tcus will be responsible for collecting data connect to the cloud and store the data in it it will also be connected to different networks with which it would share critical data related to problem diagnosis and safety kumar saidota overtheair updates will enable vehicle monitoring finding maintenance issues and firmware upgrades using iot connected vehicles will also be able to communicate with each other ensuring road safety by eliminating accidents he addedachieving the wave of digital transformationachieving digital transformation through projects requires a change of attitude from the business and it kumar shares a few ways to achieve thistechnology needs to be seen as a tool to devise solutions for business impediments a crossfunctional relationship needs to be established between it experts and smes to collaborate better all departments should be encouraged to look up to technology as a onestop solution provideridentification of enthusiastic eager individuals is necessary to build or develop applications such individuals should be encouraged with the right backing to jump on the technology bandwagonthe next avenue for seeking solutions in coming decade is going to be the tech platforms investment in the appropriate platforms is a must for digital transformation to be a reality organizations should ensure that they have the best technology for different functionalities read alsoglobal connected car revenues to grow fivefold by 2025 at 24 billion study projectsford and vodafone to jointly develop connected car technologyglobal connected car revenues to grow fivefold by 2025 at 24 billion study projectsford and vodafone to jointly develop connected car technology challenging concept investment in autonomous drivingautonomous driving is revolutionizing the automobile sector industry is almost on the verge of moving from the current scale of 3 to 5 fully autonomous in the near few years for level 5 autonomy in cars there are certain technological challenges that need to be addressed firstly no sensor is accurate level 5 cars will need a fair amount of sensors to gather data around them environmental conditions can affect the productivity and accuracy of sensors at this point in time humans need to take the wheel again secondly these cars need perceptive intelligence training an ai system to interpret a human in the way of the vehicle is complicated as compared to interpreting road signs the ai system will have to be trained continuously in a realworld scenario to achieve the required accuracy which is expensive thirdly decision making is a key element in autonomous vehicles which has to be validated for safety after perceiving surroundings such surroundings comprise weather traffic and pedestrian conditions which have a strong impact on the decision making of the vehicle to ensure the safety of such decisions it is imperative to designredesign testretest billions of real life driving scenarios which is impossibletalking about his latest book on industry 40 cio series smart factoryhere are few key findings from the booknowadays the manufacturing industry is witnessing increased momentum around industry 40 the trend has taken the entire manufacturing industry by