Should Marketers Wait for IT?
The customer data which has traditionally resided in the realm of IT (and taken months or years to implement), is quickly becoming more accessible to marketers. In many cases, there’s no need to wait on IT for quick projects. Current marketing technologies put marketers in charge of their own fate; empowering them to track the visitor’s journey, build scores, and enact data-driven actions based on digital activity.
Unlocking Value from Your Data Through Syntasa’s AI Platform
It’s not easy to find the right platform that can handle a variety of data, to aggregate and organize it in a manner that is usable.
Tools to Help You Collaborate with Your Data Science Team
Putting AI/ML models into production is a team effort. Multiple individuals are involved and it takes a great deal of planning and teamwork…
The Power of Personalized Recommendation Engines
Data-driven personalized recommendations are directly impactful for a company’s bottom line: they increase conversions and…
6 Practical Ways AI Can Improve Your Digital Marketing Strategy
Artificial intelligence is increasingly becoming table stakes for today’s marketing teams. Not only is the adoption of AI increasing; it’s having a positive…
The Death of Retail and How Big Data Can Help Revive Them
As digital experiences take over and consumer behavior changes, survival for traditional retail stores hinges on finding a way to compete with…
Why You Need a Cloud-Scale Data + AI Solution
As leading companies look to leverage behavioral data (also known as clickstream data) for their marketing and operations efforts, EDPs will inevitably fall short.
How Behavioral Data + AI Can Transform Your Marketing
In order to truly understand your customers and transform your marketing campaigns for optimal conversion, you’ll need to incorporate…
Customer Engagement Strategies from the Trenches of Social Gaming
Now that brands have defined and built digital customer experiences, it’s time to think about customer engagement strategies which will…
Towards a Next-Gen Data Lake Architecture
In order to generate ROI from our data lake investments, we need to successfully productionise multiple AI-powered programs within our data lake. That is, programs which produce a continuous stream of actionable insights based on the digital, enterprise, and third-party data being stored inside data lakes.