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The Executive's Guide to AI: Understanding Narrow, General and Super Intelligence. ARTIFICIAL INTELLIGENCE
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- FormatePub
- ISBN8232297503
- EAN9798232297503
- Date de parution31/10/2025
- Protection num.pas de protection
- Infos supplémentairesepub
- ÉditeurHamza elmir
Résumé
AI isn't a buzzword-it's a revolution. But for executives, the jargon (Narrow, General, Super Intelligence) can feel like a foreign language. The Executive's Guide to AI: Understanding Narrow, General, and Super Intelligence cuts through the noise to empower leaders. What You'll Master:- Narrow AI: Today's tools (chatbots, algorithms, automation). How to deploy them safely, ethically, and profitably.- General AI (AGI): The hypothetical "human-level" AI.
Prepare for its arrival: workforce shifts, regulation, and existential questions.- Super Intelligence: The sci-fi frontier. Mitigate risks, shape governance, and avoid dystopian scenarios.- Strategy: Align AI with business goals. Balance innovation and risk.- Ethics: Tackle bias, transparency, and job displacement.- Roadmap: Build AI literacy in your team. Hire the right talent. Future-proof your organization.
Real-World Applications:- Finance: Fraud detection, algorithmic trading, personalized banking.- Healthcare: Diagnostics, drug discovery, patient care.- Retail: Predictive inventory, chatbots, hyper-personalization.- Manufacturing: Predictive maintenance, smart factories, supply chains. Why It Matters:- 70% of AI projects fail without C-suite buy-in.- Governments are crafting AI laws-don't be left behind.- Talent wars are heating up: data scientists, ethicists, and translators (tech ? business).- The "first mover" advantage clashes with "safety-first" caution.
This isn't tech theory-it's a survival guide. Written for CEOs, CTOs, board members, and innovators, this ebook blends expert insights, case studies, and actionable steps. No coding required. Outcome: Confident decisions. Reduced risk. Competitive edge. Clarity on AI's promise and peril. Audience: Executives, entrepreneurs, policymakers, and tech leaders. Takeaway: AI is inevitable. Mastery isn't optional.
Prepare for its arrival: workforce shifts, regulation, and existential questions.- Super Intelligence: The sci-fi frontier. Mitigate risks, shape governance, and avoid dystopian scenarios.- Strategy: Align AI with business goals. Balance innovation and risk.- Ethics: Tackle bias, transparency, and job displacement.- Roadmap: Build AI literacy in your team. Hire the right talent. Future-proof your organization.
Real-World Applications:- Finance: Fraud detection, algorithmic trading, personalized banking.- Healthcare: Diagnostics, drug discovery, patient care.- Retail: Predictive inventory, chatbots, hyper-personalization.- Manufacturing: Predictive maintenance, smart factories, supply chains. Why It Matters:- 70% of AI projects fail without C-suite buy-in.- Governments are crafting AI laws-don't be left behind.- Talent wars are heating up: data scientists, ethicists, and translators (tech ? business).- The "first mover" advantage clashes with "safety-first" caution.
This isn't tech theory-it's a survival guide. Written for CEOs, CTOs, board members, and innovators, this ebook blends expert insights, case studies, and actionable steps. No coding required. Outcome: Confident decisions. Reduced risk. Competitive edge. Clarity on AI's promise and peril. Audience: Executives, entrepreneurs, policymakers, and tech leaders. Takeaway: AI is inevitable. Mastery isn't optional.
AI isn't a buzzword-it's a revolution. But for executives, the jargon (Narrow, General, Super Intelligence) can feel like a foreign language. The Executive's Guide to AI: Understanding Narrow, General, and Super Intelligence cuts through the noise to empower leaders. What You'll Master:- Narrow AI: Today's tools (chatbots, algorithms, automation). How to deploy them safely, ethically, and profitably.- General AI (AGI): The hypothetical "human-level" AI.
Prepare for its arrival: workforce shifts, regulation, and existential questions.- Super Intelligence: The sci-fi frontier. Mitigate risks, shape governance, and avoid dystopian scenarios.- Strategy: Align AI with business goals. Balance innovation and risk.- Ethics: Tackle bias, transparency, and job displacement.- Roadmap: Build AI literacy in your team. Hire the right talent. Future-proof your organization.
Real-World Applications:- Finance: Fraud detection, algorithmic trading, personalized banking.- Healthcare: Diagnostics, drug discovery, patient care.- Retail: Predictive inventory, chatbots, hyper-personalization.- Manufacturing: Predictive maintenance, smart factories, supply chains. Why It Matters:- 70% of AI projects fail without C-suite buy-in.- Governments are crafting AI laws-don't be left behind.- Talent wars are heating up: data scientists, ethicists, and translators (tech ? business).- The "first mover" advantage clashes with "safety-first" caution.
This isn't tech theory-it's a survival guide. Written for CEOs, CTOs, board members, and innovators, this ebook blends expert insights, case studies, and actionable steps. No coding required. Outcome: Confident decisions. Reduced risk. Competitive edge. Clarity on AI's promise and peril. Audience: Executives, entrepreneurs, policymakers, and tech leaders. Takeaway: AI is inevitable. Mastery isn't optional.
Prepare for its arrival: workforce shifts, regulation, and existential questions.- Super Intelligence: The sci-fi frontier. Mitigate risks, shape governance, and avoid dystopian scenarios.- Strategy: Align AI with business goals. Balance innovation and risk.- Ethics: Tackle bias, transparency, and job displacement.- Roadmap: Build AI literacy in your team. Hire the right talent. Future-proof your organization.
Real-World Applications:- Finance: Fraud detection, algorithmic trading, personalized banking.- Healthcare: Diagnostics, drug discovery, patient care.- Retail: Predictive inventory, chatbots, hyper-personalization.- Manufacturing: Predictive maintenance, smart factories, supply chains. Why It Matters:- 70% of AI projects fail without C-suite buy-in.- Governments are crafting AI laws-don't be left behind.- Talent wars are heating up: data scientists, ethicists, and translators (tech ? business).- The "first mover" advantage clashes with "safety-first" caution.
This isn't tech theory-it's a survival guide. Written for CEOs, CTOs, board members, and innovators, this ebook blends expert insights, case studies, and actionable steps. No coding required. Outcome: Confident decisions. Reduced risk. Competitive edge. Clarity on AI's promise and peril. Audience: Executives, entrepreneurs, policymakers, and tech leaders. Takeaway: AI is inevitable. Mastery isn't optional.





















