Another Crazy Day in AI: What Hospitals Actually Need from Technology
- Wowza Team
- Nov 5
- 4 min read
Hello, AI Enthusiasts.
Halfway there. If your week’s been busy, so has AI’s.
In a recent podcast from J.P. Morgan, Michael Gao of Smarter Technologies shares how AI is evolving from assisting with paperwork to supporting real medical reasoning. As both a doctor and technologist, he bridges the gap between innovation and bedside care.
And outside the clinic, Walmart’s bringing that same smart assist to shopping with five new AI-powered tools designed to make in-store trips faster and easier.
But not everyone’s in sync — Amazon just told AI startup Perplexity to quit letting its browser assistant shop on its platform. Perplexity’s calling it “bullying.” Amazon calls it unauthorized. The rest of us just want to check out in peace.
Here's another crazy day in AI:
How healthcare systems are finally seeing real ROI
Walmart brings AI to your next shopping trip
Perplexity calls Amazon’s legal move “bullying”
Some AI tools to try out
TODAY'S FEATURED ITEM: From Paper Charts to Intelligent Systems
Image Credit: Wowza (created with Ideogram)
Can artificial intelligence actually fix healthcare's broken economics, or is it just another empty promise?
In a recent episode of What’s the Deal? by J.P. Morgan, host Nick Richitt talks with Michael Gao, president of Smarter Technologies and co-founder of Smarter DX, about how advanced systems are being used to understand the reasoning behind medical decisions. The discussion explores how healthcare is evolving from basic digitization toward more intelligent support—where technology can interpret complex clinical data, improve documentation accuracy, and help hospitals work more efficiently. Gao, a physician himself, brings a unique view from both the medical and technical sides of healthcare innovation.
Points worth noting from the discussion
Earlier healthcare systems focused mainly on digitizing manual work but didn’t lessen the mental and administrative strain on clinicians.
Intelligent systems are now being developed to interpret medical data such as lab results, medications, and patient vitals, improving accuracy in both documentation and billing.
Hospitals using these platforms have seen measurable improvements in efficiency and operational margins.
Complete automation remains impractical—human oversight continues to play an essential role in ensuring reliability and accuracy.
Health organizations are increasingly drawn to integrated technology platforms that can address multiple needs under one system.
Embedding intelligent systems into everyday clinical workflows has proven more effective than using standalone tools.
Transparency, auditability, and provider control are central to building and maintaining trust in these technologies.
There’s growing interest in how such systems might eventually allow more resources to be directed toward patient care and medical research.
This conversation paints a pretty honest picture of where things actually stand. The billing and documentation improvements are real and measurable right now. Hospitals can track the financial impact, which matters when you're running on thin margins. But there's clearly some distance between fixing administrative headaches and revolutionizing how we discover new treatments. Those bigger possibilities get talked about a lot, but they're still mostly in the "wouldn't it be great if" category. It makes you wonder whether solving today's operational problems naturally leads to tomorrow's breakthroughs, or if those are entirely separate challenges that just happen to use similar technology.
One thing that comes through clearly is how much work these implementations actually require. They're not plug-and-play solutions. Healthcare systems need to invest time and resources into making them work, and technology companies need constant feedback to improve their models. That ongoing partnership might be manageable for large hospital networks with dedicated teams, but smaller healthcare organizations face a different reality. They're dealing with the same tight margins and staffing challenges, but with fewer resources to dedicate to technology partnerships. Whether this approach can scale across the full spectrum of healthcare providers is still an unanswered question. The early results look encouraging, but the real test will be how broadly these benefits can reach.
Watch it on YouTube here.
Listen on Apple Podcasts here.
Listen on Spotify here.
OTHER INTERESTING AI HIGHLIGHTS:
Walmart Brings AI To Your Next Shopping Trip
/Kim Souza, Journalist, on Talk Business & Politics
Walmart is rolling out five new AI-powered tools in its app to make in-store shopping easier and more engaging. The retailer says customers who use the app while shopping spend 25% more on average, and these new features aim to enhance that experience. From localized savings and voice summaries of product reviews to real-time item locations, the tools are designed to save time and add convenience. Walmart hopes the update will draw more people back to physical stores during the holiday season.
Read more here.
Perplexity Calls Amazon’s Legal Move “Bullying”
/Ashley Capoot (Reporter) and Annie Palmer (Technology Reporter), on CNBC
AI startup Perplexity says Amazon sent a cease-and-desist letter demanding it block users from making purchases through its Comet browser assistant. Perplexity called the move “bullying,” arguing that its tool enhances the shopping experience rather than harms it. Amazon, however, claims Perplexity’s agents access its platform without authorization and degrade the shopping experience. The clash highlights growing tensions between AI startups and major platforms as both push for control over the future of digital shopping.
Read more here.
SOME AI TOOLS TO TRY OUT:
That’s a wrap on today’s Almost Daily craziness.
Catch us almost every day—almost! 😉
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