Stainless Code, developer of real-time advanced video and data analysis software that leverages computer vision and artificial intelligence, announced today it has been selected to join the SPROCKIT program for leading media and technology startups. Together, they form the industry's exclusive platform, bringing the most innovative products, services, and revenue models to market." As part of the program, Stainless Code will exhibit their technology along with the other companies in the 2018 class at the NABShow in Las Vegas from April 7-12, 2018 (http://nabshow.com). "After attending NAB for over the last decade, I am excited to finally join the innovative vendors and startups on the show floor as an exhibitor," said Dan Stieglitz, CEO of Stainless Code. "Our latest AI technology demonstrates the potential of AI and computer vision for change in the media and broadcast industries in the coming years.
Whether selling via a website or app, you need to respond immediately to each step of the journey. You need to "see" your customer, understand who they are, collect the right data, evaluate their needs, detect anomalous behavior, assess risk / pricing / product / affordability, dynamically adapt the customer journey and make many other decisions... and all this in real-time. To do all this and more, Zoral has developed one of the world's most advanced, intelligent decision engines Zoral Decision Engine (ZDE). In many ways selling digitally is no different to selling face to face. You need to understand as much as possible about your customer and ask the right questions.
Metadata is organised information that describes, locates or otherwise makes it easier to retrieve information. Metadata is all around us, it started as catalogue cards in libraries and is now used mainly in a digital manner. Metadata is everywhere, every webpage, every file, picture, piece of software has metadata that describes what it is, when was it created, what size it is, generally everything you or a computer needs to know to efficiently find information. There are two main types of metadata, descriptive and structural. Descriptive metadata is information that is used for identification or discovery of a resource.
Almost thirty years ago, when the internet was launched onto an unsuspecting world, even inventor Tim Berners-Lee and colleagues at CERN could not have predicted the upheaval that would follow. It has been the greatest technology revolution since the industrial original. The combination of Cloud, IoT and AI is driving opportunity and threat in equal measure. Decisions made within organizations will have an impact for years to come. The way in which IoT-Edge links to the broader cloud backend, and the way in which AI integrates across the full processing chain, will be the key to unlocking material innovation and value. After many years of rationalization and stretched infrastructure investments, the IoT represents a tipping point for telcos, the cellular networks on whose backbones the new IoT offerings will be delivered.
The early waves of artificial intelligence are already lapping at the shores of local TV news. For now, AI is largely confined to the realm of metadata and closed captioning among larger, international media companies, according to Ethan Dreilinger, solutions engineer for Watson Media and IBM Cloud Video. But the next wave could see more AI functionality -- and affordability -- soon enough. Dreilinger told NAB Show attendees here on Sunday that Watson's primary role at present is retrieving metadata within a media organization's video -- essentially a search and discovery operation. Say, for instance, tags have been misspelled in videos long languishing in a media company's asset management system.