The following post is an English-language translation of the original German-language article "Nachgefragt bei Aby Varghese, Unified Inbox Chief Technology Officer," written by Elke Hartmann and published in the September 2016 printed issue of VentureCapital Magazin: Das Magazin für Investoren und Entrepreneure. The issue of this magazine in which this article appears can be purchased online, from VC-Magazin. VC magazine: How do you think the Internet of Things will change the automotive and transportation sector? Aby Varghese: This car industry is currently on the verge of a once- in-a- generation revolution thanks to the Internet of Things (IoT). IoT applications combined with Artificial Intelligence and big data analytics are now giving both the manufacturer and driver real -time access to all of the car's sensors and data – to measure speed, performance and efficiency – really easily from our smartphones. VC magazine: What potential do you see in the automotive sector as a result of Artificial Intelligence?

DESCRIPTION Are you experienced at applying machine learning to big-data tasks? Are you excited by analyzing and modeling terabytes of text, images, and other types of data to solve real-world problems? We love data and we have lots of it. Were looking for top scientists capable of using machine learning and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. The central machine learning organization at Amazon has multiple positions available for applied scientists in Seattle, Palo Alto, Berlin, and Bangalore for machine learning experts at all career stages, from graduating doctoral students to internationally renowned researchers and practitioners.

I recently watched a movie called'Her' starring Joaquin Phoenix and Scarlett Johansson. Set in the future the beautiful, strange and emotional story of a letter writer, Theodore Twombly (Phoenix) who, after separating from his girlfriend, downloads an intelligent computer operating system (OS) personified through a female voice, 'Samantha' played by Johansson. Director Spike Jonze conceived the idea of the film after reading about Cleverbot, a web application that uses an artificial intelligence algorithm to have conversations with humans. Twombly had quite simply created his'perfect' woman. He had answered a few questions; What gender was he?

New York City-based Datorama, a marketing analytics provider, closed on a 32 million round of Series C funding led by Lightspeed Venture Partners. It plans to invest the funds in artificial intelligence (AI) technologies to support its machine-learning capabilities. Datorama has raised 50 million since it was founded in 2012. Before founding the company, Sarig spent nearly three years in at MediaMind (now Sizmek), most recently as vice president of research and development. He also worked for Swets Information Services and Pointech Information Systems and spent six years as an officer in the Israeli Navy.

Earlier this month Microsoft shared news of new bots in the Skype Bot Shop, including new ones from StubHub, Hipmunk, and IFTTT. Also released that day but not publicized was Your Face, a bot created by Microsoft that combines computer vision, emotion recognition, and facial recognition APIs from Microsoft Cognitive Services. Your Face doesn't have a name like Siri or Cortana but he has the face of an old man and is a pretty salty curmudgeon. Upload any photo or GIF and the bot will guess the age, analyze expression, and share a few opinions about the face sprinkled with salty curmudgeonness. Upload a photo or GIF of your own face and it will probably insult you.

Candida Vitale and the other fellows at MD Anderson's leukemia treatment center had known each other for only a few months, but they already were very tight. The nine of them shared a small office and were always hanging out on weekends. Dr. Tina Cascone demonstrates the Oncology Expert Advisor System powered by IBM Watson at the Thoracic Center at MD Anderson Hospital in Houston. She says the system provides physicians with accurate information to provide personalized cancer treatment. Rumor had it that he had finished med school in two years and had a photographic memory of thousands of journal articles and relevant clinical trials.

Four people stand, eyes squinting, on the verdant, freshly mowed field of Boston's Fenway Park. The smiles on their faces are broad, if a bit shy. They are among the lucky ones--the tiny share of people who fought and survived pancreatic cancer. The scene is from a photograph pinned to a cubicle at Beth Israel Deaconess Medical Center in Boston. "What is it about these four people on the field?" asks A. James Moser, co-director of the Pancreas and Liver Institute and director of the Pancreatic Cancer Research Institute at Beth Israel Deaconess Medical Center.

A team of researchers at the Beth Israel Deaconess Medical Center (BIDMC) and Harvard Medical School (HMS) in Boston have been working on developing artificial intelligence (AI) tools with potential to significantly change and improve accuracy in cancer and other disease diagnosis. Noting that pathology methods for diagnosing disease have stayed largely the same for the past 100 years with tissue samples manually reviewed under a microscope, the investigative work suggests diagnostic accuracy can be improved by using computers to interpret pathology images. "Our AI method is based on deep learning, a machine-learning algorithm used for a range of applications including speech recognition and image recognition," said Dr. Andrew Beck director of Bioinformatics at the Cancer Research Institute at Beth Israel Deaconess Medical Center (BIDMC) in press release. Beck, who is also an associate professor at Harvard Medical School said the approach teaches machines to interpret the complex patterns and structure observed in real-life data by building multi-layer artificial neural networks thought to be similar to how the learning occurs in the brain neocortex, where thinking occurs. The Beck lab's approach was recently tested in a competition at the annual meeting of the International Symposium of Biomedical Imaging (ISBI) held in Prague, Czech Republic, in April. The test task involved examining lymph node images to determine whether or not breast cancer was present.

Looking around at the natural world, have you ever wondered why some groups of organisms contain huge numbers of species while others are seemingly barren? Take insects as an example, animals which evolved around 480 million years ago. There are perhaps 6 million species living in all manner of environments, and occupying an incredible diversity of niches. Have you ever wondered why some groups of organisms contain huge numbers of species while others are seemingly barren? Plants have had a species production rate more than twice that of animals, while complex organisms (multicellular eukaryotes) have produced new species at a rate almost 10 times that of simpler one (protists and prokaryotes). Sex seems to have been a major catalyst for increasing the rate at which new species formed, perhaps explaining its success as an evolutionary strategy.

Some great minds, including Elon Musk, are clearly worried about Artificial Intelligence (AI). With the recent innovations like Google's self-driving car, the Hong Kong metro automating its own maintenance and computers that are able to read human emotion, this fear is understandable. Technology is finally catching up to science fiction -- but business leaders who wait until humanoid robots are walking around to begin implementing AI in their business will have missed the boat and let their competitors eat their lunch. With so many new developments in AI, the conscientious business leader should be thinking about how AI will impact their business today. AI Is Already Here Sci-fi has us looking for the wrong signs for the "arrival" of AI (e.g.