AI technologists are in fast pursuit of artificial general intelligence (AGI), with some predicting it could arrive as soon as in the next few years. Just this month, Google outlined their latest step towards AGI with a new AI model that interacts with a convincing simulation of the real world.
JULY 25, 2025 | PUBLISHED IN by Dhaval Jadav alliant Chief Executive Officer If you have any questions about this article, please send us a message. Contact Us Before it…
Open-source technology has been one of the greatest contributors to tech innovation over the past 30 years. The ability to share R&D costs, reuse common code blocks, and accelerate proprietary applications fostered a technological boom that still shapes the digital ecosystem we occupy today.
Open-source technology has been one of the greatest contributors to tech innovation over the past 30 years. The ability to share R&D costs, reuse common code blocks, and accelerate proprietary applications fostered a technological boom that still shapes the digital ecosystem we occupy today.
While AI Agents, or agentic AIs, are being touted as the next leap in human productivity, the unadvertised reality is that, like other AI technologies, they are only as good as the humans that design and use them.
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.