformação digital acabou? O risco de continuar inovando sem saber o que precisa mudar | TI INSIDE Online

The piece argues that digital transformation is not finished and that many organizations struggle with integrating a multitude of tools. It recommends starting with business problems, aligning architectures to AI, and pursuing cross-functional data integration and outcome-based metrics rather than adopting technology for its own sake.

A Super-Expensive Office Is No Use If the Boss Looks at Us Askance | Economx

Translated title. Original: Hiába a méregdrága iroda, ha a főnök sanda szemmel néz ránk | Economx

An office move or redesign is a long-term business and workforce decision, not just a construction project. The article says success depends on early employee involvement, clear change management, supportive workplace rules, and leaders who take workers’ concerns seriously.

Data architecture as the key for successful transformation projects | heise online

Translated title. Original: Datenarchitektur als Schlüssel für erfolgreiche Transformationsprojekte | heise online

The text argues that data architecture is central to transformation project success, highlighting three common pitfalls and the need to define data ownership, data exchange, and governance early. It explains that data quality and long-term maintainability hinge on architectural principles applied throughout the project, not just during migration.

AI Olympics: AI agents and vertical agents in competition - AI4Business

Translated title. Original: AI Olympics: AI agentica e agenti verticali in gara - AI4Business

The document argues that AI agents generate value by completing end-to-end business processes with minimal manual work and errors, but require deep domain context to scale beyond proofs of concept. It promotes vertical, sector-tailored AI agents guided by Alterna and Microsoft, using the AI Olympics metaphor to stress discipline, training, and measurement. The core idea is that success hinges on context-aware configurations and practical integration into industry-specific workflows.

For Real Performance Gains with AI, Start by Mapping Your Workflows

Many firms struggle to identify where AI adds value. A study of 515 companies suggests seeing how others redesigned processes helps locate opportunities, but four years after LLMs, adoption is growing yet productivity gains remain elusive, causing IT teams and executives to worry.

X post by clem 🤗 (@clementdelangue)

Clement Delangue argues that Nvidia’s distributed leadership and ability to adapt are strengths, despite concerns about its structure and CEO succession. He says internal leaders could guide the company forward and offers support to its employees.

Does your company want AI or just automate the mess? | TI INSIDE Online

Translated title. Original: Sua empresa quer IA ou só automatizar a bagunça? | TI INSIDE Online

Many firms deploy AI without addressing underlying processes; effective AI requires well-structured workflows and strong governance to reduce risk and realize tangible gains, illustrated by a Porsche Brasil case where process redesign and system integrations improved efficiency by 40%.

Cisco: As Cisco president Jeetu Patel has tasked a 27-year-old to rewrite 98% of Cisco’s legacy code; he admits putting a GenZ in a room with employees with decades of experience can create friction, but … - The Times of India

Cisco chief product officer Jeetu Patel is backing a 27-year-old engineer to rewrite most of Cisco's legacy code within two years, using a plan that pairs young talent with veterans to inject fresh ideas. Patel argues that deliberate friction can drive progress, and interns can act as reverse mentors, learning from their perspectives to challenge established approaches.

Artificial Sensitivity | Leader Magazine

Translated title. Original: Sensibilidade Artificial | Revista Líder

The piece argues that artificial sensitivity—the tendency of AI to agree rather than challenge—affects leadership in hybrid human–agent teams. It calls for leaders to encourage disagreement, measure accountability, and keep human judgment central as organizations adopt AI agents; Nova SBE positions itself as restoring the ability to think and disagree.