Itʼs when ML projects go to the second phase of its existence, where we see the majority of ML programs fizzle out of steam.
Itʼs when ML projects go to the second phase of its existence, where we see the majority of ML programs fizzle out of steam.
After an intense few days on the ground, we’re boiling down the top three takeaways for Experience Makers.
After an intense few days on the ground, we’re boiling down the top three takeaways for Experience Makers.
Customer identity is the highest priority on any list of prerequisites for delivering a data-driven customer experience.
Customer identity is the highest priority on any list of prerequisites for delivering a data-driven customer experience.
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.
Gartner has praised Syntasa’s capabilities to combine clickstream data with enterprise data to deliver a more holistic view of...
Gartner has praised Syntasa’s capabilities to combine clickstream data with enterprise data to deliver a more holistic view of customer behavior.
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.
When a precious new resource is discovered, groups of people will try to stake their claim or debate over who the rightful owner...
It’s a tale as old as mankind. When a precious new resource is discovered, groups of people will try to stake their claim or debate over who the rightful owner should be. Data ownership is no different. Every day companies handling large amounts of data are grappling with this.
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.
