Millennials now make up the largest generation in the U.S. workforce, outnumbering employees from the Generation X and baby boomer generations. And with the Artificial Intelligence (AI) revolution coming into full swing, the "future of work" is looking gloomy for Millennials. In Carl Frey and Michael Osborne's "The Future of Employment: How Susceptible Are Jobs to Computerisation? study, they analyzed the number of jobs at risk to technology, and according to their estimates, about 47 percent of total U.S. employment is in the high-risk category of being replaced by automation such as that produced by robots. A McKinsey & Company report states that "half of today's work activities could be automated by 2055, but this could happen up to 20 years earlier or later depending on various factors, in addition to other economic conditions." The report says they are most prevalent in manufacturing, accommodation and food service, and retail trade, and include some middle-skill jobs. So what generation is most at risk? Gallup conducted their own research using Frey and Osborne's calculations, determining each generation's susceptibility to losing jobs to AI. According to Gallup's analysis, "millennials are the generation most vulnerable to the threat of AI and automation, as they are disproportionately more likely to hold positions that Frey and Osborne estimate as having a strong likelihood to one day be replaced by this new technology." Should millennials start panicking now? Well, that depends on your current occupation. Nearly four in 10 millennials (37 percent) are at high risk of having their job replaced by automation, compared with 32 percent of those in the two older generations, stated the Gallup report. Career analysts say that the work millennials do early in their careers are easier to replace because they haven't accumulated the job skills of older, more experienced workers who do more complex work requiring problem solving. In other words, at the risk of offending millennials, the work many of them do are simple enough for AI or automation to take over. But really, no millennials -- whatever their jobs -- are safe from AI. Jason Dorsey, Chief Strategy Officer at The Center for Generational Kinetics, and a millennials expert, tells Forbes, "[T]he jobs at risk of being replaced by AI are not just the entry-level jobs that people typically assume, but rather the repetitive white collar jobs such as in accounting and financial services.

The saying goes that'power corrupts', and a new study suggests there may be some truth behind this - especially when it comes to brain function. Researchers have found that CEOs and other leaders may suffer damage to their brain as a result of their rise to power. The damage results in the loss of the ability to read other people's emotions, which could explain why people who achieve great power lose their ability to feel empathy for the less powerful. Neuroscientists at McMaster University in Ontario used transcranial magnetic stimulation to discover the lack of empathy in people who feel powerful. Forty-five volunteers took part in the study.

Overall investment in automation technologies – including robotic process automation (RPA), autonomics, virtual customer service agents and personal assistants, natural language processing and machine learning – is expected to double in the next two years, the survey finds, as enterprises look to harness technologies that have the flexibility to solve more than one business problem. "Automation and artificial intelligence are top of mind for business executives and service providers alike – and with good reason," said Todd Lavieri, partner and president of ISG Americas. "Robotic process automation, autonomic systems and cognitive agents are making employees more productive by taking over routine, process-oriented tasks. At the same time, data scientists are using machine learning to find patterns and make predictions on vast troves of structured and unstructured data. These technologies, taken together, promise to usher in the next wave of enterprise growth and profitability."

The ability to recognise faces was thought to be too complex for a fish, but a new study suggests that this might not be the case. Scientists have found that the tiny striped Masked Julie, which lives among the rocks of Lake Tanganyika in East Africa, can distinguish a friend from a foe. The species detects patterns around the eyes to distinguish individual faces, a skill thought to be limited to mammals and birds. Scientists have found that the tiny striped Masked Julie (pictured) can distinguish a friend from a foe by detecting unfamiliar patterns around the eyes. Eight adult male Masked Julie fish were placed them in a tank by researchers at Osaka City University.

Exactly 50 years ago today, the Monterey Pop Festival opened its gates and kicked off what later became known as the San Francisco "Summer of Love." To celebrate the anniversary, Northern Light (www.northernlight.com) is unveiling two radical innovations in strategic market research portals that it will begin delivering to customers this summer. This announcement marks the beginning of Northern Light's "Summer of Love (For Our Customers)." The innovations are embedded in SinglePoint version 11, a new release of Northern Light's strategic research platform for competitive intelligence and market research insights used by hundreds of thousands of professionals at global enterprises. Version 11 features a mobile-first, responsive user interface built with Material Design, Google's set of state-of-the art application interface principles, guidelines, and UI treatments that are becoming an industry standard for web application design.

Google'machine learning' - I dare you. Machine learning is the'big data' of our time, hopelessly hyped up with outlandish applications for any and every application and business sector under the sun. Machine learning is ranked as a buzzword by Gartner, at the very top of their peak of inflated expectations; in this excitable environment how can businesses cut through the noise and find practical applications for these novel technologies? The key is to realise that'machine learning' by itself doesn't actually mean very much: it's a stand-in phrase for a diverse array of technologies which, broadly speaking, mean computer systems learn from feedback loops and improve themselves. Much ink has been spilled on predictions for how machine learning technologies can be applied, ranging from calculating the best time to serve advertisements to predicting the risk of heart failure, but this isn't exactly helpful for the average business.

Contrary to the bleak picture painted by critics, a new IDC study of more than 1,000 organisations worldwide shows that AI will be in the workplace "sooner than we think", and will have a positive impact on productivity, revenues, and job creation. From 2017 to 2021, the Salesforce-sponsored study predicts that AI-powered CRM activities will boost business revenue by $1.1 trillion, and create more than 800,000 direct jobs and 2 million indirect jobs globally, surpassing those lost to AI-driven automation. The business revenue boost will be led primarily by increased productivity and lowered expenses due to automation, which account for $121 billion and $265 billion of the $1.1 trillion sum, respectively, according to the study. Keith Block, vice chairman and COO at Salesforce, said the impact of AI for the CRM market will be "profound" in that it will enable "new levels of productivity". "The convergence of increased computing power, big data, and breakthroughs in machine learning have meant artificial intelligence is set to transform the lives of workers, especially those that are already using CRM technology, by helping them be more productive in their development of more meaningful connections with customers," added Robert Wickham, RVP of Innovation and Digital Transformation at Salesforce APAC.

The latest release from Artesian Solutions builds on its leading enterprise engagement platform to establish the foundations of an Artificial Intelligence future that promises a revolution in the effectiveness of sales and commercial teams. Launched today, the latest release includes an Artificially Intelligent'Insight Agent' - the first step in a series of intelligent chat bots aimed at automating many of the tasks carried out by B2B professionals daily. With the use of Artificial Intelligence techniques such as advanced natural language processing and behavioural analytics, Insight Agent monitors an individuals or company opportunity pipeline, continually looking for triggers from over 1 billion news and commercially relevant social media articles every year, learning and filtering based on individual user requirements. This allows it to deliver commercially valuable and immediately actionable insights, telling the user what they need to know and what action they need to take. The result is a step change in commercial productivity and customer engagement resulting in improved sales forecasting and increased pipeline velocity.

Princeton's two-year master in finance programme was established in 1998. It is run within the Bendheim Center for Finance, the university's interdisciplinary research hub. Its typical intake of students is around 30 – deliberately smaller than some larger rivals, says Wendell Collins, programme co-ordinator. Princeton is a small university; so is the programme. There's a customised collegial atmosphere where people really get to know each other: the faculty members, alumni mentors.

This article on going deeper into regression analysis with assumptions, plots & solutions, was posted by Manish Saraswat. Manish who works in marketing and Data Science at Analytics Vidhya believes that education can change this world. R, Data Science and Machine Learning keep him busy. Regression analysis marks the first step in predictive modeling. No doubt, it's fairly easy to implement.