Even in an industry as massive, fluid and precarious as tech, AI’s rapid ascension has few parallels. Statements that were hyperbole just six months ago are now commonly accepted to the point of cliche.
Price unpredictability and other cost concerns are proving to be significant barriers to AI adoption for many IT leaders, with outcomes and ROI weighing in the balance.
LinkedIn, the professional networking giant, was recently caught collecting user data to train its generative AI. The controversy was exacerbated by the fact that LinkedIn began this data collection without prior explicit consent from its users.
At the start of each academic year, a thousand new Bryant University students come to campus brimming with questions about everything from class registration and building locations to dining hall hours and WiFi connectivity.
With deals and cross-departmental alignment at year’s end, starting AI discovery in Q4 is essential for organizations looking to adopt AI.
As businesses worldwide race to integrate AI into their operations the biggest roadblock may not be a tech issue but a hiring one.
If I read one more AI article, I’m going to pull what’s left of my hair out!
Whether we like it or not, there is incredible pressure on businesses to adopt AI. That pressure is only increasing as AI spending is expected to grow by nearly 30% over the next four years.
While Gen Z might have a stigma against them in the workplace and employers are already firing them in droves, business experts are warning companies not to let go of their younger employees just yet.
When it comes to filing tax returns, Artificial Intelligence (AI) has become the go-to cure-all for some taxpayers – and more concerning – some tax advisors as well.