By leveraging Data Science, AI, and other digital technologies, the healthcare industry could build complementary health solutions that are personalized to the specific needs of patients. Here is how and why.  The world population grows by more than 80 million per year, according to a 2017 report by the United Nations.

Aleksandar Kovačević, Sales Engineer at InterSystems, shares how companies use MLOps combined with a central multi-model database to get the most out of their machine learning initiatives.  Artificial Intelligence (AI) and Machine Learning (ML) are hot topics at the moment. But when it comes to producing quantifiable results, there is

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

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

What is the promise of AI to radiologists? How will the future customize preventive medicine using cross-functional data, like genomics and historical data? Read on.  One hundred and fourteen years ago, the first Röntgen Congress was held in Berlin to explore Wilhelm Conrad Röntgen’s discovery, X- Rays, a medical miracle

As a relatively new role, “data guru” is a challenging job specification to draft for. Organisations are seeking highly-skilled and well-educated individuals to fulfil the position but, the truth is, the data scientist an organisation needs is not a guru, but a colleague. Most organisations forget that recruiting the right

Although there are lots of similarities across Software Development  and Data Science , they also have three main differences: processes, tooling and behavior. Find out. In my previous  article, I  talked about model governance and holistic model management. I received great response, along with some questions about the differences between