You’re toast and want to finish up for the day. You’ve just added the finishing touches to your beautiful sunset lighting in Unreal Engine and it’s ready to be worked on by the overnight team in Europe. You can: You press the submit button and the files are uploaded to a cloud server. Now the next team knows what changed, who changed it, and why the sky is gray instead of blue. They can immediately get to work. Keys in hand, jacket on, and you’re out the door.
If your business is in the process of digital transformation, IoT technology may be factoring into your plans. IoT gives organizations across industries new opportunities to foster a more direct connection with customers. It lets them collect new data, turn that data into insights, and then turn insights into action. IoT has become so prevalent that companies in most industries can’t afford to put off adopting it.
Software security breaches pose a major safety and security threats. However, writing high quality, secure code can be a challenge without the right tools and knowledge. Read along or jump ahead to the section that interests you the most.
If you’re in a regulated industry, you or your team has likely had to use Failure Mode and Effects Analysis (FMEA) for compliance. But because of the way regulated industries have to balance between the world of very strict quality standards and also high-velocity Agile processes, traditional FMEA has to evolve in order to meet the challenges that are arising in this new reality.
A virtual set is an environment in a studio that allows teams to manipulate the digital background in real time. This allows filmmakers and broadcasters to alter things like the location, weather, and time of day using software. Teams can place on-set actors anywhere!
Product failures and defects can occur on many different shapes and levels, impacting any part of the user experience, functionality, and even safety. In the past, organizations were taking the approach of of Failure Mode and Effects Analysis (FMEA) for risk assessment. This allowed teams to identify and prevent failure before a product or update is released.