If you’re a Data Scientist, you’ve likely spent months earnestly developing and then deploying a single predictive model. The truth is that once your model is built – that’s only half the battle won. A quarter of a Data Scientist’s working life often goes something like this: You met with

A recent survey of over 225 enterprise Data Scientists, AI technologists and business stakeholders involved in active AI and machine learning (ML) projects, suggests that for most organizations, it’s still early days for AI technology.  The AI market is projected to become a $190 billion industry by 2025 ( according

With a saturated analytics and business intelligence (A&BI) market, why are we still struggling to make analytics platforms work for Data Scientists? And perhaps more importantly, why are we failing to see a return on our expensive Data Science initiatives? It’s not for a lack of effort, a lack of

If you are a Data Scientist wondering what companies could have the most career opportunities or an employer looking to hire the best data science talent but aren’t sure what titles to use in your job listings — a recent report using Diffbot’s Knowledge Graph could hold some answers for

What algorithms do dating apps use to find your next match? How is your personal data impacting your decision to go on a date? How is AI affecting your dating life?  Find out below. Technology has changed the way we communicate, the way we move, and the way we consume

Can you fight cancer with the help of Big Data and Machine Learning? How can these technologies help in the procedure of diagnosis, drug discovery and treating cancer? Cancer is an ailment with a long tail distribution. This implies there are different explanations for this condition to take place with