Technology – The beating heart of AI
If data is the lifeblood of an AI solution, technology is the heart that keeps the blood pumping. The science behind AI and ML algorithms hasn’t changed dramatically in the last 30 years – it is the advent of cheap, scalable computing power hosted in the Cloud that is driving the conversation around AI today. […]
Data – the lifeblood of your organisation
The cost of poor data quality and inadequate data management is at an all-time high and increasing as we speak. 90% of the world’s data has been created in the last two years, with poor data quality costing large organisations an average of $9.7 million per year. It’s unsurprising then that a recent survey of […]
Don’t ask too much from your Data Scientist
Data science as a profession is still extremely new. Data and statistical modelling were used to make predictions long before data scientists existed, but this role has become more established as the world shifts towards a data-driven approach. As a result, the specification for a perfect data scientist still lacks clarity. To be considered for […]
Four steps for setting an effective cloud strategy
As we discussed in our earlier article and detailed in a short video, a cloud strategy remains an important artefact for organisations that are looking to use cloud-based tools and technologies to meet their business objectives. The strategy shouldn’t be a hefty tome, nor should it be a rigid set of rules that the organisation […]
Why a cloud strategy is still important
90% of organisations are already using the cloud in some way and the market is predicted to grow to well over $500bn in the next three years. Whether it’s a software package, an aspect of your infrastructure, or your entire platform, it’s almost a certainty that you will be using cloud now or at some […]
Energising data science
There are few industries that have remained completely unaffected by data science; its applications are simply too widespread. Industries that previously did not have a data driven approach now have the opportunity to make up for lost time. Although Woodhurst’s primary focus is Financial Services, the energy sector provides some great examples of how data […]
Data challenges for AI: Woodhurst’s podcast debut
Last week I was interviewed by Kyle Winterbottom for the upcoming Data Leaders of the North podcast. The podcast series will cover a range of topics on and around data. From building a Data Eco-System to creating a Data Culture; expanding into large-scale Tech Change and productionising AI. I was there to talk about our […]
5 questions to ask SaaS vendors
I have implemented Software-as-a-Service (SaaS) for start-ups with a couple of employees, to enterprises operating in 30+ countries with hundreds of thousands of users. That’s the beauty of SaaS, you can access software with more features than you can dream of. If sign up for a CRM tool that’s being used by some of the […]
Three areas of progression in data science
The amount of data being created and made available today is extraordinary. According to a study by PWC, the accumulated digital universe of data will have grown ten-fold in the last 6 years. To put that in perspective, there are now 40 times more bytes than there are stars in the entire observable universe. Hence […]
Would you buy a house by looking through the letterbox?
Traditional transaction monitoring systems use a number of algorithms to assign a risk score to any given transaction. If that risk score exceeds a threshold then the transaction may be blocked and will require further investigation. For example, withdrawing £100 from an ATM is unlikely to trigger an alert for investigation. However, withdrawing £100 at […]