Many organisations that are "digitally transformed" are now pursuing AI transformation. What I see is the same competing incentives that keep poisoning data, same silos, lack of governance and absence of accountability.
Hypewagon appears to have already departed though. I'm hearing local optimisation (this time by sprinkling AI dust) within some silos.
What's your observation?
This is often what happens despite the expensive transformation programs, pixel-perfect decks with messy operations. I keep seeing the same transformation blueprint; lay-off, restructure, uplift technology, voila!
When do you think organisations will stop spending millions of $$$ on cookie cutter transformation initiatives that don't transform the operating model and the culture behind it?
Just a light-hearted Friday post.
But seriously, isn't it controversial? Is it called that way because good ideas suffer a slow death due to long lead times?
I'll start with an expired SSL certificate taking down one of the core systems at a ~1000 people business. Solution was extremely simple; just establish a process to get due dates visible in a shared place. 😄
Had similar stuff in 15k+ organisations too but they weren't in prod systems.
Let's say you started today, or you're pitching in to get the gig.
What questions have led you to major improvement areas faster than others, before being able to collect meaningful data? What made the senior leaders get hooked like they're in a delivery therapy session?
What makes your orgs live with the existing constraints that are visible from miles away? If you need Jane from Marketing and Bob from Finance to answer questions, just form a team.
What's holding these organisations back from having an org design that optimises flow? Is it simply just politics?
Read the full article here.
How many teams do you have, what's your average team size, and your lead times? I see a lot of large organisations implement (or try to) the thing but it seems they implement a bunch of buzzwords without substance. Lead times are still measured in months, PI planning that sugarcoats big batch discovery/delivery, and all other characteristics of waterfall.
Many SAFe practitioners that I've met in person didn't have anything measured, which is a bit surprising. I hope to get some clarity on how (if it does) it really benefits in measurable/proven ways.
Can someone tell me the benefits of hybrid delivery model? What's the benefit? Who benefits? What does it entail? etc.
Do you think current LLMs can achieve AGI?
If we achieved AGI, what would that mean for the economy, people, and the world in general?
Source: https://thenextweb.com/news/amazon-shuts-agi-lab-frontier-model-retreat-layoffs
RAG status. It's up to some PMO guy's gut telling them things are turning amber or red. I've never seen anything measurable behind it. It's often another layer to hide behind when optimism meets harsh realities of changing stakeholder needs with cemented deadlines.
Have you? What's the most useless metric you'd nominate?
A lot of organisations employ some abstract estimation techniques when it comes to agile delivery, often Story Points (simplified fibonacci) or T-shirt sizes (S/M/L etc.)
While I like the conversations relative sizing techniques spark within teams, accuracy is usually unreliable.
What are your thoughts? How do you forecast work?
As the title suggest, I'm curious to what extent you guys have your QA pipeline automated? More often than not, I see devs write and execute unit tests, and handover to some dedicated QA people for manual validation.
It's lucky to see a test repository to reuse, let alone a set of automated e2e tests. And it seems that there's a lack of appetite for automating that stuf.
What's your experience with this? If you've seen the lack of appetite, what do you think was causing it?
As the title suggest, I'm curious to what extent you guys have your QA pipeline automated? More often than not, I see devs write and execute unit tests, and handover to some dedicated QA people for manual validation.
It's lucky to see a test repository to reuse, let alone a set of automated e2e tests. And it seems that there's a lack of appetite for automating that stuf.
What's your experience with this? If you've seen the lack of appetite, what do you think was causing it?
The way I read this is that vanity metrics are up. Did epics and tasks resolved translate into the value of the outcomes? No one knows.
But defects and incidents are increased drastically, which doesn't surprise me. It's really hard to review the quality of thousands of lines generated within minutes.
Below is the report summary. What do you think? How does AI usage impact your teams?
For the full article see https://www.faros.ai/blog/ai-acceleration-whiplash-takeaways
PS. I have no relationship with faros, just sharing for discussion.
A lot of organisations employ some abstract estimation techniques when it comes to agile delivery, often Story Points (simplified fibonacci) or T-shirt sizes (S/M/L etc.)
While I like the conversations relative sizing techniques spark within teams, accuracy is usually unreliable.
What are your thoughts? How do you forecast work?
Keen to hear what everyone thinks. Lot of hype boys go "woow, how powerful" and slobber over it but having configured environments loads of times, I can't see how that can realistically happen. Happy to be humbled. 🙂
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I'm Alp, founder of r/DigitalDelivery community. I'm passionate about making organisations see their challenges as opportunities and improve relentlessly.
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AI slop has been a sad reality, but stealing that slop and copy-pasting is infuriating. Identical slop, verbatim. From multiple LinkedIn "users". Easy to catch but LinkedIn does not care apparently.
Worst part? This crap gets shedloads of reactions while human-effort posts often can't even go past two digit impressions, despite getting early traction. That's not just my experience, occassionally seeing other fellow humans complain about this too.
At this point I started to believe LinkedIn has more bots and bot-generated content than human stuff. What alternatives do we have for getting visibility/credibility, therefore, new business opportunities? What do you do for meeting like-minded professionals, networking, and landing new gigs?
I was overseas for three weeks and Vodafone voicemail number asked for a security pin that I've never been asked or needed to set up.
I'm back in AU after 3 weeks and now it asks me for security pin in AU too. Mind you that they remove voicemails after one week. Their support team is helpless. Same mumbo jumbo such as escalating it, rehighlighting it etc. The whole process feels like I'm falling victim to a scam.
So they provide me no way to listen or retain them. Three more voicemails will be removed by mid next week. As my phone was off when most of these voicemails were left, I don't even know who called me.
1.Has anyone had this issue? I'll be looking into taking legal action and keen to hear your experience. 2. How do you sort out voice, text, and data stuff when you're overseas?
