Today’s topics include Intel introducing the OpenVINO toolkit for IoT business vision intelligence, and Flock adding process automation to its collaboration app.
Intel has been making edge computing a central part of its strategy recently—especially enterprise video, considering digital video handled inside a cloud or edge computing system is much more effective, easier to use and cheaper to store than analog video.
The problem, according to Tom Lantzsch, Intel’s senior vice president and general manager of the IoT Group, is “[imaging and video] leverage high-resolution cameras and create extraordinary amounts of data, which needs to be aggregated and analyzed.”
To address this expansive data growth, Intel this week introduced the OpenVINO toolkit, designed to fast-track development of high-performance computer vision and deep learning inference applications at the edge.
Flock has added a lightweight process automation tool to its team messaging and collaboration app, a move that founder and CEO Bhavin Turakhia says can improve workplace productivity by drastically reducing the time it takes users to complete tasks in small and midsized business environments.
Users can now kick off and track a variety of workflows without having to launch another application, while business leaders can create their own, ensuring that any activities doled out by software align with their workplace’s rules and objectives.
Once initiated, new tasks are automatically routed to the proper Flock channel. Flock will then send the appropriate users a notification listing the actions required to complete them.
Managers can track the progress of their assignments by monitoring Flock’s process dashboard, and users of all skill levels can create and customize Flock’s templates using the app’s process designer.