Digital Transformation with APM 4.0

With more than 1.3 Billion videos uploaded in 2017 garnering Trillions of views, there’s no question that online video is growing rapidly and here to stay. There’s also no question that in this war for eyeballs, there’ll be real winners and losers. If you are a data analyst for a broadcast company, media publisher or brand, you’re tasked with extracting and analyzing your company’s video data, setting benchmarks, and advising your video strategists on what’s working, what trends to look for, and how to stay ahead of the competition.

The media and advertising sector is facing a number of trends that are increasing the importance of third-party data, including the launches of new streaming services, changes to data privacy governance, and deprecation of third-party cookies. Traditional methods of data collaboration require providers to share data for it to be used by other businesses. This often leaves the most sensitive data and potentially valuable data out of reach. And, the data you can access requires time-intensive data ingestion infrastructure, resulting in delayed time to utilization.

There’s fast-growing interest in the usage of AR and VR for education and training. According to SuperData Research, investments in AR and VR technologies will grow from $1.6 billion in 2017 to over $3.1 billion in 2020. Much of that investment is being funneled towards projects built with education and training in mind. AR and VR are emerging quickly, but what does it mean for today’s learning organizations?

Discussion of the metaverse reached fever-pitch in early 2022, leading to increasing interest in Augmented and Virtual Reality (AR/VR) headsets as the key gateways to this future vision of the internet. High-profile device releases generated major hype but worries of overemphasis on the metaverse sparked uncertainty. Taking in all that the most action-packed year for eXtended Reality (XR) yet means for its future is a difficult yet valuable task. IDTechEx has been analyzing the AR/VR hardware space since 2016, placing it ideally to make unbiased predictions for the next year of its evolution and beyond.