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.

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.

Google's search results currently tell people that the Holocaust didn't happen, and aren't going to be changed. Searching for "did the holocaust happen" on Google brings up a first result from Stormfront, the neo-Nazi website. The title of the piece is "Top 10 reasons why the holocaust didn't happen", and anyone clicking through sees a list of Those proclaimed reasons include a suggestion that since "there were survivors", nobody can have been killed in the supposedly fictional mass execution of Jews during the Second World War. In its facilities, JAXA develop satellites and analyse their observation data, train astronauts for utilization in the Japanese Experiment Module'Kibo' of the International Space Station (ISS) and develop launch vehicles 32/39 The robot developed by Seed Solutions sings and dances to the music during the Japan Robot Week 2016 at Tokyo Big Sight. At this biennial event, the participating companies exhibit their latest service robotic technologies and components 33/39 The robot developed by Seed Solutions sings and dances to music during the Japan Robot Week 2016 at Tokyo Big Sight 34/39 Government and industry are working together on a robot-like autopilot system that could eliminate the need for a second human pilot in the cockpit 35/39 Aurora Flight Sciences' technicians work on an Aircrew Labor In-Cockpit Automantion System (ALIAS) device in the firm's Centaur aircraft at Manassas Airport in Manassas, Va.

I've written before about the apparent shift in healthcare whereby making sense of the vast quantities of data produced within the system is key to successful treatment of patients. Nowhere is this moreso than in cancer care. For instance, a team from UCL utilized deep learning earlier this year to more accurately identify cancer cells. This trend is continued with a second study, which aims to make sense of the cancer data currently sitting in the cancer registry program that's coordinated by the National Cancer Institute (NCI) and the Centers for Disease Control and Prevention. This database has records of cancer incidences across the US, but the curation of it can often be a hugely time-intensive process as it requires manual editing and annotation from experts for each file.

I have a confession to make - I'm not really a millennial! Despite my liberal use of emojis in my tweets and the word'awesome', the fact of the matter is I missed out on the crucial millennial cutoff point by a few months. The good part about being a generational inbetweener is that I remember a time before smartphones, a time before social networks and a time before the internet. I've had the pleasure of a front row seat witnessing the greatest period of technological change in human history and I've loved every bit of it! When I started out with computers, the interfaces were mostly command prompts with very basic graphical user interfaces (GUIs) coming later.