brightcove
Director, Multi-CDN Streaming (Research Engineering)
Brightcove's Research is a team of highly motivated, fast-paced, and highly skilled engineers with expertise in video processing and video streaming systems. We develop highly innovative, state-of-the-art technologies for use in future Brightcove products. We also contribute to relevant activities in standards and industry organizations (IETF, W3C, MPEG, DASH-IF, CTA-WAVE, UHDF, SVTA), file patent applications, and publish in technical conferences and journals. Examples of mass-deployed technologies that originated as research projects include Brightcove Context-Aware Encoding and massively-parallel transcoding engine in Zencoder. Both are Emmy award-winning technologies.
The modern marketer's guide to machine learning algorithms
Some of the best opportunities for go-to-market teams center around uncovering inefficiencies in the business -- e.g., reducing marketing waste, accelerating lead or account qualification, optimizing channels and programs. Since the potential returns of improved sales and marketing performance are significant, there's no reason to wait. It's time for every marketer to recognize that an arms race for data is underway, and those who don't evolve the way their businesses operate based on data will soon fall behind.
The modern marketer's guide to machine learning algorithms
Some of the best opportunities for go-to-market teams center around uncovering inefficiencies in the business -- e.g., reducing marketing waste, accelerating lead or account qualification, optimizing channels and programs. Since the potential returns of improved sales and marketing performance are significant, there's no reason to wait. It's time for every marketer to recognize that an arms race for data is underway, and those who don't evolve the way their businesses operate based on data will soon fall behind. Some opinions expressed in this article may be those of a guest author and not necessarily MarTech Today. Staff authors are listed here.
Top Video Platforms and Video Machine Learning at NAB 2016
Chase McMichael, NAB VIDEO Intro – Top Video Platforms and Video Machine Learning made a big splash at NAB 2016. The event was all about digital video, video production, VR, drones and every other technology you could imagine. Think of NAB as the as the CEO of digital and video broadcasting. Everywhere you looked there was drone technology, robotics and even a full area dedicated to VR. The future of video publishing is bright for sure as new technology simplifies quality capture and distribution.