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Separating Predictions from Decisions

Separating Predictions from Decisions: Model Execution and Decision Engine Introduction Before the 1960s, Predictions and Decisions were mixed together in the area of credit granting to varying degrees. “Should an enterprise decide to accept your application for credit?” is a question that requires assessing your creditworthiness which ultimately entails predicting whether you will repay. Originally, [...]

A-Z of Artificial Intelligence, Part 3

A-Z of Artificial Intelligence, Part 3 Introduction This three-part article covers the thirty terms that the BBC has identified you need to understand in order to understand artificial intelligence (AI). Much of this three-part series is based on an excellent article I read on the BBC website Artificial intelligence is arguably the most important technological [...]

A-Z of Artificial Intelligence, Part 2

A-Z of Artificial Intelligence, Part 2 Introduction This three-part article covers the thirty terms that the BBC has identified you need to understand in order to understand artificial intelligence (AI). Much of this three-part series is based on an excellent article I read on the BBC website. Artificial intelligence is arguably the most important technological [...]

A-Z of Artificial Intelligence, Part 1

The A-Z of Artificial Intelligence, Part 1 Introduction This three-part article covers the thirty terms that the BBC has identified you need to understand in order to understand artificial intelligence (AI). Much of this three-part series is based on an excellent article I read on the BBC website: https://www.bbc.com/future/article/20230717-what-you-should-know-about-artificial-intelligence-from-a-z Artificial intelligence is arguably the most [...]

Data Analytics Terminology, Part 2

Data Analytics Terminology, Part 2 Introduction This is the second in a series describing data analytics terminologies. Data analytics is important to understand as without a firm understanding of data and data analytics, there can be no firm understanding of Artificial Intelligence and how best to maximise its value. This topic can be somewhat ‘dry,’ [...]

Data Analytics Terminology, Part 1

Data Analytics Terminology, Part 1 Introduction Just a few years ago “blockchain” and “Bitcoin” were two words on many peoples lips. This year, with the rise of ChatGPT and others, the new phrase is “Artificial Intelligence” (“AI”). A good friend of mine travels to the USA twice a year on business and contrasted the difference [...]

Meet the ADEPT Decisions Management Team – Eva Neves

Meet the ADEPT Decisions Management Team - Eva Neves Introduction The entire ADEPT Decisions team has always strived to provide the ‘personal touch’ to our clients; whether it means going the extra mile on a project, accommodating short-notice configuration changes, or just providing a sounding board to the credit risk team. We believe that this [...]

How to deploy your Machine and Deep Learning Models

How to deploy your Machine and Deep Learning Models The importance of ModelOps (Model Operationalisation) cannot be stressed enough. This typically includes a number of the less sexy, but incredibly important, aspects of productionising models. These include ensuring that models are moved rapidly and robustly from the development or ‘lab’ environment, through the validation, testing [...]

Using Alternative Data to Increase Contact Centre Success

Using Alternative Data to Increase Contact Centre Answer Success Rates As somebody who has worked with all aspects of outbound call centres for many years, I realised early on that one of the biggest challenges facing these businesses is the ability to reach and connect with prospects and customers. In the current times, customers are [...]

AI vs. Machine Learning – What’s the difference?

Artificial Intelligence vs. Machine Learning – What’s the difference? A plethora of sometimes confusing terms related to Data Science are currently being bandied around. It seems that almost every other person working in analytics calls themselves a Data Scientist, waxing lyrical about features and targets, NumPy, pandas, pickles and, if you are really (un)lucky, beautiful [...]