My book, Practical DataOps: Delivering Agile Data Science at Scale, is available to buy at Amazon (UK), Amazon.com and other retailers. About the book Gain a practical introduction to DataOps, a new discipline for…

I join Paul Laughlin for the 1st ever episode of Customer Insight Leader podcast to talk about DataOps, my new book, Data Products & tips for your career. Here it…

Advances in machine learning algorithms and an explosion in software tools have ushered in a transformative period for business, science and medicine. Machine learning is now one of the hottest topics in the World. However, there is far more to successful implementation of Machine Learning than just creating great models. Algorithms are just the tip of the iceberg when it comes to creating business and customer value from data.

In 2014, with growing traffic numbers and increasing popularity, Moneysupermarket Group found that its on-premises data warehouse was limiting its ability to scale quickly. As a result, it shifted to the cloud to mitigate the costs of storage, but still kept hold of its existing on-premises analytics solution. But as its data needs continued to grow, Moneysupermarket Group realized it needed to shift its analytics to the Google Cloud as well for the flexibility, scalability and ease of use it offers.

By using Google Kubernetes Engine (GKE), price comparison site MoneySupermarket.com has been able to parallelise its data pipeline. This is part of a wider deployment of analytics services on Google’s public cloud. It recently moved to Google Cloud Platform (GCP), which has enabled it to take advantage of the analytics services built into GCP.

A recent Forrester report found that only 22% of companies see a return on investment (ROI) from data science. Given the tantalising opportunities that data science, artificial intelligence (AI) and advanced analytics promise business, why do most initiatives fail?

Paul Laughlin of DataInsightLeaders.com has written a review of my book, Practical DataOps: Delivering Agile Data Science at Scale. Find out why he recommends the book to all data leaders…

MoneySuperMarket uses BigQuery and Google Kubernetes Engine to build a scalable data analytics platform that speeds up development and helps its marketing stay relevant to its customers’ needs.

I had the opportunity to speak at another great Google Cloud Next conference. For those of you who couldn’t make it here are the highlights from #GoogleNext19 London: Cloud Code…