#AIChat is a 60 minute monthly chat on artificial intelligence.
Where our guest(s) help you make sense of the artificial intelligence (AI) world.
To give you or your company ideas on how to use AI. At work. Or home.
This is a summary of #AIChat with @pchalasani, Chief Scientist @mediamath. Talking #AI #programmatic #marketing #ads #adtech
#AIChat is a 60 minute monthly Twitter chat on artificial intelligence.
Where my guest(s) help you make sense of the artificial intelligence world.
To give you artificial intelligence ideas to use at work. Or at home.
September’s guests? Professors Yannakakis and Togelius. The experts in artificial intelligence and gaming.
When you click on the link, you’ll have a recap of the chat:
This is a summary of #AIChat (it’s a Twitter chat on artificial intelligence).
On Wednesday, July 4th, our guest was Roxana Nasoi.
We talked about artificial intelligence.
And it’s impact on the medical field.
Here’s the link to this conversation:
The Internet.
It’s the key for billons of people to watch your show.
If you’re using a secure cloud technology, someone will try to steal your content.
The problem? Hackers are
Your goals?
To
From an anti-piracy point of view, you can use the best technologies to guard your content at every step of the creative process. But these innocent devices will be used to hack your server:
Keep in mind that not all your customers have the same content security needs.
The system must be flexible to work with customer’s needs without having to create a customized solution for each one.
And you’ll need an integrated analysis, a powerful user insights into what people are watching.
One solution?
You could use a premium security to protect your content, like white box cryptography. Or watermarking.
Or use an audience detection per view transaction company. That bridges the gap between the theatrical release and streaming services. For example, companies such as XCinex offers a per viewer ticketing model. Everyone in the room must have a ticket as if they’re going to a movie or concert. No ticket? No show.
But have you considered how artificial intelligence (AI) can help you?
By using
Detecting threats to your servers is the main focus of AI and machine learning’s technology push.
Machine learning, advanced analytics and cutting edge technology will help companies track the data from their networks and Internet.
Big data will help you stay one step ahead of the hackers.
Before they can steal your content.
End Notes
Kadakia, Smit. “So, How Does Machine Learning Apply to Cyber Security?” ITSP Magazine (https://itspmagazine.com/from-the-newsroom/so-how-does-machine-learning-apply-to-cyber-security)
Ng, David, Ryan Faughnder and Paresh Dave. “Cyberattacks once again roil Hollywood but can anything be done about it?” http://www.latimes.com/business/hollywood/la-fi-ct-hacking-disney-netflix-20170523-story.html May 23rd, 2017
Oggel, Peter. “Mastering security to transform your media business.” (https://v-net.tv/2017/07/13/mastering-security-to-transform-your-media-business/), July 13, 2017
\Suciu, Peter. “OTT. The Challenges of Infrastructure: ‘Quality of Service’ not guaranteed.”TV Technology (http://www.tvtechnology.com/resources/0006/ott-the-challenges-of-infrastructure/281371), July 21, 2017
Thomas, Brian E. “Why AI is crucial to cyber security.” http://www.cio.com/article/3201147/cyber-attacks-espionage/why-ai-is-crucial-to-cyber-security.html June 16, 2017
Tribbey, Chris. “Deep Inside The Internet Backbone.” (http://www.broadcastingcable.com/news/technology/deep-inside-internet-backbone/167181#.WW-tYB0Xi00.twitter), July 17th, 2017
Vogel, Beth. “How Does Your Digital Transformation Effort Stack Up” https://blog.box.com/blog/how-does-your-digital-transformation-effort-stack/ May 3, 2017
Wong, Steve. “Hacking Hollywood: How Safe Is Your Data?” http://www.mesalliance.org/wp-content/uploads/2017/04/Hacking-Hollywood-How-Safe-Is-Your-Data-SW-04-24-2017.pdf
On Twitter (@nickhtang), I have a monthly Twitter Chat devoted to talking about artificial intelligence.
For this month’s talk? My guest was Tripp Boyle, SVP @ConnektInc. We talked about artificial intelligence, television and voice assistants.
Q1) Why could TV be a catalyst for voice shopping?
(1/2) TV is still a dominant force in the home and a high impact opportunity for advertisers. Connecting TV with voice assistants activates a new layer of engagement. Connekt’s proprietary solution can overlay real-time voice engagement instructions on top of a brand’s TV spot.
— Connekt (@connektinc) April 24, 2018
(2/2) The opportunities for engagement through voice are nearly limitless. Prompting a viewer to buy the featured product, add it to cart, locate a retailer, download an app, or send more info to mobile, as examples.
— Connekt (@connektinc) April 24, 2018
But TV 📺 is being displaced by mobile & digital & with quick connections to those & voice enabled already it’s EZr to utilize voice on Digital & now #XR realms which is where market is going 🤔 #AIChat
— BrainBlender🤔🌐 (@BrainBlenderTec) April 24, 2018
TV still holds majority share in the home when it comes to sight, sound, and motion. Consumer are spending 3+ hrs with live TV and advertisers can use an existing ad exposure to educate on voice.
— Connekt (@connektinc) April 24, 2018
Seems consumers are receptive to the idea of linking their voice devices to their TVs and purchasing products they see on their screens. But I think you would need to offer both options on own also to promote choice if they were intetested Mindful too of intrusion debate #AIChat
— PRKSheehan (@PRKezza) April 24, 2018
Q2) What’s the role of AI?
(1/3) Connekt’s proprietary AI is always on in the background, helping to identify within milliseconds, a brand exposure on TV, whether it be live, time shifted, streaming or VOD. We think of TV ads as one of the most logical access points.
— Connekt (@connektinc) April 24, 2018
(2/3) AI identifies precise moments using various real-time data sets, to trigger the delivery of an interactive asset on top of a TV ad or content. With voice integration we can provide live instructions on how to engage a voice device to get more from a brand.
— Connekt (@connektinc) April 24, 2018
(3/3) Some example prompts from the TV: “Hey Google, add Cheerios to my Walmart Grocery cart”, “Alexa, open Dominos and place an order”, “Alexa, talk to Best Buy”, “Ok Google, re-order Charmin toilet paper from Target”.
— Connekt (@connektinc) April 24, 2018
It will go beyond brands too. The health and wellbeing markets have huge opportunities here and also the actual health services, including local authorities! (depending on people’s settings preferences if and when) #AIChat
— PRKSheehan (@PRKezza) April 24, 2018
A2 #AI is voice control all of the systems utilize a measure of artificial Intelligence in use of voice it’s how they interact & adopt preferences 🌐🤔 #AIChat
— BrainBlender🤔🌐 (@BrainBlenderTec) April 24, 2018
Q3)Which types of TV programs have the biggest t-commerce potential?
(1/3) Over half of the respondents to our recent survey said they’d prefer to buy items featured on home improvement and cooking shows. In those cases, you’re reaching a highly relevant audience, and the expert personalities generate trust.
— Connekt (@connektinc) April 24, 2018
(2/3) Imagine seamlessly adding every ingredient for a recipe to a shopping cart by simply saying, “Alexa add ingredients for Giada’s Greek Pizza to my Walmart Grocery cart.”
— Connekt (@connektinc) April 24, 2018
(3/3) Strong responses also came in against buying the featured product from an infomercial, downloading movies featured during a live awards show, and buying featured team or player specific merchandise while watching a sporting event.
— Connekt (@connektinc) April 24, 2018
Q4) Why are consumers still resisting from using a voice assistant to buy a product during or after a TV show?
Limited knowledge base, not resistance. We must educate the marketplace on what capabilities exist within their voice enabled devices. We can help brands capitalize on certain, impulse driven moments on TV, and use voice to directly engage consumers at precisely the right time.
— Connekt (@connektinc) April 24, 2018
Limited knowledge base, not resistance. We must educate the marketplace on what capabilities exist within their voice enabled devices. We can help brands capitalize on certain, impulse driven moments on TV, and use voice to directly engage consumers at precisely the right time.
— Connekt (@connektinc) April 24, 2018
We’re big fans of friendly evangilization. It’s up to brands to get the word out en masse. Connekt is making it an easy, real-time add on to TV spots that are already in market.
— Connekt (@connektinc) April 24, 2018
Alexa alone, has over 25,000 active skills. How many do you use? There’s an incredible amount of untapped potential for brands to engage in a much more friction-less way with consumers. #AIChat
— Connekt (@connektinc) April 24, 2018
We’re here to help them. Always nice to get in on the ground floor and lead what will undoubtedly be a voice revolution! #AIChat
— Connekt (@connektinc) April 24, 2018
I was interviewed by Cathy Hackl (Twitter: @CathyHackl) on my thoughts on artificial intelligence and how it could change reputation management and communications.
Here’s the link to her article:
*** A thank you to Mia Dand, CEO of @LH3.com for editing this article. ***
Artificial intelligence (AI) is currently used in the entertainment industry. Combined with machine learning (ML) it can help networks and others get their content seen by the right people(1). It can also suggest to viewers what to watch next based on their interests. The key? Analyzing the metadata that’s used in the search optimization, ad targeting and recommendations.
How does machine learning help program AI?
By:
For example, Amazon uses AI to analyze scenes, objects and faces. It helps the company figure out what the viewers are clicking on.
When media and entertainment (M&E) businesses use ML, it helps them:
As AI starts using voice search in devices, the pay TV industry uses it to improve the viewer experience. An example? Food Network launching a search capability on Amazon voice enabled devices (Amazon Echo, Echo Dot, Amazon Tap, Amazon Fire TV). The viewer asks the devices about Food Network programs, schedules, recipes and more.
In the advertising world, AI can be used to personalize the content for the customer and advertiser. By using content intelligence, AI can examine what the viewers are watching and when and provides the advertiser a one to one marketing approach to the viewer.
Advertisers should consider AI as their partner that helps them analyze the data to find a fast solution (2). The pros and cons of using AI?
Pros:
Cons:
In the film industry, AI helps a movie studio figure out whether or not to make the film by analyzing the screenplay. Or determines the box office potential of a film before it’s released by using a neutral network algorithm to analyze 30 years worth data (box office revenues, film budgets, audience demographics and casting information).
Here are two examples where AI was used to write a short screenplay or scene:
AI can automatically create an edited clip that can be sent to another company or given to a human editor to create the final clip. For instance, IBM Watson selected the 10 most usable moments from the horror movie “Morgan.” The human editor created the movie trailer from the clips. This was done in 24 hours instead of taking 10-30 days using a human editor.
As machine learning continues to evolve, media companies can use the technology to create other types of content such as series and movie reviews (AI can find the data from different reviews to see what the critics or consumers are saying about it on social media or online).
AI should be seen as a partner.
