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AI-Driven Layoffs: A Costly CEO Mistake

Laying off skilled employees just because of AI may become one of the biggest mistakes made by many CEOs. AI is a tool, not a complete replacement for human expertise. Companies that remove experienced workers too quickly risk losing knowledge, innovation, quality, and customer trust while facing growing AI costs and mistakes. The smartest strategy is to use AI to support employees, not replace them entirely.


Ansys France R&D Engineers Are Let Go

What is happening right now is not just a restructuring on paper. It is something people are living through every day, with stress, sadness, confusion, and a growing sense of injustice.

Many of the engineers being impacted are not low performers. They are experienced people who carry years of product knowledge. They know the history, the logic, the complexity, the technical choices, and all the invisible work behind the product. They are the people others turn to when things get difficult. Seeing them leave is painful, and it is hard not to wonder what will be left when so much knowledge walks out the door.

And for those who stay, the situation is not better. They are left with uncertainty, heavier workloads, and the pressure to deliver more than before with fewer people. They are expected to keep moving faster, to build better releases, and to carry on as if nothing fundamental has changed. But something has changed. A lot has changed.

For the past two years, teams have been asking for support. More hiring. Better direction. Clearer product decisions. These concerns were raised again and again. People spoke up because they cared, because they wanted the product to succeed, because they could already see the risks ahead. Today, it feels deeply unfair to watch engineering carry the consequences while the deeper product and strategic issues remain untouched.

There is now a real sense of loss inside the teams. People feel lost. People feel demotivated. People are trying to stay professional, but the truth is that morale has been hit hard. When almost half of an R&D organization is affected, this is not a small adjustment. It changes everything. It changes the atmosphere, the trust, the energy, and the belief people had in what they were building together.

This is not written to attack anyone. It is written to say out loud what many are feeling quietly. You cannot remove so many of the people who know how to build, maintain, and improve a product, then expect the same product to become stronger overnight. You cannot ask the remaining teams to do more with less, with more pressure and less support, and pretend this is a normal situation.

Behind all of this, there are human beings. Engineers who gave years of effort, thought, and commitment. Teams who tried to raise concerns early. People who genuinely cared about the product and where it was going. That is why this hurts so much.

Sometimes the real damage is not visible in a headcount reduction. It is visible in the knowledge lost, the trust broken, and the people left wondering how they are supposed to keep going like this.


If all SMEs have been kicked out, how will company run and get IPO

All the top leaders, top contributors have mostly been kicked out or left, there is a real knowledge gap, quality issues, and continuous layoffs that's forcing basically leftover seasoned employees out. How will this company run ? How will it ever get its golden IPO ?? Who will buy Nielsen stocks ??


The migration from SharePoint to Confluence was to open up existing knowledge to contractors and downleveled backfill hires.

SharePoint required an approval of access to see a group’s content.

Confluence is open across teams, unless the author specifically locks content (rare).

Think about it.

Operations teams were trained on ServiceNow because that’s what HCL uses…