Data scientists are increasingly important to organizations as decisions become more data driven. You need to be able to tell the real and talented data scientists from a charlatan who talks the talk. Here are five questions every data scientist should be able to answer…Read More
From moon shots to innovation at the edge, here’s how to bring data to life inside your organization according to one leading CDO…Read more
“If you ask 10 different people what a data scientist is, you’ll get about 10 different answers,” says Cal Al-Dhubaib. As someone who strives to make others aware about this burgeoning career, Al-Dhubaib defines data science as the process of using programming and statistics to solve meaningful business problems…Read more
What are the top 5 skills needed to become a data scientist? originally appeared on Quora – the place to gain and share knowledge, empowering people to learn from others and better understand the world…Read more
AI is defined by many terms that crop up everywhere and are often used interchangeably. Read through to better know the difference between AI, Machine Learning, and Deep Learning…Read more
How can organizations leverage data as a strategic asset? Data comes at a high price. Businesses must pay for data collection and cleansing, hosting and maintenance, salaries of data engineers, data scientists and analysts, risk of breach and so on…Read more
While artificial intelligence is a hot topic these days, the industry is facing a key problem: Not enough scholars are staying in academia to teach the massive influx of students…Read more
Much of the conversation about machine learning taking jobs focuses on the future, but Microsoft boasted its cloud service has already managed to claim one human’s position…Read more
It isn’t news that marketers across the spectrum are dealing with overwhelming amounts of data. A KPMG study recently revealed that 97% of businesses use data and analytics in some area of their organisation, and research firm International Data Corporation has predicted worldwide revenues for business analytics will reach over £147 billion by 2019… Read […]
It is easy to assume that deficiencies in infrastructure and resources prevent people in developing countries from using data and analytics to their advantage. However, it’s time to debunk the myth that people in these countries aren’t ready to harness the power of data… Read more
