The Executive's Guide to AI: Understanding Narrow, General and Super Intelligence (ARTIFICIAL INTELLIGENCE) (eBook, ePUB)
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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, ...
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.
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.
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