An Infinite Decimal of
Design, Dev and Tech

Digital Experience Agency

Archimedes’ constant – an infinite decimal that refuses to settle into a predictable pattern, much in the same as Pi begins but will never end.

Pi Interactive Digital Marketing Agency (Pii Digital) continues on an infinite orbit of Design, Development and Technical revolutions, adapting and never settling for outdated or repetitive Digital Marketing Services.

An infinite Decimal of Design, Dev and Tech, Pii Digital – a specialist in Web Design, Development and SEO – is a full service, end-to-end Digital Marketing Agency based in four (4) cities across South Africa. Operating out of Pretoria, Johannesburg, Western Cape and KwaZulu-Natal.

Pii Digital employs many of South Africa’s most proficient digital development, creative, media, marketing and adaptive digital marketing services in the industry.

Pii Digital are Deep Development and UX Specialists. Multi-Platform & Multi-Talented.

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In a company, it’s extremely important that everyone works together to contribute to constantly bettering the company and customer experiences. A team of data engineers, data scientists and business analysts can work together to extract meaningful insights from raw data that is collected over time. These insights can provide a company with a competitive advantage and assistance in making informed business decisions. Overtime misconceptions have arisen around the roles that data scientists and data engineers play in industry. In many companies, both roles are thought to be interchangeable, however, they are distinctly different. Let’s have a look at the differences!

 

Great, you’re sorted with Machine Learning and Artificial Intelligence and you’re good to go, right? Wrong. Now you need to think about data collection, algorithms and all the rest of it! Don’t worry, we’re here to help you out! In machine learning (ML) and artificial intelligence (AI), both of which we have covered in previous blogs, there are two main ways that an algorithm can make observations in a dataset, that being through supervised or unsupervised learning. Today we’ll have a look at what the differences are between the two, as well as which would be better for YOU. Let’s get to it.

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