Unless you're a machine and you're reading this, you are in fact a human being. You perceive, make sense of, adapt, and respond to what life presents you. In doing so, you come up with creative acts and solutions, thriving for stability or exciting new outcomes as you go. You do so even if you don't feel yourself to be all that creative. To offset this side of us, we all need a certain degree of methodical focus too.

Kinetiq, the world's first TV intelligence platform to unite paid, earned and owned media, has named Rishit Shah as chief product and technology officer (CPTO) to lead product strategy and technological advancements for the growing company. In this new role, Shah is responsible for designing and implementing a product roadmap to accelerate Kinetiq's platform innovation and align product strategy with customer needs. "Rishit is an important addition to the Kinetiq leadership team and we look forward to working with him to chart a path forward for the company," said Kevin Kohn, CEO, Kinetiq. "With his strong technical and product background, there's no doubt Rishit will play an instrumental role in evolving our product strategy and dramatically scale our platform as we continue to build out a truly unique TV intelligence platform that provides unparalleled insights into paid, owned and earned media." Shah brings deep technical roots and extensive data platform development experience to his new role. Prior to joining Kinetiq, Shah held executive product and technology positions at 7Park Data and Lotame, and launched digital products for The Washington Post.

But rather than nudging out the need for humans, the artificial intelligence might stand to enhance the creative process. Or so the experts say. The implication of AI on design is a major theme of the 21st century, with experts from many fields discussing the AI's entanglements with fashion, design, media, art and beyond. Entrepreneur Camilla Olson was in town to promote her fashion-tech software solution Savitude, which uses AI to recommend clothing based on a shopper's shape and proportions. Before Savitude, Olson founded two predictive modelling companies and designed an eponymous fashion label, both of which informed her insights into solving fashion's fit issues.

Artificial intelligence (AI) has made spectacular progress in the last two decades. Computers can now diagnose medical images, predict customer behaviour, manage financial portfolios, compose poetry, and even generate art. The AI can do some of these things better than humans. As AI marches furiously towards becoming increasingly smart systems, an old philosophical question has returned to haunt us: Is human intelligence qualitatively different from artificial intelligence, or are their differences only quantitative? The revolution in AI is primarily powered by a class of algorithms called artificial neural networks. These algorithms process large quantities of data and extract statistical patterns from it.

In the interview, Paul breaks down the difference between artist and photographer, shares what it was like to get recognized for his work at an early age, and explains why critical praise doesn't always translate to monetary success. After the interview, Rumaan and co-host Isaac Butler talk about why it's so difficult to sum up visual art with language. Send your questions about creativity and any other feedback to working@slate.com

Artificial intelligence refers to simulating the behavior of humans, so that machines can be programmed to perform intelligent behavior and mimic human actions. It is a branch of computer science dealing with building smart machines which can perform actions, typically needing human intelligence. With the availability of huge data, faster computation power, and technology advancement in machine learning and deep learning is providing a paradigm shift in across all the sectors. Artificial Intelligence (AI) in healthcare leverages complex algorithms to emulate human behavior in the data exploration, analysis and training the models, and comprehension of complicated medical and healthcare data. In this article, we will review the key applications of artificial intelligence in the healthcare sector.

Artificial intelligence refers to simulating the behavior of humans, so that machines can be programmed to perform intelligent behavior and mimic human actions. It is a branch of computer science dealing with building smart machines which can perform actions, typically needing human intelligence. With the availability of huge data, faster computation power, and technology advancement in machine learning and deep learning is providing a paradigm shift in across all the sectors. Artificial Intelligence (AI) in healthcare leverages complex algorithms to emulate human behavior in the data exploration, analysis and training the models, and comprehension of complicated medical and healthcare data. In this article, we will review the key applications of artificial intelligence in the healthcare sector.

Dr. Parshotam S. Manhas We're entering a new world in which data may be more important than software -Tim O'Reilly Data Science is the technology that has emerged out as one of the most popular fields of 21st Century due to the onset of Artificial Intelligence and Deep Learning. Data science employs scientific methodologies, processes, algorithms and systems to extract knowledge and useful insights across structured and unstructured data in various forms. It is in fact an empirical concept to amalgam statistics, data analysis, machine learning and their related methods to analyze actual phenomena with data. Data is considered as a'fourth paradigm' of science after empirical, theoretical, computational science and everything about science is changing because of the impact of information technology and the humongous data explosion. Companies employ data scientists to help them gain insights about the market and to better their products. Data scientists work as decision makers and are mainly responsible for analyzing and handling a large amount of data.

As technologies become increasingly capable of taking on a wide variety of repeatable tasks, many workers may find themselves increasingly nervous about their place in the workforce. Anxieties about technology in the workplace are nothing new -- in fact, they go back centuries. The good news is that the fear of humans being replaced en masse by machines has never been borne out by reality. Rather, history has repeatedly shown that as machines transform whole industries, they also create new opportunities for human workers. Indeed, the US is one of the most developed economies, and therefore one of the most automated, but it also currently has record-low unemployment.

COVID-19 has dealt the world a twin crisis. We face not only our greatest global health shock but also our greatest economic shock in a century. With these dual crises comes a twin watershed moment. First, whether for school, work, health or keeping in touch with family and friends, we have realized the deep value of digital technologies. Second, the appetite for change (arguably a more challenging shift to achieve) has grown significantly.