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Modern retailing means collecting enough data on customers so you can offer her a truly personalized buying experience. Both research and real-world experience have made it clear that cookie-cutter customer experiences will not lead to strong enough sales growth no matter how great the product is.
The recent TechCrunch article about Google’s AutoML that lets developers train custom machine learning (ML) models without having to code is just one of many big deals that are changing how ML will be used in Marketing and other fields.
Artificial intelligence (AI) and Machine Learning (ML) have penetrated every sphere and industry. Both play an important role in turning data into assets as part of achieving digital transformation. However, organizations must gain a deeper understanding of their place in the process to effectively leverage them for business and process transformations.
Artificial intelligence (AI) is transforming customer service across industries. Thirty-eight percent of enterprises currently use AI in some form, and use is expected to grow to 62 percent by 2020. In response, Microsoft has integrated machine learning and intelligent data analysis into their Dynamics 365 platform
Over the last few years, a great deal of media attention has centered around big data. Companies are amassing data at an incredible rate, thanks to online shopping, social networks and an ever-increasing number of apps. Marketers have more opportunities to really get to know their customers and find engaging ways to deliver personalized messages.
