The different types of data is gathered, collated and analyzed from applications such as Embedded Vision and Industrial IoT sensors. The collected data can be smaller or bigger in size which can provide intelligence to act upon. In many cases multiple video sources need to be analyzed where big data analytics can be done using FPGA. Xilinx broad range of products can be leveraged for accelerated computing of such video data. The FPGA can also be used to process sensor fusion data. The expanded Xilinx product range SpartanR, ArtixR, and ZynqR product families are launched targeting Embedded Vision and Industrial IoT. These are costing less and also available in smaller packages. A good example is a 28 nm FPGA Spartan 7 in 8x8 mm package. The Zynq-7000 is also made available at lesser cost for analytics and cloud connectivity. The Zynq-7000 can also be used for processor-driven secure boot and the latest generation bit stream encryption and authentication to address the growing concern of cyber security in the IoT. If you are looking for the latest version of VivadoR FPGA software, the 2016.3 version is expected to be released sooner to support these new families. Spartan-7 device sampling and Zynq-7000S production devices to ship in the first quarter of 2017.