I am a Primary Care aficionado and advocate with special clinical leaning towards Cardiology & Radiology. Although, a clinician at genes, i am substantially attracted to the Business of Healthcare, Health IT and Digital Health Entrepreneurship. So, i avidly look for collaborations and opportunities to make the world a better place by bringing the best that Medicine and Information Technology has to offer in this Digital era. I also have a keen interest in Medical Writing, Clinical Research, Implications and applications of Artificial Intelligence and Big Data Analytics esp. in Medicine.

This was one of the main messages of the keynote address delivered by Gartner group vice president Dr Brian Kropp (pictured) at the global research and advisory firm's ReimagineHR conference at Westminster's Park Plaza hotel yesterday. With nine in 10 organisations investing in AI or having plans to do so, Kropp called on delegates to not just focus on the challenge posed by AI creating or eliminating jobs but to look at how AI can create access to jobs. Kropp gave the example of a café in Japan, which has created jobs for people with amyotrophic lateral sclerosis (ALS), a disease that causes the death of neurons controlling voluntary muscles. ALS sufferers can control a robot from their bed, who then commutes to work on their behalf and serves customers. "Think about that for a second," Kropp told delegates.

The AI Sustainable Development Summit is home to artificial intelligence, big data, and data-driven social innovation on 28 September, 2019. The Summit brings together thought leaders and practitioners in AI and sustainable development, from the diplomatic bureaus, to buzzing innovation centers of Silicon Valley to explore innovative solutions for the economic, social, and environmental challenges that encompass the 17 Sustainable Development Goals. Delegates include global policy leaders visiting New York City, technologists and businesses leveraging AI for social impact, researchers from leading universities and think tanks, as well as investors funding solutions to the world's most pressing challenges.

In the last ten years, 2 billion people were affected by disasters according to the World Disasters report 2018. In 2017, 201 million people needed humanitarian assistance and 18 million were displaced due to weather related disasters. Many of these disaster-prone areas are literally "missing" from the map, making it harder for first responders to prepare and deliver relief efforts. Since the inception of Tasking Manager, the Humanitarian OpenStreetMap Team (HOT) community has mapped at an incredible rate with 11 million square kilometers mapped in Africa alone. However, large parts of Africa with populations prone to disasters still remain unmapped -- 60% of the 30 million square kilometers.

A Google research team has recently created an artificial intelligence (AI) system that can detect 26 different skin diseases with the same accuracy as a licensed dermatologist. This deep learning technology evaluates images and metadata, such as self-reported symptoms and demographic information, to generate a ranked list of possible diagnoses just as a trained professional would. The Google team's findings were covered in a paper titled "A deep learning system for differential diagnosis of skin diseases" and in a blog post penned by, Yuan Liu, PhD, Software Engineer and Peggy Bui, MD, Technical Program Manager, Google Health. With nearly 2 billion patients having some form of skin condition globally and many areas lacking dermatologists, patients must often take such concerns up with their primary care physicians. Research has shown that while dermatologists diagnose these skin conditions with accuracies between 77-96%, the general practitioner does so with only 24-70% accuracy.

In the next two decades, one sector's innovations will replace 20% to 30% of the global workforce. Analysts at Goldman Sachs say it will "instigate disruption much like the advent of the internet did." Its revenues will hit 2,700% growth in less than six years. By 2030, its global market value will surpass $1 trillion. Our senior analyst Charles Mizrahi predicts it will soon change everything.

Recently, a study indicated UK workers fearing artificial intelligence to eliminate their jobs. Is AI going to steal away our jobs or is it all a hype? We're undergoing a technology revolution experiencing breathless stories about how artificial intelligence is going to replace our jobs. Are these signs of artificial intelligence apocalypse? Is there anything at all that reveals the AI phenomenon or is it just an image of a boogeyman trying to scare us into line?

As scientists gain a deeper understanding of cancer, we have begun to tailor treatments to specific types of the disease. By putting a cancer tumor through advanced molecular testing, we can find out what proteins and genes are specific to this particular tumor and match it to the most effective treatment. The results are significant improvements in the survival rates of those patients fortunate enough to have a type of cancer for which a treatment is available. The trouble is, too few patients are so fortunate. Despite a great deal of cancer research conducted over the past few decades, only a handful of targeted therapies have reached clinical practice--between 8-and-15 percent of cancer patients in the US are eligible to receive targeted therapy.

VBTansform 2019, was a largest AI conference (the AI event of the year) held at San Francisco, CA by VentureBeat Magazine. Accenture Chief Data Scientist, Dr. Ganapathi Pulipaka attended and joined 900 AI executives and practitioners (director-and-above C-Suite) from innovative brands with leading best practices and spoke along with other 120 speakers with disruptive emerging companies who presented more than 48 sessions. Several exhibitors from top tier brands like Accenture, Google, Verizon, IBM, Amazon, Cisco, Oracle, New York University, Microsoft, Uber, Data Robot, Intel, eBay, Johnson and Johnson, GE, Gap, Lyft, Etsy, Kohl's, New York Times, Amazon and many more brand speakers showcased their AI products and presented stories about real business results with their production strategies around the deployment with specialists in this area with practical lessons from their deployments and took the audience on a journey of disruptive AI technologies to keep an eye on. The sessions focused on six AI trends on natural language processing, smart speech, computer vision, Business AI integration, implementing AI across organization, IoT and AI at the Edge, intelligent RPA and automation. Reinforcement learning has been disruptive and the history of AI has showed that it took the gaming industry by storm.

TMLS consists of a community comprised of over 6,000 ML researchers, professionals and entrepreneurs. We'd like to welcome you to join us in celebrating the top achievements in AI Research, AI companies, and applications in industry. Expect 1 day of workshops and 2-days of quality networking, food, drinks, workshops, breakouts, keynotes and Exhibitors. Come expand your network with machine learning experts and further your own personal & professional development in this exciting and rewarding field. We believe these events should be as accessible as possible and set our ticket passes accordingly.