To attain knowledge, add things everyday. To attain wisdom, remove things every day. Lao Tse #Wisdom #KNOWLEDGE #lifelessons #HappyNewYear #HappyNewYear2023

Elon Musk: read broadly, align what you are good at and what you like to do, and do your best to live a useful life

IT delivery is moving toward human–AI integration. With 75% of work augmented and 25% automated by 2030, leaders must redesign roles, skills and governance because execution will depend on orchestration, not headcount. Source @Gartner_inc via @antgrasso

📍 AI risk perception is not aligned. It is structurally disconnected between leadership and reality. As EY highlights, consumers consistently report significantly higher concern across key AI risks than CxOs. This is not a communication gap. It reflects a deeper mismatch in how risk is understood and governed. 1️⃣ Authority Blind Spot: Leadership underestimates exposure across critical areas like accountability, security, and privacy. Decision authority exists without full risk visibility. 2️⃣ Governance Gap: Risk frameworks are designed top-down, but do not reflect how AI is experienced externally. This creates a disconnect between policy and real-world impact. 3️⃣ Trust Risk: As AI scales, this misalignment compounds. Organizations optimize for internal control while external trust erodes. This is why responsible AI efforts fail to build confidence despite heavy investment. The real challenge is not managing AI risk internally. It is aligning leadership perception with external reality before trust breaks. via EY ey.com/en_gl/insights/ai/how… @corixpartners @Transform_Sec @Corix_JC @ILoveBooks786 @COSTESLionelEr @ramonvidall @RLDI_Lamy @FrRonconi @timo_vi @Nicochan33 @NathaliaLeHen @TCyberCast @arigatou163 @VivMilanoFSL @MathildaLoco @faryus88 @bbailey39 @BindIdeas971 @FmFrancoise @DonaldGavis @ricardo_ik_ahau @sulefati7 @ozsilverfox @BCAgroup @O_Berard @DavidTaboada @yd_engoue @Hajer_Alqassimi @Evanskipropcrim @Howie7951 @iamtunslaw @gvalan @EduFirst @luengo1958 @hindu_in_middle @dinisguarda

The journey from mainframes to Web3 and the Spatial Web reveals how technology has advanced from machines designed for work tasks to an intelligent and interconnected environment that integrates digital, social, and physical dimensions. RT @antgrasso

🚀 LIVE FROM SPACE: President Donald J. Trump Calls Artemis II Astronauts After Breaking the Farthest Distance Record in Human Spaceflight 🇺🇸 HISTORIC! "Your mission paves the way for America's return to the lunar surface very soon."

The coolest people I know: 1 have great manners 2 remember and use people's names 3 show up on time 4 are lifelong students 5 listen with interest 6 do not respond to negativity 7 eat last 8 mentor and sponsor 9 give without expecting a get 10 talk less, but say more 11 are supportive truth tellers 12 practice random acts of kindness 13 are pragmatic optimists 14 forgive first 15 seek random collisions 16 do not brag 17 show high integrity and benevolence 18 tip well 19 hold doors open longer 20 make us laugh loudly

📍 AI adoption is not transformation. It is exposure of where authority has not moved. As EY highlights, nearly 90% of employees use AI and report saving hours weekly. Yet usage is concentrated in search, summarization, and drafting, not in decision-making or judgment. 1️⃣ Authority Shift: AI is embedded in execution tasks, not decision layers. Control remains human-centered where it matters most. 2️⃣ Structural Blind Spot: Leaders equate usage with progress. But decision rights, governance, and accountability structures remain unchanged. 3️⃣ Scaling Constraint: High-value applications like evaluation, research, and judgment lag because organizations have not redesigned who or what is allowed to decide. This is why adoption scales faster than impact. The real divide is not who uses AI. It is which decisions the organization is willing to let AI shape. via EY ey.com/en_gl/insights/workfo… @corixpartners @Transform_Sec @Corix_JC @ILoveBooks786 @COSTESLionelEr @ramonvidall @RLDI_Lamy @FrRonconi @timo_vi @Nicochan33 @NathaliaLeHen @TCyberCast @arigatou163 @VivMilanoFSL @MathildaLoco @faryus88 @bbailey39 @BindIdeas971 @FmFrancoise @EduFirst @rameshambastha @DonaldGavis @ricardo_ik_ahau @sulefati7 @ozsilverfox @BCAgroup @9SManagement @O_Berard @DavidTaboada @yd_engoue @giuliog @Hajer_Alqassimi @EdwardHarkins @Evanskipropcrim @ranya_artistry @Howie7951 @iamtunslaw @gvalan

Even in darkness, we glow. In this image of Earth taken by the Artemis II crew, we can see the electric lights of human activity. In the lower right, sunlight illuminates the limb of the planet.

📍 Most leaders think AI advantage comes from technology adoption. The real shift is that it comes from how organizations redesign talent systems. As EY highlights, AI advantage is built across five dimensions: talent flow, adoption excellence, capability development, culture transformation, and reward systems. This is not an HR agenda. It is an operating model redesign. 1️⃣ Talent Implication: AI changes how work is done, but most organizations keep roles static. Talent systems are not aligned with AI-driven workflows. 2️⃣ Structural Blind Spot: Firms invest in tools and training, but ignore incentives, career paths, and talent mobility. Skills improve. utilization does not. 3️⃣ Design Challenge: AI advantage requires integrating talent, workflows, and decision systems. Without this, capability remains fragmented across functions. This is why AI investments fail to compound. Talent systems are not built to support how work is evolving. The real advantage is not access to AI. It is how your organization develops, deploys, and scales talent around it. via EY ey.com/en_gl/insights/workfo… @corixpartners @Transform_Sec @Corix_JC @ILoveBooks786 @COSTESLionelEr @ramonvidall @RLDI_Lamy @FrRonconi @timo_vi @Nicochan33 @NathaliaLeHen @TCyberCast @arigatou163 @VivMilanoFSL @MathildaLoco @faryus88 @bbailey39 @BindIdeas971 @FmFrancoise @EduFirst @rameshambastha @DonaldGavis @ricardo_ik_ahau @sulefati7 @ozsilverfox @BCAgroup @9SManagement @O_Berard @DavidTaboada @yd_engoue @giuliog @Hajer_Alqassimi @EdwardHarkins @Evanskipropcrim @ranya_artistry @Howie7951 @iamtunslaw @gvalan

⚡ Most leaders think scaling AI is about deploying more use cases. The real shift is building a system that connects strategy, architecture, and execution. As Roland Berger highlights, high-performing organizations do not scale AI through isolated initiatives. They build an integrated model across people, technology, and business operations. 1️⃣ Orchestration Stack: AI is not layered across functions. It is coordinated through a unified architecture connecting data, workflows, and systems. 2️⃣ Governance Model: Autonomy is enabled, not restricted. Control is embedded into platforms so execution can scale without bottlenecks. 3️⃣ Organizational Design: AI scales through a hybrid workforce. Skills, roles, and capabilities are redesigned to work alongside intelligent systems. Most organizations scale activity. Very few scale systems. The real challenge is not expanding AI use. It is aligning the organization to run it end-to-end. via Roland Berger Why AI deployment is outpacing value realization – and how organizations can close the gap rolandberger.com/en/Insights… @corixpartners @Transform_Sec @Corix_JC @ILoveBooks786 @COSTESLionelEr @ramonvidall @RLDI_Lamy @FrRonconi @timo_vi @Nicochan33 @NathaliaLeHen @TCyberCast @arigatou163 @VivMilanoFSL @MathildaLoco @faryus88 @bbailey39 @BindIdeas971 @FmFrancoise @EduFirst @rameshambastha @DonaldGavis @ricardo_ik_ahau @sulefati7 @ozsilverfox @BCAgroup @geginlljin88 @9SManagement @O_Berard @1MortalMan @DavidTaboada @yd_engoue @MoneyPrinter0x @giuliog @toritonga @Hajer_Alqassimi @oevl @EdwardHarkins @harbi_nh

Liftoff. The Artemis II mission launched from @NASAKennedy at 6:35pm ET (2235 UTC), propelling four astronauts on a journey around the Moon. Artemis II will pave the way for future Moon landings, as well as the next giant leap — astronauts on Mars.

⚡ Most leaders think AI ROI is a timing issue. The real shift is an operating model issue. As Deloitte highlights, organizations expect measurable returns from AI within 1–3 years, yet agentic AI timelines stretch further. This is not a maturity gap. It is a design gap in how organizations deploy decision-making. 1️⃣ Authority Shift: AI compresses decision cycles, but authority structures remain slow and layered. Speed increases. control does not. 2️⃣ Governance Gap: Early ROI appears in contained use cases. Scaling fails because ownership, accountability, and decision rights are undefined. 3️⃣ Scaling Constraint: Agentic AI delays ROI not due to capability, but because organizations have not redesigned workflows around autonomous execution. The real constraint is not when AI delivers value. It is whether your organization is structured to capture it. via Deloitte deloitte.com/global/en/insig… @corixpartners @Transform_Sec @Corix_JC @ILoveBooks786 @COSTESLionelEr @ramonvidall @RLDI_Lamy @FrRonconi @timo_vi @Nicochan33 @NathaliaLeHen @TCyberCast @arigatou163 @VivMilanoFSL @sonu_monika @MathildaLoco @faryus88 @bbailey39 @BindIdeas971 @FmFrancoise @EduFirst @rameshambastha @DonaldGavis @ricardo_ik_ahau @sulefati7 @ozsilverfox @BCAgroup @geginlljin88 @9SManagement @O_Berard @1MortalMan @DavidTaboada @ParaSureTech @sphinx4crypto @yd_engoue @MoneyPrinter0x @giuliog @toritonga @Hajer_Alqassimi @oevl

⚡ Most leaders think AI success comes from better models. The real shift is how organizations are engineered to run AI at scale. As Roland Berger highlights, top performers do not deploy AI as isolated tools. They redesign ownership, integration, and governance as a system. 1️⃣ Ownership Model: High performers orchestrate hybrid capabilities but retain control of core logic. They buy leverage, not dependency. 2️⃣ Governance Shift: Risk is embedded into platforms, not managed through approvals. The safest path becomes the fastest path. 3️⃣ Organizational Design: Standards are centralized but innovation is distributed. Execution is federated, not siloed. The real advantage is not using AI. It is industrializing it. via Roland Berger media.licdn.com/dms/document… @corixpartners @Transform_Sec @Corix_JC @ILoveBooks786 @COSTESLionelEr @ramonvidall @RLDI_Lamy @FrRonconi @timo_vi @Nicochan33 @NathaliaLeHen @TCyberCast @arigatou163 @VivMilanoFSL @sonu_monika @MathildaLoco @faryus88 @bbailey39 @BindIdeas971 @FmFrancoise @EduFirst @rameshambastha @DonaldGavis @ricardo_ik_ahau @sulefati7 @ozsilverfox @BCAgroup @geginlljin88 @9SManagement @O_Berard @1MortalMan @DavidTaboada @ParaSureTech @sphinx4crypto @yd_engoue @MoneyPrinter0x @giuliog @toritonga @Hajer_Alqassimi @oevl

The Mag 7 stocks ended a rough quarter on a high note. 🚀yhoo.it/4t2S5U9

The person you will be in 5 years depends on: • books or articles you read • how much more you write • money you save and invest • who you work with • friends you spend time with • new skills you develop • the food you eat • amount of exercise you do • how much sleep per day • asking for help when you’re stuck • connections you make and keep • promises you make and keep • where and how far you travel • doors you open for others • knowing when to leave • new habits you develop • quitting the stuff that holds you back

📍 AI adoption is not scaling. It is stalling inside organizational design. As McKinsey highlights, 88% of organizations now use AI in at least one function. But only a small fraction have fully scaled it. This is not a capability gap. It is an operating model constraint. 1️⃣ Authority Shift: AI starts in functions, but scaling requires cross-functional control. Most organizations never reassign decision rights, so AI remains trapped in silos. 2️⃣ Governance Gap: Pilots succeed because they sit outside core processes. Scaling fails because ownership, accountability, and workflow integration are undefined at the enterprise level. 3️⃣ Scaling Constraint: 63% of organizations are still experimenting or piloting. This is not caution. It is structural inertia where incentives, reporting lines, and budgets are misaligned. This is why adoption rises while impact plateaus. The technology moves forward. The organization does not. The real bottleneck is not AI capability. It is who has the authority to redesign how work actually gets done. Where does ownership of AI sit in your organization today? via McKinsey & Company mckinsey.com/capabilities/qu… @corixpartners @Transform_Sec @Corix_JC @ILoveBooks786 @COSTESLionelEr @ramonvidall @RLDI_Lamy @FrRonconi @timo_vi @Nicochan33 @NathaliaLeHen @TCyberCast @arigatou163 @VivMilanoFSL @bulbi59 @BulbiT3ch @sonu_monika @MathildaLoco @faryus88 @bbailey39 @BindIdeas971 @FmFrancoise @quepasachico @sustainrach @iamtunslaw @EduFirst @rameshambastha @DonaldGavis @ricardo_ik_ahau @sulefati7 @ozsilverfox @i_gestio13730 @BCAgroup @kkruse @9SManagement @O_Berard @1MortalMan @DavidTaboada @ParaSureTech @x_xm19737 @nao77k

⚡ Most leaders think the AI investment race is about budget. The real divide is about operating model redesign. McKinsey's Global Tech Agenda 2026 surveyed 632 C-suite and technology leaders. The widest performance gap between top performers and others is not in AI spend. It is in transforming talent management and redesigning the technology operating model. Top performers are not just spending more on AI. They are restructuring how their organizations are built around it. 1️⃣ Competitive Shift: Top-performing organizations lead most significantly on talent transformation and operating model redesign, not on infrastructure or architecture. The performance advantage is organizational, not technical. 2️⃣ Structural Blind Spot: Most organizations prioritize visible investments: AI tools, cybersecurity, infrastructure. The harder work of redefining roles, sourcing models, and operating structures receives secondary attention and secondary budget. 3️⃣ Strategic Risk: Organizations that fund AI without redesigning the operating model around it are building capability on top of a structure that cannot use it. The gap between top performers and others will widen every cycle they delay the redesign. AI investment without operating model redesign is not a strategy. It is a spend plan. via McKinsey Global Tech Agenda 2026 mckinsey.com/capabilities/mc… @corixpartners @Transform_Sec @Corix_JC @ILoveBooks786 @COSTESLionelEr @ramonvidall @RLDI_Lamy @FrRonconi @timo_vi @Nicochan33 @NathaliaLeHen @TCyberCast @arigatou163 @VivMilanoFSL @bulbi59 @BulbiT3ch @sonu_monika @MathildaLoco @faryus88 @bbailey39 @BindIdeas971 @FmFrancoise @quepasachico @sustainrach @iamtunslaw @EduFirst @rameshambastha @DonaldGavis @ricardo_ik_ahau @sulefati7 @ozsilverfox @i_gestio13730 @BCAgroup @kkruse @9SManagement @O_Berard @1MortalMan @DavidTaboada @ParaSureTech

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Avec RBO, gagnez du temps et contrôlez vos finances en toute sécurité. #Rawbank #RDC #Audeladunebanque

🅵 Leadership Féminin : le Pari Stratégique de Rawbank 🅵 Rawbank, banque commerciale basée à Kinshasa, revendique une place centrale dans le paysage bancaire congolais : plus de 500 000 clients, une centaine d’agences, 1 900 collaborateurs et une présence dans 19 provinces. Elle détient plus de 30 % de parts de marché et s’impose comme un acteur majeur du financement de l’économie en République démocratique du Congo. Dans ce contexte, l’inclusion économique des femmes apparaît à la fois comme un enjeu social et un levier de performance. À travers deux programmes complémentaires –She Leads, destiné aux collaboratrices de la banque, et Lady’s First, tourné vers les entrepreneuses –, Rawbank entend faire du leadership féminin un moteur de transformation interne et de croissance économique. 🅵 En Savoir Ici → forbesafrique.com/leadership… 🅵 Retrouvez Ici l'Édition ForbesWomen Afrique → buy.stripe.com/28E8wQbTddc7c… #ForbesAfrique #forbesafriquewomen #brandvoice #Rawbank #LeadershipFéminin #RDC #prgorammes #SheLeads #LadysFirst