This week’s roundup gives a nod to AI and IoT trends which have found early adoption by marketers. Also, the head of US Media for Anheuser-Busch talks about today’s data-driven era and why marketers still do things that they cannot measure. Lastly, we try to decipher the right tools for marketers and find ways of applying supervised predictive models to marketing campaigns.
A New Customer Experience, How AI is Changing Marketing
by IBM Watson Marketing featured on MarketingLand.com
Think of Artificial Intelligence as a machine-powered version of humankind’s cognitive skills. These machines can interact with humans in a way that feels natural, and just like humans they can grasp complex concepts and extract insights from the information they’re given. AI has the capacity to create richer, more personalized digital experiences for consumers, and meet customers’ increasingly high brand expectations.
The State of IoT Intelligence 2018: Adoption Trends and Advanced Analytics
By Louis Columbus, Technology Author & Blogger featured on CloudTech.com
The 2018 IoT Intelligence Market Study, concentrates on end-user interest in and demand for business intelligence in IoT and examines key findings of IoT. One of the biggest takeaways this year was the finding that sales, marketing, and operations had been the most active early adopters of IoT today.
Why Marketers Do Things They Can’t Measure
by Paolo Provinciali, head of US Media at Anheuser-Busch InBev, featured on AdExchanger.com
With increasing amounts of data available to marketers, being a data-driven marketer has become a badge of honor in the industry. In spite of celebrating a data-driven approach, the advertising industry still spends an enormous amount of money and resources on efforts with a limited degree of measurability. Why?
The Decisioning Dilemma: Getting the Right Combination of Marketing Tech to Optimize Engagement
By Alex Yoder, Executive Vice President of Analytics, for Merkle featured on MarketingLand.com
There’s no shortage of technology platforms available to help marketers understand, target and communicate with consumers more effectively. However, what marketers do need to understand is which combination of tools will support and help automate intelligent decision-making.
Robotic Modeler for Marketing Campaigns
By Alex Glushkovsky, Principal Data Scientist, BMO Financial Group featured on PredictiveAnalyticsWorld.com
Businesses run a significant number of marketing campaigns trying to boost sustainable performance and to increase customer satisfaction and loyalty. It is critical to not only measure post-campaign results but to also derive the highest level of insight possible to support future optimized campaign decisions. The latest trend can be done by applying supervised predictive models to marketing campaigns.
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