Ten Digital Marketing Predictions For 2019

#artificialintelligence

"The future is much like the present, only longer," said baseball pitcher Dan Quisenberry. Here are some predictions for the future of marketing in the year 2019 and beyond from some thought leaders I polled, plus a few of my own prognostications. Here are predictions from digital growth marketing expert and speaker Lisa Apolinski, owner of 3DogWrite, who I met this year when she asked me to help edit her upcoming manuscript. Let's face it, you don't need psychic powers to know that marketing will become more digital. That means more live streaming, more personalized video messaging, and more curated content with enhanced relevance to micro niches.


Predictions 2017: A year of action

ZDNet

Your business model is under attack, and it's not by your competitors. See where organizations are spending their tech budgets in 2017 and what their top priorities are. Three years ago, Forrester identified a major shift in the market, ushering in the age of the customer. Power has shifted away from companies and towards digitally-savvy, technology-empowered customers. They now decide winners and losers: Our Empowered Customer Segmentation shows that more than a third all US online adults want new and engaging digital experiences.



Embedding Inference for Structured Multilabel Prediction

Neural Information Processing Systems

A key bottleneck in structured output prediction is the need for inference during training and testing, usually requiring some form of dynamic programming. Rather than using approximate inference or tailoring a specialized inference method for a particular structure---standard responses to the scaling challenge---we propose to embed prediction constraints directly into the learned representation. By eliminating the need for explicit inference a more scalable approach to structured output prediction can be achieved, particularly at test time. We demonstrate the idea for multi-label prediction under subsumption and mutual exclusion constraints, where a relationship to maximum margin structured output prediction can be established. Experiments demonstrate that the benefits of structured output training can still be realized even after inference has been eliminated.


Ominous Wall Street predictions hammer bitcoin as price decline continues

Mashable

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