Harshavardhana Kikkeri
Abstract
We are entering a time where machine can adapt nearly anything and show improvement over people. Materials are getting more brilliant with implanted sensors which can follow an enormous number of biomarkers. Wellbeing observing frameworks are getting associated with the cloud giving rich wellspring of information. Computer generated Reality encounters are turning out to be hyper realistic empowering assembly line laborers train essentially and perform remote diagnostics utilizing expanded reality. Costly guard test systems are getting supplanted by virtual simulators at a small amount of the expense. Would we be able to weave together every one of these patterns and convert your attire to be your customized AI wellbeing and wellness mentor? Would we be able to move from the time of Machine Learning to the time of Machine encouraging where machines become so brilliant, they can examine and relate various information and furnish you with genuine and virtual difficulties to assist you with arriving at your actual potential. Would we be able to give 24x7 constant following and input to give customized proposals to you dependent on target information gathered from comparative socioeconomics? This discussion will investigate the energizing prospects that the time of Machine Teaching opens up by weaving together design, wellness, AI, AR/VR and IoT to make an AI coach which can be utilized by both enterprise and customer. Retail today looks completely different than it did five years ago, and five years from now it will look completely different than it does today. Technology is advancing at a pace that requires retailers to not just keep pace with these changes, but stay ahead of the adoption curve in order to remain competitive and top of mind for consumers. The past five years have focused largely on the sophistication of omnichannel retail. This essentially entailed putting nice wrappers around a number of backend technologies to present a frictionless user experience to the customer. However, the next five years will be defined by unified commerce or bringing all disjointed systems together into one system of record that provides cohesiveness and visibility across systems. This integration will allow for a level of personalization that consumers have yet to experience, and a retail journey that is entirely seamless across every channel, device, and touch point with a brand. And all of this will be possible thanks to machine learning, artificial intelligence (AI) and virtual reality (VR). Undoubtedly, these buzzwords are bandied about with some regularity in the context of retail and shopping. However, these technologies are very quickly making the transition from novelties to be marveled at during very specific activations and experiences to fixtures that will define many of the activities that comprise our daily lives. How does this translate for retailers?If we think about unified commerce as a seamless and frictionless shopping experience for consumers, machine learning and artificial intelligence play a key role in optimizing and making sense of data gathered through unified systems, which in turn creates a better individualized and customized customer experience. Biography: Harsha Kikkeri is the CEO of Kaaya Tech Inc where he is building Hootsuite – An AI empowered full body examination stage which goes about as a virtual coach for your body. He has more than 18 years’ experience chipping away at IoT, expanded/computer generated simulation, elevated and ground robots with skill in drones, sensor combination and AI. He did spearhead research at Microsoft Robotics in USA building robots which could learn by exhibition. He has won various authority grants including Gold Star from Microsoft, Excellence Award from Infosys, Bharat Petroleum Scholarship and has won various chess competitions. He has Masters in Electrical Engineering from Syracuse University, NY and BE Electronics from SJCE, Mysore, India. He holds 35+ worldwide licenses from US, Europe, China, Japan and different nations.