Abstract: Dynamic vehicle maintenance management is provided. Performance of each subsystem of a plurality of subsystems corresponding to a vehicle and driving behavior of a user of the vehicle is monitored by performing an analysis of data collected from an IoT sensor system onboard the vehicle to detect any subsystem issues in the vehicle using a set of machine learning models. An issue is detected in a subsystem of the vehicle based on the analysis of the data collected from the IoT sensor system onboard the vehicle. Maintenance corresponding to the issue detected in the subsystem of the vehicle is scheduled at a date, time, and location based on availability of the user of the vehicle and a selected vehicle repair shop. A notification regarding the maintenance corresponding to the issue detected in the subsystem of the vehicle is sent to the user of the vehicle via a network.

Abstract: An anti-spambot application that incorporates mechanisms for human-computer interaction is configured. In response to determining that a telephonic call from a caller to a callee is a spam call, the process switches to a mode in which the anti-spambot application initiates a conversation with the caller. A script is selected from a predetermined set of scripts based on content included in the telephonic call. Synthesized speech is generated from the script, based on voice characteristics of the callee, where the synthesized speech is used for conversing with the caller.

Abstract: A method, computer program product, and a system are configured to: detect sensors in an Internet-of-Things (IoT) network of a supply chain of fresh produce; collect data from the detected sensors via the IoT network; determine a demand of a type of produce at a future date using the collected data and a forecasting model; determine a change to an output of a greenhouse growing the type of produce based on the determined demand for the type of produce; determine a growing plan for the greenhouse based on the determined change to the output of the greenhouse; adjust one or more growing environment conditions in the greenhouse based on the growing plan, wherein the adjusting includes sending control signals to one or more computer-based environment control systems in the greenhouse, and wherein the adjusting changes a maturity time of a batch of the type of produce growing the greenhouse.

Abstract: Embodiments include method, systems and computer program products for managing access to media content. Aspects include receiving, by a media service provider from a subscriber, a request for a limited access to one or more media content items and creating, by the media service provider in response to the request, a token that grants the limited access to the one or more media content items. Aspects also include receiving, by the media service provider, the token from a non-subscriber and providing, by the media service provider, the limited access to the one or more media content items to the non-subscriber.