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AI Mistakes That Could Cost You Everything: AI Mistakes to avoid at all cost
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AI Mistakes That Could Cost You Everything: AI Mistakes to avoid at all cost in Chattanooga, TN
Current price: $18.95
Barnes and Noble
AI Mistakes That Could Cost You Everything: AI Mistakes to avoid at all cost in Chattanooga, TN
Current price: $18.95
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AI Mistakes That Could Cost You Everything: Avoid the Critical Errors That Put Your Business, Data, and Reputation at Risk
Artificial Intelligence is no longer on the horizon-it's here, woven into everyday business operations from marketing and HR to finance, legal, and customer service. The problem?
Most companies are adopting AI without understanding the hidden risks.
What looks like innovation can quickly turn into financial loss, compliance violations, reputational damage, and even lawsuits.
In
AI Mistakes That Could Cost You Everything
, cybersecurity strategist
Eric LeBouthillier
delivers a practical, no-nonsense guide to the
10 most dangerous AI mistakes businesses make-and how to avoid them before it's too late
Drawing from real-world cases across small businesses and large enterprises, this book reveals how seemingly harmless choices-like trusting AI output without oversight or pasting sensitive data into public tools-can snowball into disasters. More importantly, it shows you the
tactical fixes, policies, and safeguards
you can put in place today to protect your team and your reputation.
✅ Inside, you'll learn how to:
Spot the
red flags
of untrustworthy AI output before it damages your business.
Prevent
data leaks and compliance violations
when using public AI platforms.
Build a clear
AI governance policy
to guide your team's usage.
Avoid the dangers of
unchecked automation
in hiring, lending, pricing, and support.
Stop publishing
AI-generated content without QA
that could expose you to legal or brand risks.
Detect and reduce
bias and inaccuracy
that creep into AI-driven decisions.
Shine a light on
shadow AI
-unauthorized tools quietly spreading across teams.
Set smarter limits on
chatbots and virtual agents
so customers get empathy, not robotic frustration.
Vet your
AI vendors
with security and compliance checklists.
Create a
recovery plan
for inevitable AI failures so you can respond quickly and protect trust.
✅ Real-World Case Studies
Every chapter includes concrete examples: an AI-generated financial report that misled investors, a leaked internal memo that surfaced in another user's query, biased loan approvals that triggered lawsuits, and botched customer service exchanges that went viral on social media. These stories show exactly
what went wrong, what it cost, and how it could have been prevented
.
Artificial Intelligence is no longer on the horizon-it's here, woven into everyday business operations from marketing and HR to finance, legal, and customer service. The problem?
Most companies are adopting AI without understanding the hidden risks.
What looks like innovation can quickly turn into financial loss, compliance violations, reputational damage, and even lawsuits.
In
AI Mistakes That Could Cost You Everything
, cybersecurity strategist
Eric LeBouthillier
delivers a practical, no-nonsense guide to the
10 most dangerous AI mistakes businesses make-and how to avoid them before it's too late
Drawing from real-world cases across small businesses and large enterprises, this book reveals how seemingly harmless choices-like trusting AI output without oversight or pasting sensitive data into public tools-can snowball into disasters. More importantly, it shows you the
tactical fixes, policies, and safeguards
you can put in place today to protect your team and your reputation.
✅ Inside, you'll learn how to:
Spot the
red flags
of untrustworthy AI output before it damages your business.
Prevent
data leaks and compliance violations
when using public AI platforms.
Build a clear
AI governance policy
to guide your team's usage.
Avoid the dangers of
unchecked automation
in hiring, lending, pricing, and support.
Stop publishing
AI-generated content without QA
that could expose you to legal or brand risks.
Detect and reduce
bias and inaccuracy
that creep into AI-driven decisions.
Shine a light on
shadow AI
-unauthorized tools quietly spreading across teams.
Set smarter limits on
chatbots and virtual agents
so customers get empathy, not robotic frustration.
Vet your
AI vendors
with security and compliance checklists.
Create a
recovery plan
for inevitable AI failures so you can respond quickly and protect trust.
✅ Real-World Case Studies
Every chapter includes concrete examples: an AI-generated financial report that misled investors, a leaked internal memo that surfaced in another user's query, biased loan approvals that triggered lawsuits, and botched customer service exchanges that went viral on social media. These stories show exactly
what went wrong, what it cost, and how it could have been prevented
.
AI Mistakes That Could Cost You Everything: Avoid the Critical Errors That Put Your Business, Data, and Reputation at Risk
Artificial Intelligence is no longer on the horizon-it's here, woven into everyday business operations from marketing and HR to finance, legal, and customer service. The problem?
Most companies are adopting AI without understanding the hidden risks.
What looks like innovation can quickly turn into financial loss, compliance violations, reputational damage, and even lawsuits.
In
AI Mistakes That Could Cost You Everything
, cybersecurity strategist
Eric LeBouthillier
delivers a practical, no-nonsense guide to the
10 most dangerous AI mistakes businesses make-and how to avoid them before it's too late
Drawing from real-world cases across small businesses and large enterprises, this book reveals how seemingly harmless choices-like trusting AI output without oversight or pasting sensitive data into public tools-can snowball into disasters. More importantly, it shows you the
tactical fixes, policies, and safeguards
you can put in place today to protect your team and your reputation.
✅ Inside, you'll learn how to:
Spot the
red flags
of untrustworthy AI output before it damages your business.
Prevent
data leaks and compliance violations
when using public AI platforms.
Build a clear
AI governance policy
to guide your team's usage.
Avoid the dangers of
unchecked automation
in hiring, lending, pricing, and support.
Stop publishing
AI-generated content without QA
that could expose you to legal or brand risks.
Detect and reduce
bias and inaccuracy
that creep into AI-driven decisions.
Shine a light on
shadow AI
-unauthorized tools quietly spreading across teams.
Set smarter limits on
chatbots and virtual agents
so customers get empathy, not robotic frustration.
Vet your
AI vendors
with security and compliance checklists.
Create a
recovery plan
for inevitable AI failures so you can respond quickly and protect trust.
✅ Real-World Case Studies
Every chapter includes concrete examples: an AI-generated financial report that misled investors, a leaked internal memo that surfaced in another user's query, biased loan approvals that triggered lawsuits, and botched customer service exchanges that went viral on social media. These stories show exactly
what went wrong, what it cost, and how it could have been prevented
.
Artificial Intelligence is no longer on the horizon-it's here, woven into everyday business operations from marketing and HR to finance, legal, and customer service. The problem?
Most companies are adopting AI without understanding the hidden risks.
What looks like innovation can quickly turn into financial loss, compliance violations, reputational damage, and even lawsuits.
In
AI Mistakes That Could Cost You Everything
, cybersecurity strategist
Eric LeBouthillier
delivers a practical, no-nonsense guide to the
10 most dangerous AI mistakes businesses make-and how to avoid them before it's too late
Drawing from real-world cases across small businesses and large enterprises, this book reveals how seemingly harmless choices-like trusting AI output without oversight or pasting sensitive data into public tools-can snowball into disasters. More importantly, it shows you the
tactical fixes, policies, and safeguards
you can put in place today to protect your team and your reputation.
✅ Inside, you'll learn how to:
Spot the
red flags
of untrustworthy AI output before it damages your business.
Prevent
data leaks and compliance violations
when using public AI platforms.
Build a clear
AI governance policy
to guide your team's usage.
Avoid the dangers of
unchecked automation
in hiring, lending, pricing, and support.
Stop publishing
AI-generated content without QA
that could expose you to legal or brand risks.
Detect and reduce
bias and inaccuracy
that creep into AI-driven decisions.
Shine a light on
shadow AI
-unauthorized tools quietly spreading across teams.
Set smarter limits on
chatbots and virtual agents
so customers get empathy, not robotic frustration.
Vet your
AI vendors
with security and compliance checklists.
Create a
recovery plan
for inevitable AI failures so you can respond quickly and protect trust.
✅ Real-World Case Studies
Every chapter includes concrete examples: an AI-generated financial report that misled investors, a leaked internal memo that surfaced in another user's query, biased loan approvals that triggered lawsuits, and botched customer service exchanges that went viral on social media. These stories show exactly
what went wrong, what it cost, and how it could have been prevented
.
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