#innovation

If you have time, this is a great interview on the issue.

https://www.youtube.com/watch?v=TXiOO-nKqpw&t=1s

I have been thinking a lot about ai and sw eng. work.... been doing it now for almost 3 decades... the productvity gains are real. code moves faster - test cases are easier, documenting takes less effort... and research that used to take hrs happens more quickly.

at the same time, engineering has never been just about producing code. at least for me and folks around me... a lot of the value comes from debugging, arch discussions, mistakes, tradeoffs. learning the system deeply enough to shape it yourself. if ai starts solving too much of that for us, we will lose some of the judgment and ownership that made work meaningful.

Anyhow I do not think the answer is to reject ai. It is way too useful for that... the question is how we use it without replacing the curiosity... craftsmanship... collaboration and mentoring that make good engineers, and good teams even better...

At the same time I do that my wishes will come true, the economics are against it. So, yea times have changed...

Fancy Name Tags ( especially as if I invented the AI ) doesn't add ANY value to the corporation..

IBM's targeted version of Mythos.
Once again riding coattails and scavenging scraps.

https://www.cybersecuritydive.com/news/ibm-open-source-security-ai-project-lightwell/821348/

https://www.cnbc.com/video/2026/05/28/ibm-to-spend-5b-on-new-cybersecurity-platform-for-enterprise-customers.html

Since we are AI all in lets replace the Board & Ceo with AI. Lets lead by example instead of always being a follower.

https://arstechnica.com/tech-policy/2026/05/uss-big-bet-on-quantum-computing-may-not-be-entirely-legal/

It clearly falls outside the confines of the CHIP Act intent.

Article also points out how utterly ridiculous the idea of a "quantum chip foundry" is in 2026.

From my experience at Oracle...

Stop sharing your big ideas or new project concepts with management. Most of them honestly don’t understand the real technical depth behind the work.

They rarely join brainstorming sessions or real idea discussions. They only show up when the final result is ready. They don’t want the struggle or hard part of building something. They just want the finished product handed to them so they can approve it, sign the document, and take the credit.

If you suggest new ideas or projects before having complete results, management might even start seeing you negatively. And honestly, a lot of these managers can’t even get proper resources or support for their own teams. They have just something called Managerial EGO.

They love starting trendy discussions around hackathons, POCs, innovation, learning sessions, and all that. But most of the time, they only know the buzzwords because they heard them from someone else. They build vocabulary, not actual understanding.

At the end of the day, you’re there to finish the work assigned to you.Not to help management look smarter using your ideas. Some of those ideas could actually become your own startup someday and make you far more successful instead of helping useless managers climb higher.

Just a thought, maybe start chasing VAST/Weka/Qumulo before they eat all your NAS lunch?

Is ops innovation working? Another leftover appendage from Greg Smith

Why every time lay off news.. some thing do new .. better to develop new unique features that is not available in market

Ford AI: Hi, how can I help you?

Me: Show me 2026 Bronco Inventory

Ford AI: Error. I'm having trouble getting that information. You can try again or come back later.

Me: why did it take so long to say "I have trouble getting that information" :). What is my closest dealership?

Ford AI: Error. I'm having trouble getting that information. You can try again or come back later.

Me: what is my closest dealership

Ford AI: Here are some links that may be relevant to your search for the closest Ford dealership:
Locate a Dealer
Find a Dealer

Me: Just tell me the name of closest dealership

Ford AI: I can provide you with links to find your closest Ford dealership, but I cannot tell you the specific name without knowing your location. You can use these links to locate a dealer near you:

Locate a Dealer
Find a Dealer

Me: Ok...here is my zip code.
Ford AI: Please use the following link to locate a dealer:

Locate a Dealer

GEMINI:

Me: what is closest ford dealership

Gemini: You have two very convenient Ford dealerships nearby depending on which direction you are heading.

The closest options are:

1. Ken Grody Ford Carlsbad
   This is your absolute closest option, located right in Carlsbad.

Address: 5555 Paseo Del Norte, Carlsbad, CA 92008

1. North County Ford
   Located just slightly inland in Vista, this is another very close alternative.

Address: 420 N Emerald Dr, Vista, CA 92083 (Located in the Vista area)

Corporations are not necessarily pulling the plug on AI, but the initial, unbridled "gold rush" has definitely hit a wall of operational reality. The corporate approach has shifted from a frantic race to adopt any AI tool to a much more cautious, calculated, and sometimes frustrated effort to find actual business value.

The current landscape reveals why companies are reconsidering their initial "rush" strategy, pivoting toward a more structured approach:

1. The Productivity-to-ROI Disconnect

During the initial hype, the assumption was that massive individual productivity gains (like writing code or drafting copy five times faster) would automatically translate to corporate profitability. It hasn't. Recent data, including a 2026 enterprise study by Writer, shows that nearly half (48%) of C-suite executives now call their AI adoption a massive disappointment, and only about 29% are seeing a significant return on investment (ROI). Companies are realizing that adding expensive AI tools on top of messy, inefficient legacy processes just creates faster chaos, not better outcomes.

1. Strategy "For Show" vs. Reality

There is a growing, uncomfortable realization in boardrooms that early AI roadmaps were built more for investors and public relations than for actual internal execution. In fact, three-quarters of executives admit their company's AI strategy has been "more for show" than actual operational guidance. Leaders are hitting severe bottlenecks when trying to scale experimental pilot programs into production-ready enterprise workflows.

1. Culture Clashes and the "Two-Tiered" Workplace

The rush to implement AI has triggered significant internal friction.

The "AI Elite" vs. Non-Adopters:

Management is aggressively rewarding power users while planning to phase out employees who resist the technology.

Trust Deficits:

According to Cox Business research, nearly 50% of employees hide how much they rely on AI at work due to a lack of clear corporate policies, paired with a lingering fear (around 47%) that the technology will eventually eliminate their jobs.

Loss of Top Talent:

Gartner warned that companies focusing strictly on cutting payroll rather than training their people to use autonomous tools risk losing their best specialized AI talent to competitors.

1. Severe Security Gaps ("Shadow AI")

When corporate IT departments didn't move fast enough to provide official AI tools, employees took matters into their own hands. This explosion of "shadow AI"—workers dropping proprietary code, sensitive financial spreadsheets, or customer data into unapproved, public LLMs—has terrified risk officers. Two-thirds of executives believe their companies have already suffered data breaches or compliance risks due to these unmanaged tools, forcing a hard pause to establish strict governance frameworks.

The Shift to "Agentic" and People-Centric Models

Instead of backing away from AI entirely—corporate spending remains incredibly high—organizations are drastically rewriting their execution playbooks. The "rush" is being replaced by two specific trends:

Moving to Agentic Workflows:

Companies are moving away from simple prompt-and-response chatbots and focusing on specialized "AI agents" built to handle specific, cross-functional business workflows with centralized IT guardrails.

The 80/20 Rule:

Forward-thinking organizations are abandoning the idea of total human replacement. Instead, they are structuring roles around an 80/20 model:

80% of roles are "human-led, AI-augmented" (the Ironman approach, where human judgment is non-negotiable), and 20% are "AI-led, human-supervised" (for high-volume, low-risk, repetitive tasks).

Ultimately, corporate America is learning that while adopting AI technology takes weeks, successfully restructuring a workforce to actually benefit from it takes years. The current pause isn't a retreat; it's a strategic realignment.

_

4 places you want to be…

Celly, really? Maybe Celly and Newsy can start a cartoon adventure series together lol.

https://www.shutterstock.com/image-vector/newspaper-set-mascot-70s-groovy-260nw-2406493173.jpg

Pretty much sums up corporate planning and ideas. Maybe people would forgive our mistakes, if we offer 40 channels on the CB ?

Yeah ….Right good Buddy …

It seems oxymoronic, doesn't it? When asking for updates or other changes, the answer is no, every single time. Even when requesting changes to efficiency or just plain common sense. No, that is not desired. Just. Plain. No.

I floated idea that EH should go about 6 months ago and everyone was overwhelmingly negative regarding my thesis in this board.

Now, I am sure majority of the people agree with me.

If all he can show for 18 months is what we have seen. What makes anyone believe that he can come out something outstanding in 6 months to 12 months from now?

It is abundantly clear to me, that when MP & JD gutted the talents or ( designers) and replaced with techies, Nike took wrong turn on the cross and EH cannot come back with no talents there with corporation culture is keep your mouth shut and follow the group!

What happened to JUST DO IT?
Double talking hypocrites

Why are we pushing to adopt a self destructive technology?
https://youtu.be/F-6la_I-xkQ

SH posting about the 70’s like it was yesterday! From LinkedIn.

Let’s not forget the company that transformed how the world shares ideas and information. Xerox is known for inventing Xerography, the laser printer, the mouse, the graphical user interface, and Ethernet, all developed in its labs. Today, Xerox continues to innovate by expanding its IT offerings and creating a robust production ecosystem in print.

Despite predictions, the paperless office has not become a reality, and studies show that print enhances comprehension, recall, and memory. If you want to remember what you read, print it. More updates from Xerox are on the way.

Click2Expert on steroids!

and what is 100 in the app name? like 100th redesigned app?

Was AK correct that the quantum age is nigh?

https://www.barrons.com/articles/quantum-ibm-cleveland-clinic-dr-gs-35cf1909

By: Mackenzie Tatananni |
Updated May 05, 2026, 12:08 pm EDT / Original May 05, 2026, 12:01 am EDT

As investors await a quantum revolution, researchers are already delivering the first tremors.Look
no further than the latest study from International Business Machines,
conducted alongside Riken and Cleveland Clinic. Scientists linked IBM quantum systems
to two of the world’s most powerful supercomputers: Fugaku at Riken and
Miyabi-G, operated by the University of Tokyo and the University of
Tsukuba.The end
result was a protein complex spanning more than 12,000 atoms. While
highly technical, the demonstration has clear applications in dr-g
discovery and medicine, potentially delivering the transformation that
quantum enthusiasts have long promised.“They’re
the largest known molecules to be simulated thus far with quantum
computing,” Jerry Chow, IBM’s chief technology officer of
quantum-centric computing, said ahead of the announcement.He
is describing what IBM and Cleveland Clinic define as “biologically
meaningful molecules.” The protein simulated in this case is called
trypsin, a heavyweight in the world of biology. Without it, the body
would struggle to perform one of its most basic functions: breaking down
proteins into the building blocks it needs to survive.A lot of quantum research
has centered on this type of work, which has clear applications in dr-g
development. However, investors have been eager for results that prove
quantum computers are useful for something other than lab-scale
demonstrations.“The
hook here is that we want to go to a world where we have much better
therapeutics and things that make all of our lives better,” Chow
explained. “Fundamentally core to that is understanding how molecules
behave, how molecules interact with things such as water. In many ways,
this is the largest demonstration to date.”Kenneth
Merz, the lead author of the study, agrees. “I always go to the dr-g
discovery angle,” Merz said. “We’re developing methods to discover dr-gs
to improve human health. But there’s also this concept of divide and
conquer.”Merz, a
staff scientist at Cleveland Clinic, leads a lab dedicated to building
computational tools that apply theoretical math to biological research.
The latest experiment shows how existing hardware can be paired with
quantum machines to solve problems that today’s computers cannot handle
alone, he said.“You
take a very big problem and break it into small pieces that are able to
run on current-generation hardware, and then stitch it together to get
the global answer,” Merz explained.The team stopped short of claiming quantum advantage, a milestone many investors are watching closely.Quantum
advantage refers to a system’s ability to outperform classical
computers at a range of tasks, doing so more efficiently, accurately,
and inexpensively. While often viewed as the true tipping point for the
technology, focusing solely on this milestone risks overlooking the
incremental progress made along the way.Chow
emphasized that any claim of quantum advantage must be validated
against established, rigorous testing frameworks. The scientific
community isn’t there yet, and to date, there is no consensus whether or
not true advantage has been achieved.“What
we’re seeing is this groundswell of pushing the envelope of what can be
done,” Chow continued. “We’re using these machines and these
capabilities to look in these areas where we know classical methods will
struggle.”He views
the latest study as part of a larger puzzle. “It’s not a singular moment
in time for quantum advantage,” Chow said. “But we’re certainly in this
phase where we’re absolutely using these machines to do real exciting
work.”

https://www.wsj.com/business/autos/ford-ev-electric-truck-7fdb0e0a?mod=RSSMSN&fbclid=IwY2xjawRm8j1leHRuA2FlbQIxMABicmlkETFVOEUwNVMzU1ZvUGVmYjltc3J0YwZhcHBfaWQQMjIyMDM5MTc4ODIwMDg5MgABHurj8Q72uCnyj2qU_pbTBTThzpt4YnF71Rr8HvfnTZzsNdZT6a61B7P_wnsZ_aem_vdiIWp8B1pnJUn06hQWNiQ

https://www.snowflake.com/en/blog/datometry-for-snowflake-teradata-migration/

What is it and is Intel developing it?

I keep hearing the spotify model is dead. Nobody talks about what we are moving to, just what we are running away from. Please tell me not back to waterfall.

Let's go back to on Nike catalog and bring back all the classic shoes and reintroduce them and put them on the pot and create all different kind of crazy color way and bring in rap artists and celebritis that has nothing to do with athletics and do a "collabo"!

What? What is that you say?

You already tried that to death and now you burned the whole market, toasted really well?

Oh, I am sorry, I was not tuned in for last 20 years.

EH you are touchy and sensitive these days.

DXC does not spin up a truly new platform in 12–18 months, especially given their engineering capacity, budget constraints, and the leadership churn you’ve been tracking.

But here’s the real story:

OASIS is built on the same underlying lineage as Platform X — but DXC is deliberately avoiding saying that publicly.

Cybersecurity firm Pentera is laying off approximately 40 employees. This represents less than 10% of its total workforce. The cuts primarily affect marketing and headquarters roles. Pentera is reallocating resources to focus on AI and product development. The company continues to recruit for engineering and AI innovation positions.

https://www.calcalistech.com/ctechnews/article/b1ioncnpzl

TPM
Cons Mktplc Comm
SCPT
IDSA
CIS
MARTECH
FPE OBS
Distribution OB Transit
Product Inno & Design
DAI

For all the Nike hype and innovation that went into the Breaking Two event, I think it's pretty hilarious that it was a couple of ADIDAS runners that broke two hours and set the world record in the marathon in an actual official race!

A great achievement for mankind. Another failure for Nike.

https://wwd.com/footwear-news/sneaker-news/adidas-sneaker-london-marathon-records-1238929791/

Now that DF the champ of west coast software talent rehashing old ideas of low talent Michigan auto engineers out, I sincerely hope someone talk some sense into Ford executive thick heads.

Ford hasn’t shipped anything of significance since FNV2 (feel proud of that era). FNV4 would have been essentially delivered this year. Yet after billions wasted what did we get?
Silicon valley snake oil seller left with 200m and the company got a nothing burger.
Their SDV dream is as good as a dead cow in the canal, effectively years behind any competition.

Never seen waste more splendid than this. Unbelievable!!!

bruhhhh EH if you still didn't get to spot what exactly the cancer here, you are not fit to lead - both intel and nike undergone bloodbaths at the same time and were done and dusted... the turn around you keeps on saying - bruhhh intel achieved it by rallying from 17$ a share to 50$ a share, his first decision was engineering first , he changed the entire culture of the company by going ruthless over rotten & bloated bureaucracy, one of my friend told what exactly the contents of the email - "at present we are the company of managers managing managers and you don't write code / design chips / sell the end product then your job is under review"... innovation blended with engineering is the silver bullet, i swear if the 1400 lay offs you are doing right now doesn't weigh in the lionshare of bureaucracy, then this layoffs are putting lipstick on a pig, where each year that pig is bloating exponentially

Senior Leader claims AI innovation and DMM costs to be blamed for LR.
Thoughts? Are others hearing these claims?

heard that its likely to be the worst ever result for dXc.

Here comes mass WFR - just like Meta, AWS, Microsoft have announced this week... except dXc can't blame AI as the company hasnt worked out the innovation yet, still trying to insert the X factor.

Not the workers, not the managers. Why would we? Innovation isn't rewarded. Improvement isn't noticed. So everyone just does what they've always done and nothing ever gets better.