interact and work safely together future prospects and concernsmachine learning holds immense potential for every industry there are bottlenecks however to applying it at scale for instance complex applications involve the use of multiple machine learning models simultaneously which not all companies may have the processing capacity for theres also the fact that the models are continuously increasing in size and scope to accommodate new data another issue relates to data handling at the preprocessing stage if not executed swiftly or efficiently enough it could lead to pipeline bottlenecks and potentially feed outdated or incorrect data to the algorithm there are also data privacy concerns about using the cloud especially when it comes to sensitive datasets like medical records or financial histories the way forward objectively robotics holds an immense amount of potential the challenge lies in figuring out ways for robots to be used at scale and without interfering with human decisionmaking smart factories are already recruiting aipowered robots to work on routine tasks and handle the heavy lifting something they can do much more safely and efficiently than humans can hospitals are also opting for robotic assistance more and more as are security companies and the customer service industry going forward we can expect machine learning and robotics to become more collaborative as more and more industries opt for automation innovative solutions will pave the way for new leaps in machine learning deployment which will translate to the mass application of robotics to solve longstanding and emerging challenges exciting times lie ahead and those that invest in their robotics potential now will be the first to reap the commercial benefitsdisclaimer krishna rangasayee is the ceo and founder of simaai views are personalread alsohow vulnerable are your vehicles to cyberattacksfuture is electric but this newly formed german company bets on ice and indiathe new technology that is making cars easier for criminals to steal or crashstellantis tap indian talents to be sustainable mobility tech company billy hayes by krishna rangasayee etauto published on aug 16 2023 at 1157 am ist telegram facebook copy link be the first one to comment comment now comments comment now read comment 1 all comments post post find this comment offensive choose your reason below and click on the submit button this will alert our moderators to take actions reasons for reporting foul language defamatory inciting hatred against a certain community out of context spam others report join the community of 2m industry professionals subscribe to our newsletter to get latest insights analysis download etauto app get realtime updates save your favourite articles scan to download app machine learning krishna rangasayee simaai commercialization of robotics commercialization of autonomous systems auto technology homenewsauto technologyhow machine learning is accelerating the commercialization of robotics and autonomous systems