Data Therapy Session #2: “What makes you think you’re better?”

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.

Data Therapy Session #1: I’m Fine, Leave Me Alone

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.

What’s Your Customer’s Next Move?

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.

It’s the Thought That Counts

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.

Eric Siegel on the State of Predictive Analytics

When you think of someone in predictive analytics, which person comes to mind? For me, it most definitely is Eric Siegel.

When you think of someone in predictive analytics, which person comes to mind? For me, it most definitely is Eric Siegel. Here's what he had to share about the state of predictive analytics today. 

Retailers Can Have Their Bricks and Click Them Too

Despite what you might have read, retail is not dying. With the right omni-channel strategy they can outperform...

Despite what you might have read, retail is not dying. Sure, brick-and-mortar retailers today face significant competition from their digital counterparts. But with the right omni-channel strategy, they can outperform online-only stores by providing the best of both worlds.

Are Homemade Customer Analytics Applications Better?

Your team may be perfectly capable of building an infrastructure and enterprise application. But what happens when…

Your team may be perfectly capable of building an infrastructure and enterprise application. But what happens when you have to build for a more specialized function, such as predictive behavioral analytics? More often than not, the necessary skill sets for building these kinds of applications fall outside the scope of your team.

Rules-Based Attribution Models Are Made to Be Broken

When it comes to data analytics, rules are a knock-off version of truly, data-driven models.

When it comes to data analytics, rules are a knock-off version of truly, data-driven models.

This is Going To Be Yuge

If you want to make your business great again, you gotta know who your customer is.

If you want to make your business great again, you gotta know who your customer is. We need to take our customer back to being great again.