Epidemic outbreaks can cause critical health concerns and severe global economic crises. For countries or regions with new infectious disease outbreaks, it is essential to generate preventive strategies by learning lessons from others with similar risk profiles. A Strategy Transfer and Decision Support Approach (STDSA) is proposed based on the profile similarity evaluation. There are four steps in this method: (1) The similarity evaluation indicators are determined from three dimensions, i.e., the Basis of National Epidemic Prevention & Control, Social Resilience, and Infection Situation. (2) The data related to the indicators are collected and preprocessed. (3) The first round of screening on the preprocessed dataset is conducted through an improved collaborative filtering algorithm to calculate the preliminary similarity result from the perspective of the infection situation. (4) Finally, the K-Means model is used for the second round of screening to obtain the final similarity values. The approach will be applied to decision-making support in the context of COVID-19. Our results demonstrate that the recommendations generated by the STDSA model are more accurate and aligned better with the actual situation than those produced by pure K-means models. This study will provide new insights into preventing and controlling epidemics in regions that lack experience.

Dr. Velkoski serves as Director, Data Science at the National Association of REALTORS and Adjunct Professor at DePaul University. It has been nearly eight years since data scientist was declared the sexiest job of the 21st century. As senior professionals demonstrating the talent and creativity necessary to transform raw data into deep, intuitive knowledge, data scientists were poised to revolutionize decision-making and strengthen organizational performance. According to PwC's 22nd Annual Global CEO Survey, organizations continue to struggle to extract actionable intelligence from data. Those that participated in the survey highlighted a lack of analytical talent, data silos and poor data reliability as the main causes for the absence of progress.

Incoming European Commission President Ursula von der Leyen has pledged to present an EU approach to Artificial Intelligence (AI) within her first 100 days of taking office. However, the clock is already ticking and the EU needs to look at boosting the uptake and development of AI now while safeguarding citizens' rights, values and principles. This is an opportunity to not only build a framework for'Trustworthy AI', but also to take a leading role in AI to society's benefit. To do this, there are three points to keep in mind: working with the tools that we have, applying agile and inclusive policymaking, and boosting investment. To start, let's not fall into the trap of limiting or overregulating the market.

Technology, with its rapid evolution has been taking several industries across India by storm. Most experts in their field are welcoming developments like Artificial Intelligence (AI) and Internet of Things (IoT) due to their effectiveness and lack of human involvement in accomplishing a host of tasks. With regards to the business of saving lives, this evolution is truly a relief, with speed being the biggest advantage, which the healthcare industry of the country is reliant on. AI has been making inroads in this sector to ensure not just a quick turnaround, but also accessibility to those in dire need of medical aid and care. IoT too, is gradually being recognised as a key contributor to cause a paradigm shift in the industry.

In the 2012 sci-fi film'Prometheus', a robot is seen performing surgeries albeit without human control. While that may be a bit far-fetched -- as reel life is -- Artificial Intelligence (AI) in healthcare is here to stay -- whether we like it or not. AI is making inroads into healthcare like never before with a promise to make healthcare faster, accessible to everyone and cut costs. Cut to India, and the health challenges are many and diverse. There is apalpable human resource shortage and often, healthcare does not reach remote areas.