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Adobe and Google Cloud partnership, Microsoft 365 Copilot updates, GE HealthCare AI rollout, and US AI court developments


Hello!

This week brings some serious moves that could shift how you think about AI in your business. I’m talking about fresh partnerships, new agent capabilities, real-world healthcare deployments, and a court decision that hints where US AI regulation is headed.

Let’s cut through the noise and get to what actually matters for your bottom line.

Adobe and Google Cloud team up for brand safe enterprise AI

Adobe just announced something that should grab your attention: Firefly Foundry paired with deeper Google Cloud integration. This means companies can now build private, brand-tuned models on Vertex AI while bringing Gemini, Veo, and Imagen directly into Adobe’s creative suite.

Why this matters: Your marketing team can finally scale content creation without losing brand control or compliance oversight. No more choosing between speed and staying on-brand.

My take: This is exactly where enterprise AI needs to go governed, customizable, and built into tools people already use. If your team runs on Google Cloud and brand consistency keeps you up at night, start planning your Foundry pilot for 2026.

Source: Adobe

Microsoft 365 Copilot rolls out Agent Mode

Microsoft’s October update brings Agent Mode to Word and Excel, plus improvements across their entire 365 suites. These aren’t just smarter chatbots they’re agents that can execute multistep workflows on your documents and spreadsheets.

Why this matters: Real productivity gains happen when AI stops being a question-answering tool and starts being a workflow executor. Think automated report updates, meeting prep packages, and spreadsheet transformations that follow your business rules.

My take: Don’t roll this out company wide on day one. Pick one specific, measurable task, in one account. Track time savings and error rates for two weeks. Then decide what’s worth scaling. Agents work best with clear governance and clean data and working for a team member who’s been trained on how to use it.

Source: Microsoft

GE HealthCare partners with Duke and Queen’s for AI-powered operations

GE HealthCare announced collaborations with Duke Health and The Queen’s Health System to advance CareIntellect, their AI platform focused on operational efficiency, patient throughput, and revenue cycle improvements.

Why this matters: Hospitals are incredibly complex operations with razor-thin margins. If AI can reduce bottlenecks and improve staff productivity, that’s direct ROI you can measure. The vendors that package AI into deployable workflows* will win over point solutions every time.

My take: Watch for published metrics on length of stay, ED boarding times, and billing denials. Those are the KPIs that prove AI value in healthcare systems and they translate to other complex operational environments. *did you notice they are talking workflows here too!

Source: GE HealthCare

Research points to faster, more efficient AI hardware

New research highlighted this week describes an optical processing engine that handles data with light at multi-GHz speeds, potentially slashing power consumption for AI workloads. It’s early-stage lab work, but the implications are significant.

Why this matters: Training and inference costs dominate most AI budgets. Hardware that cuts energy consumption per operation could completely change the ROI math (and environmental impact) for on-premise and edge AI deployments in the next few product cycles.

My take: You won’t be buying this tomorrow, but it’s a strong signal to avoid locking into architectures that assume today’s power and thermal limits. Keep your AI stack modular (like Legos) and plan for hardware that works differently, but can still use the same building block.

Source: Science Daily

Healthcare advance: AI helps a family dramatically cut a U.S. hospital bill

A U.S. family faced an eye-watering $195,000 hospital bill for four hours of intensive care. Using the AI chatbot Claude, they identified duplicative charges, improper coding and other billing violations and negotiated the bill down to $33,000!

Why it matters: Beyond the patient story, this highlights how AI can analyze complex operational data (billing, coding, processes) and make significant financial impact. Hospitals, insurers and third-party administrators could adopt similar tools for cost control, audit and transparency. You could also try this with medical and dental bills 😉

My take: This case is a strong signal that AI isn’t only about new product features it’s edging further into operational and cost-control domains. If your business deals with complex, opaque billing or service chains.


Source: Healthcare advance

Federal court allows key copyright case against OpenAI to proceed

A federal court decision this week let parts of a consolidated authors’ copyright lawsuit against OpenAI move forward, focusing on alleged copyright infringement in AI outputs. Meanwhile, the FTC continues emphasizing oversight of misleading AI marketing claims.

Why this matters: Expect more contracts, audits, and provenance requirements throughout your AI supply chain. This affects vendor selection, model customization, and how you document and store prompts and outputs.

My take: Treat AI compliance like privacy and security compliance. Build a lightweight governance checklist now: data sources, consent, and licensing, output review, and audit logging. Better to have the framework ready than scramble later.

Source: Federal court allows key copyright case against OpenAI to proceed

This week’s recommended tools

  • Pictory.ai –  Create and edit professional quality videos (for social media, blogs, and other marketing materials) using text in minutes.
  • Jasper.ai – Uses multiple LLM’s. Great for teams! Content supply chain, capture institutional knowledge, high quality copy for emails, ads, websites, listings, blogs while maintaining your brand voice and security. It’s like having a private RAG for you and each of your clients if you have an agency.
  • Read.ai – Track your meetings, emails, and messages with AI-generated summaries. 

How to Make a Website with AI Using Gamma

You can create a complete website in just a few minutes no design or coding needed. Here’s how:

Step 1: Go to Gamma and Click “Create with AI”

  • Open your Gamma dashboard and click Create with AI.
  • You can start in three ways:
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    2. Paste text – Turn your text into a website.
    3. Import a file – Upload a document to convert it.
  • For now, type a short prompt like “Create a website on Spirit Bears.”

Step 2: Review and Edit the Outline

  • Gamma will make an outline for your website automatically.
  • You can add, edit, or remove sections to match your ideas.
  • Choose how long each section should be (short, medium, or long).
  • Add images, upload your own or let AI create some for you.

Step 3: Choose a Theme

  • Pick from ready-made themes that look professional.
  • Or make your own theme with your logo, colors, and fonts.
  • Click Generate to turn your idea into a full website.

Step 4: Edit Your Website

  • Replace the sample text with your own.
  • Add pictures, videos, or buttons.
  • Want quick edits? Click “Edit with AI” and tell Gamma what to change.Example: “Make the headline more exciting.”

Step 5: Add More Pages

  • Click the page title, then the + icon to add a new page.
  • You can make one with AI or start blank.

Step 6: Customize the Toolbar

  • Add tabs to help people move around your site.
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  • Add your logo and a call-to-action button (like “Contact Me”).

Step 7: Publish Your Site

  • Click Publish when you’re done.
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  • Want your own web address? You can connect or buy a domain inside Gamma — no setup needed.

You’re done!
You just made a beautiful, working website in minutes using AI.
Try it free at Gamma because making a website should be simple.

Join the Conversation

Have questions, comments, or cool AI stories to share? We’re all ears and always looking to highlight insights from the AI community. Swing by and drop us a line at info@aismartventures.com.

Can’t wait to hear from you!

Cheers,

-Nicole Donnelly
Founder, AI Smart Ventures

Nicole Donelly

Nicole Donelly

Nicole A. Donnelly is the Founder of AI Smart Ventures and an AI Adoption Specialist with 20 years of experience as a founder and CEO and over a decade leading AI adoption initiatives. She helps businesses integrate artificial intelligence with clarity and confidence, driving innovation and sustainable growth.