There is much to admire about the US. The great French social observer Alexis de Tocqueville, nearly 200 years ago, lauded its commitment to civic virtue, individual self-improvement and hard work – legacies of its puritan founders. Those traits are still evident today, but alongside them a darker one has emerged. The US, the hegemon of the 20th century still committed to democracy, has changed. It has transmuted into an imperial power careless of democracy but ever readier to exact economic tribute from its vassal states.

Were you to board an aeroplane piloted by a man who has never previously sat in a cockpit, you'd be alarmed. Were you to face surgery by a woman with no medical qualifications, you'd be frightened. Politics is the one profession that can put someone in a position of great power and responsibility without any prior experience or demonstration of ability. "It's bizarre," Tony Blair says. "In any other walk of life, that doesn't happen." When he became prime minister in 1997 he was in his early forties and an absolute neophyte at governing. He was much better at it, he believes, towards the end of his decade at No 10 than at the outset. So he's written a book about the dos and the don'ts of leadership "because government is a science as well as an art". In the first flush of taking power, leaders "listen eagerly" because they grasp that they know little or nothing about governing.

Described as the Airbnb for data scientists, Kaggle is a crowdsourcing platform for aspirants to nurture, train and challenge their learnings. The search for "Kaggle" has increased by 55 percent over five years, and the platform has over 8 million users across 194 countries. While the platform trains several aspirants, it also has many established data scientists. Analytics India Magazine analysed the top 100 Kaggle grandmasters as of April 2022 to explore the top companies represented by them. Here's the latest breakdown of what users do on Kaggle.

India is an agriculturally-driven country with 70 per cent of its rural households still dependent primarily on agriculture for their livelihood. With technology advancing rapidly and making its way into different sectors, agricultural space has welcomed it next. Farmers, who are the backbone of the agricultural sector, will not have to worry about climate uncertainties, vague soil condition knowledge, and water and pest issues due to the technological innovations that Indian agritech companies are bringing into the picture. They can make informed decisions backed by sophisticated tools that can give them better returns, uplift their lifestyles and ultimately make India's agricultural productivity numbers grow. Ninjacart is a business-to-business fresh produce supply chain that connects farmers and manufacturers to retailers directly.

The company uses tech like big data analytics, artificial intelligence, and machine learning to create an interconnected network of stakeholders at …

The Artificial Intelligence for Healthcare Applications market report provides with a comprehensive analysis of this business space and comprises …

In the digital world, we use the term'futuristic organization' to represent companies that are making maximum use of technology. The dominance of artificial intelligence in the commercial space has brought up hope even to falling economies. Fortunately, organizations are adopting disruptive trends like machine learning and its applications to automate decision-making. Machine learning applications are enabling companies to expand their growth and optimize the process. They also help employees engage in intellectual task and increase customer satisfaction. Corporate investment in artificial intelligence has tripled since 2017 and is expected to reach US$100 million by 2025.

What will the market size be in 2027 and what will the growth rate be? What are the key market trends? What is driving this market? What are the challenges to market growth? Who are the key vendors in this market space?

Now available with Market Study Report, LLC, this report on 'Artificial intelligence (AI) Chips Industry Market' delivers a succinct analysis on industry size, regional growth and revenue forecasts for the upcoming years. The report further sheds light on significant challenges and latest growth strategies adopted by manufacturers who are a part of the competitive spectrum of this business domain.

The Artificial Intelligence (AI) In Fintech Market report predicts promising growth and development during the period 2020-2027. The Artificial Intelligence (AI) In Fintech Market survey report represents vital statistical data represented in an organized format such as graphs, charts, tables, and figures to provide a detailed understanding of the Artificial Intelligence (AI) In Fintech Market in a simple manner. The report covers an in-depth analysis of the Artificial Intelligence (AI) In Fintech market and offers key insights on current and emerging trends, market drivers, and market insights offered by industry experts. The report examines the impact of COVID-19 on market growth. The study provides comprehensive coverage of the impact of the COVID-19 pandemic on the Artificial Intelligence (AI) In Fintech market and its key segments.