Over the last decade, the "data revolution" has touched every aspect of our work and personal lives. Today's business challenges have never been more complex, and the critical insights that can address these challenges are often buried in an avalanche of data. In today's marketplace, the business that wins, is the business that "thinks." The viability of a company in the marketplace now depends on its ability to use data and analytics to fuel a thinking business. Companies in industries as diverse as healthcare, retail, banking and manufacturing are already using cognitive technologies to reshape business and do things faster and more efficiently than ever before.

If you're a dog lover, you may have heard of Chaser, the border collie who has been called a "genius" and the "smartest dog in the world." Retired psychology professor John Pilley, Chaser's owner and co-author of a recent book about her, says he was able to teach her 1,000 words, the largest "vocabulary" of any non-human animal on record. Dog lovers and handlers alike tend to agree that some canines are quicker to catch-on, learn new tricks, and solve problems than other dogs. But how do we know that one dog is really smarter than another--possessing greater general intelligence--and not just more talented at specific tasks, such as learning words, or more easily trained? Despite growing interest in dog cognition over the past 20 years, it wasn't until very recently that scientists tried to answer this particular question empirically.

But if, as they say in this electoral season, you're looking to "grow your base," exercising emotional intelligence -- expressing empathy, checking your emotions in a bid to avoid conflict, and investing in personal relationships -- is a strategy that beats narcissism over the long term. A new exploration of how we make friends and influence people rigorously measured the emergence of popularity in small groups -- first-year college students organized into 15 study groups of about 20 in Poland. In the first week of their assignment to a group and then again three months later, 170 of the freshmen named the person or people they most liked in their group. Upon recruitment into the study, each participant completed standard inventories assessing their narcissistic personality traits and gauging their emotional intelligence. The findings: When a group of strangers is thrown together, individuals who score high on narcissism enjoy an early surge of admiration, recognition and friendship among their peers.

This post is by Herain Oberoi, Senior Director of Product Marketing at Microsoft. Just over a year ago, we announced the Microsoft Cortana Intelligence Suite with the goal of helping customers use Big Data, Advanced Analytics and Machine Learning technologies in the cloud to derive insights, predict outcomes and prescribe actions based on their data. Cortana Intelligence provides an end to end set of cloud services and pre-configured solutions to enable line of business departments such as Sales, Marketing, Finance, Operations and more to accelerate their digital transformation projects. A year into the release, Cortana Intelligence has had big impact on customers across healthcare, retail, manufacturing, financial services and government and other industries. The range of creative solutions that our customers have come up with, to address their business needs, has been very impressive.

Microsoft's servers are now powered by optimized custom chips that joined together to translate the entirety of Wikipedia in literally less than a blink of an eye. In a demonstration at Microsoft's Ignite conference on Orlando, Microsoft tapped what it called its "global hyperscale" cloud to translate 3 billion words across 5 million articles in less than a tenth of a second. Microsoft helped custom-design the programmable logic components, or Field Programmable Gate Arrays (FPGAs), that it has added to each of its computing nodes. The company recognizes that smarter, more computationally intensive technologies will require more computing power on the back end, whether those technologies revolve around Microsoft's own Cortana digital assistant--which can now intelligently reschedule your workout to meet your fitness goals--or something that can recognize a distracted drivers, as the automobile manufacturer Volvo is researching. Microsoft's Cortana now includes health-specific information.

Investigators eager to uncover the genetic basis of autism could now have hundreds of promising new leads thanks to a study by Princeton University and Simons Foundation researchers. In the first effort of its kind, the research team developed a machine-learning program that scoured the whole human genome to predict which genes may contribute to autism spectrum disorder (ASD). The results of the program's analyses -- a rogue's gallery of 2,500 candidate genes -- vastly expand on the 65 autism-risk genes currently known. Researchers have recently estimated that 400 to 1,000 genes underpin the complex neurodevelopmental disorder. This newest research provides a manageable, "highly enriched" pool from which to pin down the full suite of ASD-related genes, the researchers said.

As Artificial Intelligence race is on, major tech companies are already developing Chatbots to serve their customer in a better way. Many customer services oriented businesses believe that Artificial Intelligence tool could help their companies. But are not sure if their business is sophisticated enough to implement Chatbots in their systems. While there are some imperatives for implementing an AI-based virtual assistant in your organisation, the entry barrier is much lower than many believe. Chatbots and Service Industry can go together till long extend to solve customer queries efficiently saving human cost and giving customers a pleasant and personalised experience.

Imagine if you could analyze trillions of data points using machine learning algorithms to come up with a list of the absolute best startups to invest in. That's no small task as there are an estimated 23,000 startups in Silicon Valley alone. One startup called SignalFire is doing just that by taking unstructured data from over 2 million data sources and then using machine learning algorithms to pick the best startups to invest in. Wouldn't you be the least bit curious to know which companies they picked? We were extremely interested to know, so we had one of our on-staff PhDs take a look on Crunchbase and lo and behold, 8 startups were listed that SignalFire has invested in so far.

Steam rolled out of the pot, and my kitchen was filled with an intoxicating blend of scents. I'd cooked a turkey ragu before, but as soon as I opened the pot, I knew this would be an entirely different experience. There were the familiar, comforting notes of ground turkey and mushrooms, but there was also earthiness from the beets, the fire of serrano chile, and an unexpected brightness from the coriander seed (coriander seed!). My dinner wouldn't have been out of place at one of San Francisco's trendy food trucks or upscale restaurants, but coming out of my 15 IKEA pot, it was unbelievable. As I mixed in the pasta and ricotta cheese and took the first incredible bite, I realized that A.I. could do a lot more for me than just beating me at Go.

Disruption in the workforce is hardly a new phenomenon. Mechanisation of manufacturing, mass production and the advent of the internet and computers have all changed the way that work is done. Earlier waves of industrialisation have primarily affected low-skilled manual labour and past improvements in technology have typically made jobs at the lower end of the skills spectrum obsolete – for example, flight navigators but not pilots; typists but not data analysts. There is wide acceptance that this has led to productivity improvements and higher economic growth – new jobs were generated that led to improvements in standards of living. The benefits have overwhelmingly outweighed the costs and there has never been a better time to be a human being. The current wave, characterised by automation becoming smarter, machine-to-machine communication, artificial intelligence and continued technological improvements – and otherwise described at the fourth industrial revolution – still brings uncertainty and threatens a broader range of occupations and skill levels.