Digital channels have become an indelible part of our lives and how we behave on them is more important than ever.
Digital channels have become an indelible part of our lives and how we behave on them is more important than ever.
One of the biggest challenges with Adobe Analytics is finding a way to quickly, securely, and reliably integrate clickstream data with your big data...
One of the biggest challenges with Adobe Analytics is finding a way to quickly, securely, and reliably integrate clickstream data with your big data...
In today’s hyper-connected world, the question of attribution becomes a far more complex one for marketing teams.
In today’s hyper-connected world, the question of attribution becomes a far more complex one for marketing teams.
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.
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.
In order to manage and succeed in your digital analytics program, it's important to identify a handful of KPIs that reflect...
In order to manage and succeed in your digital analytics program, it's important to identify a handful of KPIs that reflect...
This use case is so underdelivered, it’s almost criminal. That’s why it’s time to get cracking with the ‘brilliant basics’...
It’s tough to find that one use case that serves as the catalyst for change, and which avoids the trap of overloading your teams with cool, shiny new capabilities. And that’s why it’s time to get cracking with the ‘brilliant basics’. The call centre is one of them.
The problem with algorithms is they can be quite narrow minded. GANs, on the other hand, recognise the flaws of machines...
With the exciting emergence of GAN (Generative Adversarial Networks) and a real definition of AI and deep-learning (rooted in speeding up delivery of your business use cases), I'm seeing CTOs and CMOs co-deciding to build it now, recognising that the right tech currently exists to build at scale without masses of technical debt.
Every time a customer visits your site or opens your app, they are leaving breadcrumbs and feeding...
Every time a customer visits your site or opens your app, they are leaving breadcrumbs and feeding your clickstream data. Furthermore, it's AI Assisted Customer Analytics which utilizes machine learning to discover the information you need about your customers so that you can make smarter decisions for your business.
Your customers are craving personalisation and ML does just that, responding instantly in the moments which matter the most.
Your customers are craving personalisation and machine learning does just that, allowing you to respond instantly in the moments which matter the most. Amazon, eBay, Wal-Mart, you name it, are all utilising ML. And if you’re not (that is, if you’re looking at customer data as a static thing), you will quickly lose out.
