-->
Save your FREE seat for Streaming Media Connect in November. Register Now!

Video: Key Considerations When Choosing a Video AI Platform

Learn more about AI platforms at Streaming Media's next event.

Read the complete transcript of this clip:

Jun Heider: If you're thinking about leveraging AI, you want to think about your concept profile, because the AI is only as smart as the data that's been sent to it. With Google, they have YouTube, Microsoft, I'm not sure what they trained their platform on. Maybe Office tutorials. IBM has the US Open and Masters’ Golf Tournament. I was trying to think of that earlier.

Think about your own life experiences, the things that you know, and the things that you don't are based on what you've personally experienced. These AI systems are only as accurate as what they know.

Then, what is your functional use case? Are you trying to do transcription and translation? Are you trying to do object detection? Are you trying to populate a media asset manager with a bunch of metadata? Are you doing video surveillance? Thinking about those things will help you decide which AI service to engage with first.

How accurate do you need it? Each one of these, obviously, is going to return some false positives. Once again, go back to that confidence rating. If you see that it detected a person's hand, but it was only 40% confident. I don't know if you necessarily want to send that over to your media asset manager. You may want to have some kind of check-in there within your workflow that said, "Let's throw anything that's 95% and above into our media asset manager. If it's less than that, let's keep that data, but maybe, as we have time, it's not a required step. We'll have somebody go in there and take a look at that, maybe edit it, remove what they don't need, and then put additional data into the MAM as well.”

The next question is, do you have any developers? Your developers are going to determine who you end up working with, because not every developer knows every programming language. Each developer is going have their own preference on what they're going to work most efficiently with. If you don't have any developers at all, maybe it makes sense to go with IBM Watson, so you only have to pay somebody to glue your system together with theirs.

Definitely play around. There's plenty of opportunity to play around with these cutting-edge technologies.

Streaming Covers
Free
for qualified subscribers
Subscribe Now Current Issue Past Issues
Related Articles

What Is Machine Learning as a Service?

RealEyes Media CTO Jun Heider discusses MLaaS and how to leverage it in this clip from his Video Engineering Summit presentation at Streaming Media East 2019.

Video: Audio Analysis and Machine Learning for Video

RealEyes Media CTO Jun Heider discusses audio-specific machine learning services, from speech-to-text to sentiment analysis in this clip from his Video Engineering Summit at Streaming Media East 2019.

Video: How to Make MLaaS Work for You

Will MLaaS work for you? Depends on the kind of content you have, how you're using it, and the type of results you need, as RealEyes' Jun Heider explains in this clip from his Video Engineering Summit presentation at Streaming Media East 2019.

Video: How Much Custom Modeling Do AI Platforms Allow?

RealEyes' Jun Heider discusses the importance of training your AI to serve its specific purpose within your organization, and the types of customization leading AI platforms allow in this clip from his presentation at Streaming Media West 2018.

Video: How to Use AI for Live Stream Analysis

RealEyes Media Director of Technologies Jun Heider discusses Live Stream Analysis using AI in this clip from Streaming Media West 2018.

Video: What AI Platforms Can and Can't Do

Despite rumors to the contrary AI won't render humans obsolete, declares RealEyes' Jun Heider in this clip from his presentation at Streaming Media West 2018.

Video: AI-Driven Tools for Face and Object Detection

RealEyes Media Director of Technologies Jun Heider discusses the visual detection features of popular AI platforms in this clip from his presentation at Streaming Media West 2018.

Video: What's the Difference Between Machine Learning and AI?

Microsoft's Andy Beach and IBM/Watson Media's Ethan Dreilinger break down the differences between machine learning and AI in this clip from their panel at Streaming Media West 2018.

Video: Best Practices for Training Your AI

Limelight's Jason Hofmann, Citrix' Josh Gray, and REELY's Cullen Gallagher discuss best practices for training AI systems at Streaming Media East 2018.

Video: How to Know When AI Isn't the Solution to Your Problem

Google's Matthieu Lorrain cautions of the risks of doing AI for its own sake in this clip from Streaming Media West 2018.

Video: Who Are the Key Players in Video AI?

RealEyes Media Director of Technology Jun Heider identifies the key players in the AI platform space in this clip from Streaming Media East 2018.

Video: Tips for Getting Started with Video AI Platforms

RealEyes Director of Technology Jun Heider outlines the first steps in choosing an AI platform in this clip from his presentation at Streaming Media East 2018.

Video: How Reinforcement Learning Enables Personalized Viewing Experiences

Microsoft Principal Product Manager Rafah Hosn makes the case for reinforcement learning as a machine learning paradigm for content personalization in this clip from Streaming Media East 2018.

Video: Pros and Cons of Supervised Machine Learning for Content Personalization

Microsoft Principal Product Manager Rafah Hosn discusses the benefits and limitations of a content personalization strategy based on supervised machine learning in this clip from Streaming Media East 2018.

Video: How Microsoft's Custom Decision Service Improves Content and Ad Engagement for Brands

Microsoft Principal Product Manager Rafah Hosn explains how Microsoft's machine learning-driven decision services helps brands target viewers and increase engagement in this clip from Streaming Media East 2018.

Video: How Do We Define Quality of Experience for Streaming Video?

Comcast Technical Solutions Architect Ribal Najjar defines video QoE both in terms of subjective experience and qualitative measurement in this clip from Streaming Media East 2018.

Video: How IRIS.TV Implements Machine Learning in Production Environments

IRIS.TV CEO & Co-Founder breaks down discusses IRIS.TV's approach to helping traditional media companies capture and leverage audience data and machine learning in this clip from Streaming Media East 2018.

Video: How USA Today Leveraged Video AI at the 2018 Winter Olympics

Gannett Senior Director Kara Chiles discusses how USA Today leveraged IRIS.TV and data to localize and personalize their Winter Olympics 2018 coverage in this clip from Streaming Media East 2018.

Video: How to Use Machine Learning to Create Personalized TV Experiences

ZoneTV's Tom Sauer describes how machine learning can be used to overhaul the TV world and deliver more individualized experiences in this clip from Streaming Media East 2018.

Video: How AI Can Open Up New Markets for Your Video

REELY CEO Cullen Gallagher makes the business-growth case for content owners developing an AI strategy in this clip from Streaming Media East 2018.

Video: How IBM is Using Video AI

IBM Watson Media's David Clevinger discusses how media entities are currently using video AI in this clip from Streaming Media East 2018.

Video: How Video AI Helps Businesses Interpret Experience Metrics

Citrix Principal Architect Josh Gray explains how video enables higher-acuity metrics analysis in this clip from Streaming Media East 2018.

Video: How Video AI Improves Content Delivery Efficiency

Limelight VP of Architecture Jason Hofmann discusses how AI impacts content delivery optimization in this clip from Streaming Media East 2018.

Video: Best Practices for Developing Machine Learning Algorithms for Video

Citrix' Josh Gray provides tips on AI model development and Reality Software's Nadine Krefetz and IBM's David Clevinger speculate on the possibilities of metadata-as-a-service in this clip from Streaming Media East 2018.

Video: How Will Machine Learning Impact the Media Supply Chain?

Google's Leonidas Kantothanassis explores the vast range of applications for machine learning in the media workflow and supply change in this clip from his Content Delivery Summit keynote.