Big data has already transformed how many industries operate. Now that the pandemic has accelerated digital transformation around the globe, the field has grown faster than most could have predicted. This unprecedented growth will undoubtedly bring considerable disruption in 2022. Big data will disrupt industries further as new challenges and

Artificial intelligence (AI) has been around for decades, but only recently has it begun to emerge as a viable field with massive commercial opportunity. Why now? The proliferation of data. Data is the fuel that feeds AI and is opening opportunities that we can only have imagined until now. And,

2015 was a good year for data science. A cursory glance at any tech jobs board reveals the sheer breadth of companies looking for data science expertise. Technical terms such as machine learning are slowly entering the public consciousness. Many people still don’t realise how much data science touches their

Brad Klingenberg is the Director of Styling Algorithms at Stitch Fix in San Francisco. His team uses data and algorithms to improve the selection of merchandise sent to clients. Prior to joining Stitch Fix Brad worked with data and predictive analytics at financial and technology companies. He studied applied mathematics

2014 was a fantastic year for data science. Funding rounds were huge, the mergers and acquistions space was active all year, data science skills proved to be the hottest of the year. But will data science continue to flourish in 2015? We asked four industry experts- working in AI, big

Who Will Be the Next Character to Die in Game of Thrones? It’s a question that is likely to have been brought up in your social circle at some point in the last couple of years – and a perfect opportunity to arm yourself with predictive analytics. Richard Vale, a