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Welcome, AI Entrepreneurs!

Ready to uncover where your users leave—and take action before it’s too late?

I’m so excited to tell you in today’s issue about how you can use Hotjar AI Labs to spot drop-off points in your app or website, analyze user behavior, and improve conversions—all in minutes!

It’s like having a UX detective working for you, 24/7!

In today’s AIpreneurs Insights: 

• Spotlight Tool of the Week: Hotjar AI Labs: Use AI to Detect Drop-Off Points in Your App Instantly

• Become the Human in the Loop in Healthcare AI: Basics 2-6: Data Governance in Healthcare Artificial Intelligence

• Top 3 AI Business Search Trends of the Week

• Top 5 FREE AI Tools to Detect Drop-Off Points and Improve User Experience in Your App

• Free Resource: AI App Retention Playbook

Hotjar AI Labs: Use AI to Detect Drop-Off Points in Your App Instantly

Discover how Hotjar helps product teams and SaaS founders visualize user journeys, identify where users abandon flows, and access recordings and heatmaps tied to each step.

Our demo shows how you can set up a funnel, view drop-off details, and drive UX improvements—no manual digging required. See how AI-driven analytics can convert abandonment into opportunity.

Don’t miss the product demo by Your Joomla Tutor

You can explore more about it at https://www.hotjar.com

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Big News: Our New Program Is Live!!!

Healthcare is changing faster than ever. From AI tools that process claims in seconds, to predictive models that identify high-risk patients before complications happen, the message is clear: AI is already reshaping care delivery.

But here’s the challenge:

• Many AI tools are overhyped without evidence.

• Implementation often fails because leaders don’t understand the unique complexities of healthcare.

• Ethical and trust concerns still remain at the center.

That’s exactly why I created Become the Human in the Loop in Healthcare AI — a program designed for health leaders, executives, and non-technical professionals who want to lead responsibly in this new era.

Watch the video HERE…

If you’re serious about AI in healthcare, skip the free scattered route.

Get the structured course: https://www.umerkhanmd.com/buy_videoprogram

Shoppers are adding to cart for the holidays

Over the next year, Roku predicts that 100% of the streaming audience will see ads. For growth marketers in 2026, CTV will remain an important “safe space” as AI creates widespread disruption in the search and social channels. Plus, easier access to self-serve CTV ad buying tools and targeting options will lead to a surge in locally-targeted streaming campaigns.

Read our guide to find out why growth marketers should make sure CTV is part of their 2026 media mix.

Learn more.

1. AI May Save Lives — But It’s Complicating Who’s Liable When It Doesn’t.

A new JAMA summit report warns that AI’s rapid integration into healthcare could make it far harder to assign blame when medical errors occur. With limited regulation, unclear liability, and inconsistent testing, AI could complicate everything from malpractice claims to product accountability.

The Details:

• AI tools now help with diagnosis, imaging, and hospital management, but many lack proper oversight.

• Experts warn that fault and liability will be difficult to prove when AI decisions lead to harm.

• Courts may struggle with early inconsistencies, raising costs and uncertainty in AI adoption.

• The report highlights that most widely used AI tools are the least evaluated, calling for stronger digital infrastructure and funding.

Why it Matters: 

As AI becomes a core part of clinical decision-making, accountability in healthcare is entering uncharted territory. If a patient is harmed by an AI-assisted diagnosis, who’s responsible—the doctor, the developer, or the algorithm itself? Without clear legal and ethical frameworks, innovation could outpace safety, eroding patient trust. The report underscores an urgent need for standardized testing, regulation, and transparency before AI becomes medicine’s next malpractice battleground.

Find out more about it here: https://www.linkedin.com/pulse/your-doctor-trusted-algorithm-you-died-whos-responsible-umer-khan-md-nbpuf

2. Billions Spent, No Breakthrough: Meta’s AI Problem Deepens

Meta is spending unprecedented amounts — up to $600 billion on AI infrastructure — but investors are starting to worry. Despite massive investments in data centers, talent, and compute, the company has yet to show a clear revenue path or flagship AI product to justify the cost.

The Details:

• Meta’s AI-related expenses jumped $7B year-over-year, with nearly $20B in capital spending this quarter alone.

• The company’s stock plunged 12%, erasing over $200B in market value, after vague earnings explanations.

• Meta’s AI products — like the Meta AI assistant, Vibes video generator, and Vanguard smart glasses — remain experimental, not profitable.

• Zuckerberg insists the Superintelligence Lab will soon unveil “novel models and products,” but details remain scarce.

Why it Matters: 

Meta is in a race to define its place in the AI revolution — but so far, the returns haven’t matched the rhetoric. Unlike OpenAI or Google, Meta lacks a breakout AI product generating real revenue. Investors are questioning whether Zuckerberg’s “spend first, explain later” strategy can hold. If Meta fails to deliver a commercially successful AI breakthrough soon, its vast infrastructure could become a monument to overconfidence — not innovation.

Find out more about it here: https://techcrunch.com/2025/11/02/meta-has-an-ai-product-problem/

3. Fitbit’s Gemini-Powered Coach Is Changing How You Train

Fitbit is rolling out its Gemini-powered “Coach” AI to Premium users, marking a major leap in personalized health tech. Available first on Android, the AI acts as a custom fitness trainer, sleep coach, and wellness advisor — adjusting routines in real time based on user feedback and even injuries.

The Details:

• The Gemini AI Coach builds custom workout plans based on goals, equipment, and performance feedback.

• It can modify fitness routines dynamically, such as adapting when a user reports pain or fatigue.

• Fitbit’s app got a complete redesign with four main tabs — Today, Fitness, Sleep, and Health.

• Premium users need a Fitbit or Pixel Watch to access the preview version starting this week.

Why it Matters:

This marks Google’s strongest push yet to blend AI and everyday health management. Fitbit’s Coach doesn’t just track — it interprets, reacts, and guides, moving closer to the holy grail of truly personalized wellness. As AI assistants expand from productivity to physical health, tools like Gemini Coach could redefine how users approach fitness, rest, and recovery — turning wearables into proactive health partners instead of passive trackers.

Find out more about it here: https://techcrunch.com/2025/10/27/fitbits-revamped-app-with-gemini-powered-health-coach-rolls-out-to-premium-users/

Stay tuned for more updates in our next newsletter!

Top 5 FREE AI Tools to Detect Drop-Off Points and Improve User Experience in Your App 

1. FullStory
🔗 https://www.fullstory.com
FullStory uses AI-powered session replay and heatmaps to uncover user frustration signals and drop-off points across your app or site. The free plan gives you insight into user journeys, click rage, and slow-loading screens that hurt engagement.

2. Microsoft Clarity
🔗 https://clarity.microsoft.com
A 100% free analytics tool that provides heatmaps and session recordings so you can see exactly where users stop interacting. Perfect for spotting usability issues and improving conversion flow.

3. Smartlook
🔗 https://www.smartlook.com
Smartlook captures user sessions and events in real time, helping you pinpoint drop-offs in the user journey. Its free tier offers recordings, funnels, and event tracking for smaller apps or early startups.

4. PostHog
🔗 https://posthog.com
An open-source analytics platform powered by AI that tracks user events, funnels, and retention metrics. Its free self-hosted version is ideal for developers who want full control and transparency.

5. Mixpanel
🔗 https://mixpanel.com
Mixpanel’s AI-driven analytics visualize where users churn and which features keep them engaged. Its free plan includes up to 20M monthly data points, funnel tracking, and cohort analysis.

𝐀𝐈 𝐢𝐬𝐧’𝐭 𝐟𝐚𝐢𝐥𝐢𝐧𝐠 𝐡𝐞𝐚𝐥𝐭𝐡𝐜𝐚𝐫𝐞. 𝐇𝐞𝐚𝐥𝐭𝐡𝐜𝐚𝐫𝐞 𝐢𝐬 𝐟𝐚𝐢𝐥𝐢𝐧𝐠 𝐀𝐈.

Because we still haven’t fixed how we 
- collect, 
- label, and 
- share what we know.

We keep saying AI will revolutionize medicine.

But if your hospital can’t even merge two EHR systems,
What exactly is it learning from?

Inconsistent units.
Incomplete records.
Unstructured notes written at 2 AM.

That’s what most “training data” in healthcare looks like.
Sad truth. 

AI isn’t magic, it’s math.
And math is only as good as the meaning we give it.

If we want AI to save lives,
We have to teach it from data that actually reflects life.

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Stay Tuned

Stay tuned for more updates on AI trends, tools, and insights in our next newsletter.