There are several things holding back our use of deep learning methods and chief among them is that they are complicated and hard. Now there are three platforms that offer Automated Deep Learning (ADL) so simple that almost anyone can do it. There are several things holding back our use of deep learning methods and chief among them is that they are complicated and hard. A small percentage of our data science community has chosen the path of learning these new techniques, but it's a major departure both in problem type and technique from the predictive and prescriptive modeling that makes up 90% of what we get paid to do. Artificial intelligence, at least in the true sense of image, video, text, and speech recognition and processing is on everyone's lips but it's still hard to find a data scientist qualified to execute your project.

We've all seen the impact of being data-obsessed in the retail industry. While Amazon shapes the future of its business and the industry at large using insights gleaned from troves of data, many retailers are struggling to implement a data-driven mindset across the organization. Artificial intelligence is the key to unleashing value from retail datasets, particularly those used to forecast future demand. Accurate forecasts are critical for retailers (and the industries that rely on them for distribution, like consumer packaged goods) as they depend on these predictions for revenue and operational management. Forecast too much demand and you'll be left with excess inventory, while a short-sided forecast can leave the consumer empty-handed.

Summary: There are several things holding back our use of deep learning methods and chief among them is that they are complicated and hard. Now there are three platforms that offer Automated Deep Learning (ADL) so simple that almost anyone can do it. There are several things holding back our use of deep learning methods and chief among them is that they are complicated and hard. A small percentage of our data science community has chosen the path of learning these new techniques, but it's a major departure both in problem type and technique from the predictive and prescriptive modeling that makes up 90% of what we get paid to do. Artificial intelligence, at least in the true sense of image, video, text, and speech recognition and processing is on everyone's lips but it's still hard to find a data scientist qualified to execute your project. Actually when I list image, video, text, and speech applications I'm selling deep learning a little short.