@PowerBITips Guess it was only a matter of time before the lawyers got involved
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The revolution is starting. Developing on top of semantic models, law houses, and SQL in fabric with rando web pages is growing. So much more flexibility and capability. let’s Go!!!
Chiamaka Igwe@Data_Chy
I decided to explore HTML visuals in Power BI over the weekend with help from @claudeai , and the result was this interactive sales dashboard. From dynamic KPI cards to custom-styled charts and responsive layouts, HTML opens up a whole new level of design flexibility inside Power BI. It feels less like a report and more like a product. Link to PBIX file: mainstack.com/power-bi-inter… Curious to hear your thoughts 👇 Would you use HTML visuals in your reports?
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.@blocks is building what we think is the first real alternative to hierarchical coordination. For 2,000 years, humans have organized themselves in roughly the same way.
AI changes what’s possible: Not a flatter org chart, but a fundamentally different information architecture, organized around a world model rather than a reporting structure.
@jack and I wrote about what this looks like in practice, why it's different from past experiments, and why it may reshape how companies of all kinds organize in the coming decade.
jack@jack
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HOW TO AVOID THE SaaSpocalypse:
"A good pivot for software companies is to focus on data and APIs and documentation for AI to build with them. Those are raw materials that AI can use to create bespoke software."
Simon Smith@_simonsmith
I work in a 1,600-person company where we did replace an expensive SaaS product with an internally created piece of software built by a senior engineer using AI. So this is happening. In our case, the software wasn’t just equivalent, but better for our needs. It eliminated features we didn’t need in the original, and added features specific to our use cases that the original didn’t have. We were also able to tightly integrate with our company operating system (think ERP+). Accordingly, I do think the SaaSpocalypse will happen. Jensen’s comments to me are wrong. Would an AI build a hammer if a hammer already existed? Absolutely it would, if the new hammer were more effective and efficient at hammering the specific types of nails the AI was using into the specific types of materials it was using. Most SaaS products aren’t a good fit for companies out of the box but must be configured. But now those companies can just create perfect bespoke software instead of configuring imperfect mass market software. This said, I do still think there will be a need for cloud services to serve all this bespoke software. Things like databases that are a single source of truth will be critical. So parts of the stack aren’t going away. We’ll still need places to safely and securely store and manage data. So it strikes me that a good pivot for software companies is to focus on data and APIs and documentation for AI to build with them. Those are raw materials that AI can use to create bespoke software, like buying wood and iron to build a custom hammer.
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@mim_djo @ehansalytics Not to be a buzzkill, but I personally would never approve a PR if the person submitting it didn’t understand what the code was doing. AI is great and all, but for code that ships somewhere, there has to be a responsible human behind it.
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Super late to the party, I know, but can I just say that Claude Code and Opus 4.5 is the most amazing thing I've ever experienced in my professional life?
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@PhilSeamark @cwebb_bi would like to see you & Chris doing more Ted Patisonesque full scale web dev given all the vibe-coding tools we have at our fingertips now
from the peanut gallery
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Visualising #PowerBI Performance Analyzer data with a vibe-coded custom visual blog.crossjoin.co.uk/2025/12/21/vis…
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@KratosBi Followed along on my own tenant to see this action! Thanks Krystyna!
Luv the fun/dynamic energy y’all have on the show! (Maybe it’s the Neuro gum?
If Neuro doesn’t up their sponsorship game, you may wanna give my friends at @ChewFUgum a try)
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Do you have a TON of files in OneDrive that you want to use in Power BI?
Oh, boy, has that been a challenge... at least until NOW!!!!
Kristyna Ferris will show us how EASY it is to connect OneDrive to OneLake via shortcuts in Microsoft Fabric.
This is going to be a true game-changer!
Join us LIVE on YouTube and be part of the conversation.
youtube.com/watch?v=fYwT6N…
#MicrosoftFabric #PowerBI #Data #Analyst
YouTube
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The latest from Jeffery Wang on the Power BI MCP server - required reading!
pbidax.wordpress.com/2025/11/25/tal…
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@SamMcKayOG I lost my faith in data during the Covid era
Raw politics
Same as it ever was
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I’ve been thinking about this a lot lately. When does analysis stop being helpful?
When does the effort, cost, and maintenance of producing more reports, dashboards, and insights actually outweigh the value it delivers?
There’s always a belief that more analysis will lead to better decisions. But I’m not sure that’s true anymore. At some point, the marginal gains flatten. You can add more data, more layers, more models — but the improvement in decision quality barely moves.
Every organisation reaches a kind of peak in its analytical effectiveness. Beyond that point, analysis often becomes about maintenance rather than insight. People start managing dashboards instead of using them. Teams optimise reports that few people read. The system becomes heavier, not smarter.
I think this is a question worth asking more often:
How much analysis is enough?
At what point does the return on insight stop justifying the cost of producing it?
Maybe the future of analytics isn’t about volume anymore.
Maybe it’s about precision.
Doing less analysis, but making sure the analysis that is done truly drives better decisions and action.
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in hindsight it’s kinda obvious macroecon should be micro fundamented. you work for your boss’s preferences, he works for his boss’s preferences, and so on. kinda weird that ends up producing good business outcomes, but well it does.
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When & where should we hold the inaugural American Party congress?
This will be super fun!
Elon Musk@elonmusk
🇺🇸🇺🇸🇺🇸 AMERICA 🇺🇸🇺🇸🇺🇸
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td me-retweet
@elonmusk Time for you to stop fooling around with stupid dog shitcoins and sit down and read The Bitcoin Standard to realize that only bitcoin fixes this.
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Build for AI or Build for Reports? - Ep.430 - Power BI tips x.com/i/broadcasts/1…
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@SamMcKayOG So the obvious question Sam then is whether you used voice to create your comment here :-)
fyi I did
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Most people still think of voice technology as a gimmick. They remember clunky bots and half-broken assistants from years ago or still use Siri...which is honestly terrible even now.
But AI is changing voice. And it’s happening fast.
We’re moving into a world where voice becomes one of the most natural interfaces for interacting with technology.
It feels obvious once you experience it working properly.
The next generation of AI-powered voice applications will feel seamless. Voice removes friction better than any other interface we’ve ever had.
If you step back and look at it, the real question isn’t will voice matter.......It’s how much voice AI tech can the world actually absorb?
It reminds me of cloud computing. At first, the cloud felt like a specialized tool. Now it’s everywhere. It is woven into every part of how businesses operate, almost invisibly. And the growth outlook for cloud is almost endless...just look into the more recent growth numbers of all big tech cloud businesses.
Voice is on the same path. Every interaction you have—with a customer, supplier, or internal team—is an exchange of information.
And wherever information is exchanged, there’s an opportunity to insert an intelligent, AI-driven voice layer.
I’m not sure we even fully understand how big this is going to get.
It won’t just be about voice search or smart speakers. It will be about customer service. It will be about onboarding. It will be about exit interviews. It will be about internal training. It will be about project management.
It will be about sales, support, operations, feedback loops—all powered, in part, by smart voice systems.
I saw a great example recently - a company built a simple exit interview process on a website, prompting people to give verbal feedback and automatically analyzing the results, providing real-time experience data from website users.
Never before was anything like this truly possible. Now it is.
It becomes so obvious once you see it.
Every business, every website, and every physical store could eventually have world-class customer conversations without needing a call center. The scale is endless.
Right now, it might feel weird to some people. Talking to systems still feels slightly unnatural for many.
But that’s going to change very quickly. My bet is customers, teams, and entire industries will adapt to it faster than we expect.
This is one of the biggest AI opportunities hiding in plain sight.
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