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Like it or not, leaders need to manage the mood of their organizations. The most gifted leaders accomplish that by using a mysterious blend of psychological abilities known as emotional intelligence. They are self-aware and empathetic. They can read and regulate their own emotions while intuitively grasping how others feel and gauging their organization’s emotional state. But where does emotional intelligence originate, and how can leaders learn to apply it?

Emotional intelligence is becoming more prominent as a strategy for identifying the potential of leaders, thus developing these demanding skillsets. Emotional intelligence was found to be associated with various aspects of transformational leadership, which implies that it is a vital component of effective leadership. Emotional intelligence, in particular, may elaborate on how great leaders monitor and respond to subordinates, as well as how they make them feel at work.

The primary focus of a leader is to get results. However, getting results is not easy, it is based on leadership style. Goleman's article is an excellent primer on how to apply different leadership styles effectively, which will take you - as a leader - to the next level of leadership excellence.

The article first brushes through current obstacles in scaling and implementing Computer Vision solutions, then goes on to describe the projected latest trends in 2022. These include, CV in Automotive Industry, with frontrunners being top companies researching about ADAS such as Tesla; CV on the edge, which is the potential solution for network accessibility issues; CV in Healthcare, and Agriculture which are becoming increasingly popular subject of research; Neuro-Symbolic AI which can be a huge breakthrough due to it consuming less data; and Banking Transparency.

Ryad Benosman, professor of Ophthalmology at the University of Pittsburgh and an adjunct professor at the CMU Robotics Institute, claims that an important shift is coming with regards to how we teach computers to see the world. The professor believes the idea that computer vision can only work around data that are images, should no longer be the case. Using image-based techniques for computer vision is highly inefficient, as in order to detect anything interesting, the model has to go through thousands and millions of pixels projecting useless information. What did they suggest as an alternative for images-based technique?

Advances in machine learning and digital data provide vast potential for mental health predictions. However, research using machine learning in the field of eating disorders is just beginning to emerge. This paper provides a narrative review of existing research and explores potential benefits, limitations, and ethical considerations of using machine learning to aid in the detection, prevention, and treatment of eating disorders.

Liver cancer ranks among the top 10 causes of cancer related deaths worldwide with high prevalence of tumor recurrence and metastasis after initial treatment. The study conducted by University of Michigan aims to evaluate the effect of histotripsy, a noninvasive sound technology, on tumor progression in rats. The result shows that the treatment can break down liver tumors in rats, kills cancer cells and spurs the immune system to prevent further spread - an advance that could lead to improved cancer outcomes in humans.

Companies across all industries are putting personalization at the center of their enterprise strategies. Based on the ability to capture, analyze, and utilize personalized customer data at scale, companies now use AI to understand, shape, customize, and optimize the customer journey. Since the obvious winners have been large tech companies that have embedded these capabilities in their business models, the authors investigate how cutting-edge companies use intelligent experience engines to assemble high-quality customer experiences, giving them competitive advantages in the market.

Many companies are now overestimating their readiness to meet the challenges of digital customer experience. Therefore, businesses must reconsider their business model for improvement with a long-term strategy of implementing and maintaining digital customer experience and turning them into competitive differentiators.