Don’t quit your day job: Generative AI and the end of programming
AI is something to be learned, tested and incorporated into practices so programmers can focus on understanding and solving problems.
AI is something to be learned, tested and incorporated into practices so programmers can focus on understanding and solving problems.
Generative AI for the enterprise is a phenomenal opportunity for visionary founders to build the FAANG companies of tomorrow.
How openly accessible large language models will promote innovation, reduce cost, and help developers improve them for the greater good.
Quantum robotics is a dynamic field that innovators, scientists and governments are eager to expand. Why sensors and AI are just the start.
Whys CISOs should use storytelling and real-world examples to not just vocalize cyber risk, but make boards feel the impact of it.
Truth and trust have been under attack for quite some time. Why developments in generative AI suggest the trend will continue.
Forward-thinking companies are right to focus on AI now — they just have to be cognizant of the risks along with the potential rewards.
Generative AI already appears to be driving significant change in the realm of predictive analytics.
Why tech leaders must evolve development teams to embrace generative AI code assistants and plan for the next-gen engineering experience.
Identifying the best AI solution for your business is only the first step. You need infrastructure, buy-in, internal expertise, checks and balances.