Just before Inauguration Day, inflation data showed that the so-called shelter index—costs, including rent, mortgage payments, insurance, and utilities, that make up the biggest part of inflation—had risen for the 56th consecutive month.
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.
I am just a practical, old time, semi-retired non-tech savvy CPA who struggles to even use a TV remote control. Don’t waste my time with theory.
As the presidential campaign heats up and with a hotly anticipated debate coming between Vice President Kamala Harris and former President Donald Trump, a tax expert is weighing in with his thoughts about the child tax credit and other proposals.
In today’s business world, companies are scrambling to harness the potential of Generative AI. But amidst the excitement, many find themselves unsure of how to maximize the impact of this new technology.