Tag Archives: Computer Vision

Gen Z & Computer Vision Ad:Tech Spotlight

Tom Edwards, Ad Age Marketing Technology Trailblazer and Chief Digital Officer, Agency @ Epsilon discussed Gen Z, Computer vision and the evolution of experience at Ad:Tech NY 2017.

This video is the presentation content prepared for Ad:Tech New York 2017, featuring proprietary research tied to Gen Z and the evolution of experience.

Over the coming months, we will begin to see a significant increase in the amount of media velocity around the topic of AI + AR, specifically computer vision enhanced experiences.

This video is an overview of computer vision, implications for marketers, the role of Gen Z and how it will scale through a very well established ecosystem.

Tom discussed the impact: Computer Vision Experience & Gen Z through the lens of the E^3 framework, Empower, Enhance, and Environment tied to the Innovation to Reality™ content series.

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E^3 Evolution of Experience – Environment & Synthetic Reality

Tom Edwards, Ad Age Marketing Technology Trailblazer and Chief Digital Officer, Agency @ Epsilon highlights the third pillar of the E^3 framework, Environment in Video 4 of 4 in the Innovation to Reality™ content series.

This video outlines how our world is shifting towards synthetic reality with the convergence of location, computer vision and mixed reality that will reshape how we interact with the physical world and each other as well as the rise of new virtual economies.

The E^3 framework and subsequent examples build a vision towards the future highlighting the exponential acceleration of experience through the merging of intelligent systems and technology that empowers.

This 4 video content series highlights the evolution of Experience through the E^3 framework of Empower, Enhance, and Environment.

Video 1 of the E^3 evolution of experience provided an overview of the E^3 framework and the evolution of experience from the 80’s into the 2020’s.

Video 2 of E^3 was all about how technology empowers. Highlighting everything from non-linear video, social messaging, conversational commerce, camera as a platform, co-viewing and more, this video dives into technology that empowers consumers.

Video 3 of E^3 discussed the role of intelligent systems and how they are accelerating the evolution of experience. From all facets of Artificial Intelligence (machine learning, deep learning, natural language processing) to conversational experiences powered by virtual assistants and the rise of system-based marketing, its impact on mobile UX and when we are marketing to algorithms in addition to consumers.

I presented the full E^3 presentation as a keynote at Mobile World Congress Americas event in September 2017. This content will also be featured at future events.

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AI and Computer Vision Key Trend for 2018

Tom Edwards, Ad Age Marketing Technology Trailblazer and Chief Digital Officer, Agency @ Epsilon discusses how computer vision, powered by artificial intelligence will be the key trend to watch in 2018.

I recently provided commentary to CMO.com discussing 7 digital trends that will change business forever. My contribution to the piece was tied to  the potential impact of computer vision powered experiences and this led me to create this video.

It starts with an analysis of all facets of computer vision and how it will impact consumer experience, it’s role within multimodal computing, how machine learning is accelerating our ability to categorize visual information and I discuss the shift from mobile first to AI first.

The video then investigates computer vision’s implications and opportunities for marketers through image and object recognition, the camera as a platform, contextual environments and redefining personalized advertising, the alignment of virtual assistants and computer vision and computer vision’s role in the mass adoption of augmented reality.

The video ends with a discussion and research findings tied to the potential impact of computer vision driven experiences and what it means for Gen Z while also exploring the rapidly developing computer vision ecosystem.

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Google I/O 2017 Full Recap

This week I had the opportunity to attend the Google I/O conference in Mountain View, California. It was an incredibly compelling event as Google shifted their focus as a company from mobile first to AI first. This means that all products will be redefined and enhanced through various forms of AI.

This includes the Google Assistant, which was the star of the show. The deck goes into detail, but it’s incredibly important that we begin thinking about the role that the Google Assistant plays across home, smartphone, wearables, auto and soon AR. With the launch on the iPhone announced at the conference it gives Assistant 200 million voice enabled devices out of the gate.

What is also key to consider is the Google Assistant equivalent of an Alexa Skill, called an Action by Google. Actions can support transactions outside of Amazon as well as not requiring installation. Also, there is a very small number of actions that exist today, but a huge and rapidly growing ecosystem of devices that are Google Assistant enabled.

Here is the full trend recap and analysis:

Section one covers trends tied to connection & cognition:

  • Vision of Ubiquitous Computing
  • Multi-Modal Computing
  • Google Assistant (Actions, Auto, Computer Vision, Wear)
  • Android O
  • Progressive Web Apps
  • Structured Data & Search

Section two covers all facets of immersive computing:

  • Immersive Computing
  • Daydream (Virtual Reality)
  • Social VR
  • WebVR
  • Visual Positioning Services
  • Tango (Augmented Reality) 
  • WebAR

In addition to the attached recap, there is also a 4 minute “light recap” video:

For third party commentary, discussed the role of Google Lens & Computer Vision with AdExchanger here

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Google I/O 2017 Live

Coming to you live from San Francisco and Google’s I/O conference. Here is a recap of some of the key highlights.  From their shift from mobile first to AI first, the launch of Google Lens, computer vision as the next form of computing, and the digitally augmented future.

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