What is interesting is how little, year on year, this list changes. Transport investment, skills schemes and relatively fiddly tax incentives feature time and again. I used to be one of those officials: I worked in HM Treasury for three years in the "Productivity Unit". Our job was to study potential investments and problematic regulation to try and spot reforms that would improve the economic output per worker. It is not surprising the Treasury is obsessed by productivity.

Over 3/4 of Marketing Leaders believe the future belongs to Artificial Intelligence. In October 2015, in my post entitled "The Future Of Sales Is AI: Are Your Sales Teams Prepared?" I shared a bold prediction from LeadGenius cofounder Anand Kulkarni: "In just 10 years most salespeoples' jobs will be replaced by artificial intelligence." As I wrote then and as I believe today, sales is not going away. Salespeople are not going away.

Machine learning is promising CMOs the biggest win ever with software that takes the guesswork and gut reaction out of measuring return on investment (ROI) for corporate event sponsorships. The bad news is many CMOs won't have the skills to capture the opportunity. CMOs investing millions in event sponsorships have had fewer options to measure the actual impact on brand exposure until now. According to Forrester research, CMOs need to combine the right and left sides of their brains to engage customers, as well as master technology and analytics for personalized, context-rich experiences. Forrester predicts the demise of 30 percent of CMOS in 2017 who won't be able to bring this fairly unique combination of skills into their marketing practice.

More than 51 percent of users in Asia-Pacific express willingness to buy or use a driverless vehicle when available, but the possibility of being hacked is among key safety concerns. More than 60 percent wanted driverless cars with the intelligence to avoid traffic congestions and able to self-charge using solar energy, according to a Intel-commissioned study. Conducted by Intuit Research, the online survey polled 1,250 respondents across five Asia-Pacific markets: Singapore, South Korea, Taiwan, Japan, and Australia. TPG outbids MyRepublic to snag Singapore's fourth telco license Stringent rules imposed on Chinese live streaming platforms China targets aviation industry to spy and steal secrets Apple held talks to invest up to $1 billion in SoftBank tech fund: Report Among those willing to use a driverless car, 45 percent would concede a high degree or full autonomy to the vehicle. This meant they would allow the system to handle all aspects of driving, even if a human driver did not respond to a request to intervene and under all road and environmental conditions, with no involvement from the human driver.

Researchers will be testing cognitive computing with the BMW i8. IBM Watson could soon be helping you to drive your car, as IBM's cognitive computing unit is set to work with BMW Group to explore how the technology could aid cars of the future. The partnership will see a team of BMW researchers and engineers located at IBM's global headquarters for Watson Internet of Things in Munich, Germany, as the companies work together to develop and improve intelligent assistant functions of BMW cars. BMW's headquarters are also located in Munich. As part of the deal, four BMW i8 hybrid sports cars will also be moved to the Munich Watson IoT HQ, allowing researchers to run prototypes using IBM's Bluemix cloud platform.

Artificial intelligence and smartphones are being trialled to stamp out malaria in remote parts of the Philippines. Technology originally developed for marketers to find Nike ticks and Adidas three-stripes on Instagram has been repurposed to detect the disease in blood samples. A person with no medical training could take a picture of a blood sample with their smartphone, and immediately know whether malaria is present or not. 'If this works, it could be trailblazing, said Marvi Rebueno Trudeau, head of the public-private partnership, including the Shell Foundation and the Global Fund, that is testing the technology. 'The way we're doing it right now, the microscopers collect the blood, make a slide, put it in the microscope.

In fact, 80 percent of businesses reported already incorporating or planning on adding chatbots by the year 2020. That's according to a study pulled together by Oracle, surveying more than 800 decision makers at companies in France, the Netherlands, South Africa and the U.K. Most were in the C-suite -- chief strategy officers and marketing officers; others were senior sales and marketing executives. They were asked about emerging technologies and whether they've already employed them or are interested in moving in a certain direction. In general, the survey found that these leaders are turning to focus on automation-related technologies, specifically implementing chatbots to enhance or fix issues around sales, marketing and customer service. Speaking of customer service, more than 40 percent of those executives said they think automation will improve that experience over the short and long haul.

While robots and computers will probably never completely replace doctors and nurses, machine learning/deep learning and AI are transforming the healthcare industry, improving outcomes, and changing the way doctors think about providing care. Machine learning is improving diagnostics, predicting outcomes, and just beginning to scratch the surface of personalized care. Lumiata has developed predictive analytics tools that can discover accurate insights and make predictions related to symptoms, diagnoses, procedures, and medications for individual patients or patient groups. The Care Trio team has developed a three-pronged approach that helps doctors devise and understand the best care protocols for cancer patients.

While robots and computers will probably never completely replace doctors and nurses, machine learning/deep learning and AI are transforming the healthcare industry, improving outcomes, and changing the way doctors think about providing care. Machine learning is improving diagnostics, predicting outcomes, and just beginning to scratch the surface of personalized care. Imagine walking in to see your doctor with an ache or pain. After listening to your symptoms, she inputs them into her computer, which pulls up the latest research she might need to know about how to diagnose and treat your problem. You have an MRI or an xray and a computer helps the radiologist detect any problems that could be too small for a human to see.

Artificial Intelligence To Identify Your Brain Age using MRI Scans Had you ever thought of calculating your Brain Age..? If no, then here is the chance to determine your Brain Age within seconds with the use of a mere MRI scan. At King's College of London, Giovanni Montana and a few of his pals have trained a machine which works on Artificial Intelligence and can easily calculate your brain age by just using some raw data from a MRI scan. It is called as Deep-Learning Artificial Intelligence machine. This clearly indicates the growth in Machine Learning and Data Mining Applications in today's era. Human intellectual abilities decline with increase in the age and the same is correlated with the anatomical changes in the brain.