
Data & Data Culture
How CtrlS Builds for Scale as Compute Demands Climb
Across the country, data centers are scrambling to scale up as AI applications fuel a sharp rise in computing and storage needs.
Across the country, data centers are scrambling to scale up as AI applications fuel a sharp rise in computing and storage needs.
After lagging behind on past tech revolutions such as e-commerce and smartphones, global corporations are racing to adopt artificial intelligence in a bid to avoid being left behind once again, The Wall Street Journal reported.
Pointing to the earlier waves of disruption such as the rise of the internet and cloud computing, Krish said concerns over job losses have surfaced with every major technological breakthrough, adding that “it’s wrong to look at it through the lens of job loss and it is more an opportunity to transform skill.”
Tech debt prevents organizations from deploying AI solutions that could reshape how they compete. The stark reality is that with AI poised to penetrate every business function, all technical debt is becoming AI technical debt.
Talent management software promises efficiency and objectivity, but in practice it can limit company-specific talent strategies.