Today special attention is focused on the development of mobile applications that can be used for contactless payments, shopping online, e-learning and whatever we can im...
Data scientists are disappearing. No, not in the physical sense (no rapture here), but in the job market. The term “data science” has been a catch-all term for years,...
Summary: Reinforcement Learning (RL) is going to be critical to achieving our AI/ML technology goals but it has several barriers to overcome. While reliability and a ...
Through exposure to the news and social media, you are probably familiar with the fact that machine learning has become one of the most exciting technologies of our time....
You can always learn a lot from the papers presented at NeurIPS There is some good analysis already on the web. From Chip Huygen – neurips 2019 analysis and from David ...
Thomas Edison famously said that success is 90% perspiration and 10% inspiration. That’s nowhere truer than in machine learning. Even though the hype around artificial ...
Ah, it’s that time of year when everyone is making predictions about next year and extrapolating from the previous year’s trends to create logical, pragmatic predicti...
How secure is your data? What measures do you take to hide your confidential data? Can you confidently say that data breaching stands nowhere close to your security? Data...
AI, machine learning, cloud, self-service, data governance, etc…there is no shortage of buzzwords in data today. Every organization is seeking to outpace their competit...
Technology decision-makers are (and also should keep) seeking methods to successfully carry out artificial intelligence innovations into their businesses and, therefore, ...