With artificial intelligence (AI) deployments carrying many risks if not deployed properly, we explore the most important skills for workforces to have Just as technologies
Everything Artificial Intelligence has ever been, hopes to be, or currently is to the enterprise has been encapsulated in a single emergent concept, a hybrid
Whether you can call yourself a data scientist if you can’t code is as hotly debated as Brexit. Type the question “Can you be a
The term “big data” first emerged fifteen years ago to put a name to the increasingly large, diverse, and complex volumes of data that could not
Like any good story arc, we’ve come a long way since the origins of data analytics. The first phase of BI started with rigid, IT-owned
Hot jobs go in waves, and not surprisingly, the information technologies sector is as prone to following fashions as religiously as teenagers. There is a
A data scientist is a professional who deals with a colossal amount of information, analyses it, and helps organisations to derive actionable insights from data.
SAS and Microsoft are jointly announcing today a strategic partnership making Azure the preferred cloud platform for SAS’s analytics portfolio. Although nothing is firm at
Summary: If you’re still writing code to clean and prep your data you’re missing big opportunities for efficiency and consistency with modern data prep platforms.
For close to two decades now, vendors, analysts and pundits have been predicting the death of the spreadsheet, as executives, managers and professionals move on
As advanced analytics and data science have matured into must-have skills, data science groups within large companies have themselves become much larger. This has led
For data analysis, I have always emphasized that the core is the business. We associate the analysis logic of the business with the processing logic
