#dataandanalytics

https://www.citybiz.co/article/919766/wells-fargo-names-cayetano-gea-carrasco-head-of-ai-and-data-for-consumer-banking/

can someone help explain to people how someone who has no competencies in data, AI, or analytics becomes a chief data and AI officer of a fortune 25 company -- who's frat brother is this guy.? someone must know what connections this guy must have. what a joke this company is...just wow. leadership continuing to show they really have zero clue about anything tech/digital but reportedly they are "experts" - will be our downfall (well one of several)

I am seeing RDA (Reporting,Data and Analytics) emails all around. Are they planning to consolidate all reporting teams under one leadership?

Will there be reorgs or layoffs due to that? Anyone see it coming soon in few weeks or months or later?

Whenever they bring something new, it is mostly brought as cost effective, consolidation and eventually layoffs.

Do we even know what's going on with those teams...?

Ive seen quite a few positions pop-up. Is it stressful?

https://stockstory.org/us/stocks/nyse/tdc/news/buy-or-sell/3-of-wall-streets-favorite-stocks-with-questionable-fundamentals
Teradata (TDC)
Consensus Price Target: $35.73 (40.2% implied return)
Pioneering data warehousing technology in the 1980s before "big data" was a common term, Teradata (NYSE:TDC) provides cloud-based data analytics and AI platforms that help large enterprises integrate, analyze, and leverage their data across multiple environments.

Why Do We Avoid TDC?
Offerings struggled to generate interest as its billings were flat over the last year
Projected sales for the next 12 months are flat and suggest demand will be subdued
Sky-high servicing costs result in an inferior gross margin of 59.8% that must be offset through increased usage

At $25.48 per share, Teradata trades at 1.5x forward price-to-sales.

The only thing I've figured is that non-customer-facing roles will get hit hardest, especially compliance and data analysis. Anyone know more?

Several posts have criticized SAS leadership for not embracing Open Source. Successful companies such as Confluent and DataBricks have used Open Source as their foundation, and added their value on top.

But if SAS had taken that approach, its foundation would no longer be SAS data management and analytics — the core of the company’s revenues.

SAS thus faces the Innovator’s Dilemma. It seems to me that SAS leadership is not against the idea of Open Source in principle, but simply sees no way to embrace it without losing revenue.

Is there a way? How would you integrate SAS with Open Source?