Artificial Intelligence technology to understand what’s inside video. We empower all players in the TV market to deliver outstanding user experiences and make content easier to discover and watch across platforms.
Skyline Communications is the global leading supplier of end-to-end multi-vendor NMS, OSS and orchestration software solutions for the broadband and media industry. Its flagship DataMiner network management platform enables end-to-end integration of the most complex technical ecosystems and has been deployed by leading operators around the world. The platform heralds a new generation of sophisticated artificial-intelligence-powered solutions and comprises highly innovative features, such as the brand-new DataMiner Augmented Operation concept. The company has offices in Belgium, Portugal, Singapore and the US, a permanent presence in Brazil, Colombia, France, Germany, India, Indonesia, Malaysia, Mexico, Philippines, Russia, and the UK, and a vast network of local partners around the world. Founded in 1985, Skyline has decades of industry-specific NMS and OSS expertise. The company remains a 100% independent NMS/OSS software publisher even today, with over 300 employees and over 6000 systems deployed in more than 125 countries. Not only Skyline's DataMiner platform has received various prestigious awards, but the company itself has also been awarded multiple times for innovation, growth and excellence.
While the impact of ML and AI have been discussed and debated for years, practical applications are fast accelerating across the media supply chain. The pace of innovation is moving quickly and with the cloud wars in full force, there are new services becoming available all the time that offer novel ways to automate tasks with ML and AI. Already, the big three cloud providers — AWS, Azure, and Google — have rolled out powerful capabilities that help with essential tasks including captioning, transcription, and even object/facial recognition to bolster compliance edits and to augment metadata. For media organizations, the implications of these solutions are vast, and we’ve already begun to see their power. With things moving so fast, though, it’s challenging to keep up and important to have the right architecture and structure in place to take advantage of these innovations.
In this panel discussion with Reinhard Grandl (Head of Product, Bitmovin) & Bill McFarland (CTO, Plume), we hear about their key markets and the differences in each of these markets. We hear how Covid-19 has affected their business along with the biggest challenges they have faced during the crisis.
In this Lorenzo Zanni (Head of Insight & Analysis, IABM) and Ryan Steelberg (President, Veritone) discuss Artificial Intelligence and Machine Learning.
We caught up with Brick Eksten, the new CEO of Qligent to find out his plans for the companies development going forward.
Join us to learn how GrayMeta and Qumulo are simplifying workflows, driving organizational and cost efficiencies across the content supply chain. Through the seamless integration of the GrayMeta platform powered by Machine Learning, its suite of next generation quality control, compliance and collaboration tools, and the myriad of storage solutions offered by Qumulo, content is more readily accessible, anytime, anywhere.
In this IABM TV interview, Matt Eaton (Managing Director, EMEA, GrayMeta) discusses how GrayMeta are helping media companies accelerate their adoption of machine learning.
In the IABM Digital Speed Panels, we talk to media technology suppliers that are quickly and effectively responding to the requirements of these unusual times. In each of these panels, we focus on specific topics that are relevant to the media technology industry in this unprecedented period.
In this panel, we discussed the how data-driven technologies are helping media companies navigate through this crisis. We talked about the use of machine learning to leverage existing content catalogues and increase engagement with consumers. We also discussed the impact of the surge of on-demand streaming on media companies’ infrastructures and the future economics of direct-to-consumer models.
Human Decision Making: When Do We Use Confidence Levels?
Confidence levels can be used anytime one is estimating or predicting something. Examples include: business, engineering, medicine, technology…or just day-to-day life.
As humans we use confidence levels regularly. Whether you decide to dodge an aisle at the grocery store because you thought you saw your chatty neighbor, or using evidence and intuition to convict a suspected criminal during jury duty, your mind is in a constant state of perceiving its surroundings. It makes decisions based on those perceptions via an inherent estimate of confidence.