The Future of AI: How Can Model Developers Keep Up?

With 83% of businesses noting that AI is something that they want to prioritize in the coming years, it's unsurprising that demand for data scientists is currently through the roof.[1] Indeed, Google alone requires 30,000 people to work on their machine learning models, showcasing just how much the job market is shifting in favor of programmers.[2] Based on this information, creators may be wondering what the future of machine learning holds for them. It becomes a bit of a minefield out there when technological advancements are outpacing what most people can keep track of. We'd say that preparedness usually yields the best results for algorithm creators, as it allows them to better assess datasets and make necessary adjustments to models over time. So, to make your life as an AI developer easier and keep you on the right path, we've compiled a list of the most important trends to consider when it comes to the future of machine learning.