Information Ninja

#AIChat is a Twitter chat focused on artificial intelligence.

My guest(s) help you make sense of the artificial intelligence world. By giving you advice on how to use it.

On May 30th, my guest was @copywriterkerry.

The topic? See the first tweet below.

Mistakes are mine.

P.S. Take notes. Why? You’re going to learn a lot from Kerry.

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@nicktang @wearetinygiant #AIChat A1) It took a while to train AIDA. Our dataset was 10 years’ worth of talks. Every talk ever delivered at the Cheltenham science festival went into our neural network (AIDA)

— Kerryharrison (@copywriterkerry) May 30, 2019

Here’s the one #AIChat question for @copywriterkerry:
Q1) how hard was it to train AIDA to examine the data?

— Nick Tang (@nickhtang) May 30, 2019

@nicktang @wearetinygiant #AIChat A1) It took a while to train AIDA. Our dataset was 10 years’ worth of talks. Every talk ever delivered at the Cheltenham science festival went into our neural network (AIDA)

— Kerryharrison (@copywriterkerry) May 30, 2019

A1) We ran the neural network over several days. At first the output was bonkers, but over time we got some great results.

— Kerryharrison (@copywriterkerry) May 30, 2019

A1a) without breaking any confidential agreements, could you describe how bad the output was? #AIChat

— Nick Tang (@nickhtang) May 30, 2019

A1a)#AIChat. In the first couple of epochs, the output is pretty nonsensical. We trained ours letter by letter, so many of the words don’t make sense initially. After time, you get full words that mean something.

— Kerryharrison (@copywriterkerry) May 30, 2019

This is the initial output @nickhtang. #AIChat pic.twitter.com/2UTVbm3ajs

— Kerryharrison (@copywriterkerry) May 30, 2019

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@wearetinygiant #AIchat. Data is definitely the key. 10 years’ of talks gave us a strong dataset, which meant our results were good.

— Kerryharrison (@copywriterkerry) May 30, 2019

Q2 for @copywriterkerry What types of innovative programming did #AIDA create for https://t.co/YfHchwp4qh (again, without breaking any confidentially agreements etc)? #AIChat

— Nick Tang (@nickhtang) May 30, 2019

@wearetinygiant #AIChat AIDA was also able to create a foreword for the front of the brochure. This sits alongside the forewords from the 3 human guest curators at the festival.

— Kerryharrison (@copywriterkerry) May 30, 2019

@wearetinygiant #AIChat. We put AIDA’s talk titles out to a public vote. Introvert Narwhals was the chosen talk. This event will happen live next Saturday at the Festival https://t.co/JQZLQavZga

— Kerryharrison (@copywriterkerry) May 30, 2019

I can’t wait as well! Do you have any idea the festival goers will react? #AIChat

— Nick Tang (@nickhtang) May 30, 2019

#AIChat. So far everyone has been very encouraging and a little intrigued. The festival attracts people who are curious about the world around them, so I think they’ll love AIDA and find the whole event interesting and inspiring. We hope so anyway!

— Kerryharrison (@copywriterkerry) May 30, 2019

@wearetinygiant #AIChat. AIDA created a range of weird and wonderful talk suggestions for the Festival. These included: Space Dinosaurs, Introvert Narwhals, Aliens What What?, Everest Spoon Science and The Perfume Greenland Mystery!

— Kerryharrison (@copywriterkerry) May 30, 2019

How did the human event managers etc react when they saw the suggestions? #AIChat

— Nick Tang (@nickhtang) May 30, 2019

#AIChat The Cheltenham Festival team have been absolutely amazing. The festival co-ordinator, loved the talk titles, and we’ve had a lot of fun on our adventures together.

— Kerryharrison (@copywriterkerry) May 30, 2019

#AIChat is a Twitter chat on artificial intelligence.

My guest(s) give you actionable ideas you can immediately use at home or work.

On April 17th, 2019, my guests for #AIChat were @adlibsoftware and @Adlib_ScottM.

The topic? The Achilles Heel of AI (credit goes to team at @adlibsoftware for the topic title and their help with the questions).

Mistakes are mine.

———————

Here’s Q1 for @adlibsoftware and @Adlib_ScottM:

AI is the buzzword of the day – where are we on the hype cycle? Innovation trigger, inflated expectations, disillusionment, enlightenment or real productivity? #AIChat

— Nick Tang (@nickhtang) April 17, 2019

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A1a: All of the above or true, depending on each business’ unique situation, their industry and where they’re at in terms of adopting #AI (or considering it). #AIChat

— Adlib Software (@adlibsoftware) April 17, 2019

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A1b: Here’s a resource from @McKinsey regarding the rate of #AI adoption. They’re reporting that half of the organizations they surveyed have embedded #AI, with another 30% in the pilot stage: https://t.co/uLmi1vq6Fh #AIChat

— Adlib Software (@adlibsoftware) April 17, 2019

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A1c: Also, according to @McKinsey — by sector – firms in telecom, high-tech and FinServ are leading the way in overall #AI adoption: https://t.co/uLmi1vq6Fh #AIChat

— Adlib Software (@adlibsoftware) April 17, 2019

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From my perspective, you can’t leverage what you don’t know. Critical to find out what’s in those untouched repositories of documents to learn from the past and inform the future leveraging #AI. #AIChat

— Nancy MacMillan (@NancyMAC29) April 17, 2019

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I think we’re coming out of disillusionment and into enlightenment. There are some real world examples of AI working. Retail, Insurance… #AIChat https://t.co/Pgruc1v8lQ

— Scott Mackey (@Adlib_ScottM) April 17, 2019

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Scott is correct, AI is a broad term that’s widely applied. There are already real world use cases with notable benefits, but there’s a sensationalized viewpoint in public perception. Educating the public is as much of a challenge as implementation #AIChat

— Colin McGuire (@realColinMac) April 17, 2019

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As you’re talking Q1, here’s the next question for @adlibsoftware and @Adlib_ScottM

Q2) Can AI work without structured data to drive it? #AIChat pic.twitter.com/yP3AG4bQUj

— Nick Tang (@nickhtang) April 17, 2019

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A2a: #AI requires massive amounts of data to train its algorithms. The more data it has, the more accurate it becomes. Structured data is essential for this! #AIChat

— Adlib Software (@adlibsoftware) April 17, 2019

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A2b: The challenge with data for #AI engines stems from unstructured content, which isn’t machine-readable such as emails, scanned documents, images etc. and it typically makes up about 80% of enterprise content. #AIChat

— Adlib Software (@adlibsoftware) April 17, 2019

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A2c: Another challenge with #UnstructuredData (beyond its existing volume) is that it’s growing at a rate of 26.8% annually, according to @IDC, making it imperative for #DataGovernance now versus later. #AIChat

— Adlib Software (@adlibsoftware) April 17, 2019

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Sure it can work, but with 80% of data locked up in unstructured content, value will be limited. #AIChat

— Rob Schaafsma (@SchaafsmaRob) April 17, 2019

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Nope…it’s a blind spot. So much of it’s power comes from having the data to perform it’s magic. Data locked in #unstructured documents is a challenge! #AIChat https://t.co/ii6c7rmezZ

— Scott Mackey (@Adlib_ScottM) April 17, 2019

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Onto Q3 with @adlibsoftware and @Adlib_ScottM

Q3) To those thinking about AI – how would they tackle the unstructured data challenge? #AIChat

— Nick Tang (@nickhtang) April 17, 2019

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Start with the outcome in mind – what are you trying to achieve, then dig into the underlying elements that will feed that outcome. People, process, technology…and the data sources required. https://t.co/mobfnEgxHB

— Scott Mackey (@Adlib_ScottM) April 17, 2019

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A3a: To get started with #AI, businesses need to address their #DataStrategy, with an end goal of achieving better access to quality data. #AIChat

— Adlib Software (@adlibsoftware) April 17, 2019

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A3b: You can check out this blog post that speaks directly to *how* businesses can achieve #BetterData for #AI that is ✔ accessible ✔ timely and ✔ relevant: https://t.co/Hk0aOr0Gpe #AIChat pic.twitter.com/Br8VWrEdgz

— Adlib Software (@adlibsoftware) April 17, 2019

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#Content needs to be made machine readable, recognized as a particular type, then have data extracted according to that type. For example: EffectiveDate from a contract. #AIChat

— Rob Schaafsma (@SchaafsmaRob) April 17, 2019

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A3 Yes & No as #AI will simplify tasks as well as convert data into efficient streams as well as filter out the waste but there is still to what ends what is you use that’s often where the hard questions come in Utilization 🌐🤔 #AIChat

— BrainBlender🤔🌐 (@BrainBlenderTec) April 17, 2019

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As you’re learning from @Adlib_ScottM and @adlibsoftware during #AIChat here’s the last question for them:

Q4) Do businesses need to address their underlying data processes before applying AI – agree or disagree, and if so, how? #AIChat pic.twitter.com/6aqXZ74Ywk

— Nick Tang (@nickhtang) April 17, 2019

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A4a: If they want to see success with #AI, data standardization, extraction using #OCRsoftware and AI-based data classification are essential to achieve machine-consumable content. #AIChat

— Adlib Software (@adlibsoftware) April 17, 2019

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A4b: We also want to emphasize the need for an ongoing #DataGovernance strategy that automatically addresses content as it’s created, versus a one-time data-enrichment process. Here’s the 411: https://t.co/ytxXgDpjIf #AIChat pic.twitter.com/tsxS3f5vOj

— Adlib Software (@adlibsoftware) April 17, 2019

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Agree. You need to ensure the fuel you’re using for #AI is clean, broadly sourced and relevant. That said – you don’t have to wait, there may be use cases where you have good data and can get started. #AIChat https://t.co/maLRLz3GMZ

— Scott Mackey (@Adlib_ScottM) April 17, 2019

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A note before we wrap up! Prior to enhancing your #DataQuality, it’s essential to understand what content you’re working with. Here’s how you can kick-start this process: https://t.co/ZuM703Kgki #AIChat pic.twitter.com/ya2pc55fvo

— Adlib Software (@adlibsoftware) April 17, 2019

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If you take away just one thing from today’s #AIChat, let it be the importance of #DataQuality in digital business. Here’s a look at how Adlib delivers #BetterData: https://t.co/PUbw1WXFBQ pic.twitter.com/laXS2hvZHk

— Adlib Software (@adlibsoftware) April 17, 2019

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#AIChat is a Twitter chat on artificial intelligence. Where my guests cut through the artificial intelligence (AI) noise. To help you make smarter AI decisions at work. Or at home.

On March 25th, 2019 my #AIChat guest was @nassaraf.

And instead of a live Twitter chat (it was competing with the Apple Event that day), I decided to post the #AIChat questions. With a one week cutoff to allow everyone to post their answers.

Here’s the AIChat recap of that day.

**** Mistakes are mine. ****

4/n Here are the #AIChat questions for @nassaraf:
Q1) How can VR help neurological issues like ADHD? #AIChat
Q2) What is the #AI element involved with it? #AIChat pic.twitter.com/P4e7T7ONft

— Nick Tang (@nickhtang) March 25, 2019

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A1 #VR #AR & #XR can help ADHD by stimulating different parts of the brain & providing alternate pathways to guided retention but real benefits come from #AI augmented neural programming which although has its➕➖ can correct 🤔 #AIChat

— BrainBlender🤔🌐 (@BrainBlenderTec) March 25, 2019

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Q2 The #AI element can see which areas of the brain are being effected & reprogram those areas or can load information which would otherwise be problematic for retention 🤔 #AIChat

— BrainBlender🤔🌐 (@BrainBlenderTec) March 25, 2019

A1) Thank you @nickhtang! I think I’m making it just in the “Nick” of time 😏.
Here’s my take: #VR‘s great for practicing games where your neuro skills are weak, the idea being that you can create new neural pathways, or strengthen old ones through multi-sensory feedback. #AIchat

— ᑎᗩOᗰI ᗩᔕᔕᗩᖇᗩᖴ 👩🏽‍💻 (@nassaraf) April 1, 2019

A1) Cont’d:
If you have social skill issues, a good example would be a #VR game to interactively practice social behaviors. You could score points for socially acceptable behaviors on a point system, and with practice, you’ll be able to understand social behaviors in IRL.#AIchat

— ᑎᗩOᗰI ᗩᔕᔕᗩᖇᗩᖴ 👩🏽‍💻 (@nassaraf) April 1, 2019

A1) Cont’d
Memory games for example, help different neurological issues like #alzheimer‘s, #ADHD, and more.
For Alzheimer’s VR treatment, imagine practicing how to get “lost” the middle of a town and practice being able to find the grocery store, post office, etc.#AIchat

— ᑎᗩOᗰI ᗩᔕᔕᗩᖇᗩᖴ 👩🏽‍💻 (@nassaraf) April 1, 2019

A1) Cont’d
Here’s a good article about Alzheimer’s VR treatments: https://t.co/TtnTbWncGJ#AIchat

— ᑎᗩOᗰI ᗩᔕᔕᗩᖇᗩᖴ 👩🏽‍💻 (@nassaraf) April 1, 2019

A1) Cont’d
One night, I met @mayabourdeau, founder of https://t.co/cWP15kiGZO. They create video experiences for end of life #storytelling.

What if that can become a VR game? It would be self-created rehab exercise insurance in case you ever get diagnosed w/ Alzheimer’s#AIchat

— ᑎᗩOᗰI ᗩᔕᔕᗩᖇᗩᖴ 👩🏽‍💻 (@nassaraf) April 1, 2019

A1) Another good one is Project EVO from @AkiliLabs. They are creating #VR games for #ADHD kids to practice memory, and get this- to REPLACE meds.https://t.co/FAQyEbY5x3
#AIChat

— ᑎᗩOᗰI ᗩᔕᔕᗩᖇᗩᖴ 👩🏽‍💻 (@nassaraf) April 1, 2019

A2) #AI is the best solution for pattern recognition, and with supervision, can be helpful with diagnosis.
If we look at brain scans, we can see how ADHD brains work very differently (and interestingly have higher incidence of Alzheimer’s)https://t.co/HUKPLRs59z#AIchat pic.twitter.com/GImuCaJf5w

— ᑎᗩOᗰI ᗩᔕᔕᗩᖇᗩᖴ 👩🏽‍💻 (@nassaraf) April 1, 2019

A2) So, if we can use #AI to understand pattern recognitions not just of brain scans, but also of symptoms in actual cases that are recorded, it can help ADHD sufferers learn how to cope with things like deadlines, “boring” tasks, and so on. #AIchat

— ᑎᗩOᗰI ᗩᔕᔕᗩᖇᗩᖴ 👩🏽‍💻 (@nassaraf) April 1, 2019

A2) What’s really difficult to accept is the current testing system for ADHD. A lot of it is parental or teacher feedback, which is bothersome, because feedback is always tainted with bias.#AIchat

— ᑎᗩOᗰI ᗩᔕᔕᗩᖇᗩᖴ 👩🏽‍💻 (@nassaraf) April 1, 2019

A2) In Project Evo (mentioned above), this game adjusts to the gamer’s speed, constantly testing how well their reaction time is, while keeping them engaged with faster music and other stimuli. #AIchat

— ᑎᗩOᗰI ᗩᔕᔕᗩᖇᗩᖴ 👩🏽‍💻 (@nassaraf) April 1, 2019

A2) So to conclude, #AI can help identify neurological issues and help to rebuild neurological pathways, while #VR is an immersive and *SAFE* (keyword) environment for the patient to explore their mental therapy.#AIchat #Mentalhealth

— ᑎᗩOᗰI ᗩᔕᔕᗩᖇᗩᖴ 👩🏽‍💻 (@nassaraf) April 1, 2019

#AIChat is a Twitter chat on artificial intelligence.
My guest(s) cut through the artificial intelligence noise.
To help you make smarter artificial intelligence decisions.
At work. And in your life.
On March 7th, 2019, my guest for #AIChat was @calomas.
The topic? Artificial intelligence project model.
*** Mistakes are mine. ***

Here’s question #1 for @calomas:
Q1) What’s an #AI project model? #AIChat pic.twitter.com/RuGPcXYZAD

— Nick Tang (@nickhtang) March 7, 2019

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#AIchat A1: The #AIbusinessModelCanvas is inspired by the #BusinessModelCanvas, but tailored to the #AI subject matter, because it needs to be thought about differently. #business #tech #leadership #prodmgmt #4IR #futureofwork

— Christopher Lomas 🤖🚀 (@calomas) March 7, 2019

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#AIchat A1: Truth is, 41% of 3,000 executives @McKinsey_MGI study said they’ve yet to adopt #AI because they’re unsure about how it can help their organization! https://t.co/8mWggVywFj #AIBusinessModelCanvas #business #leadership #4IR

— Christopher Lomas 🤖🚀 (@calomas) March 7, 2019

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#AIchat A1: The aim of creating the #AIBusinessModelCanvas was to help #leaders think through how do you tackle #AI projects in their company. #business #tech #leadership #prodmgmt #4IR

— Christopher Lomas 🤖🚀 (@calomas) March 7, 2019

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#AIchat A1: #AIbusinesModelCanvas was created to help #Innovation + #Leadership Teams articulate the #AI vision for their orgs, for in my experience, and as @MITsmr highlights: “The gap between ambition and execution is large at most companies”. https://t.co/Gq3FXv8uTn #tech #4IR

— Christopher Lomas 🤖🚀 (@calomas) March 7, 2019

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#AIchat A1: I felt it was time someone adjusted the original #BusinessModelCanvas to be more targeted at capturing the considerations for new #AI products + services. #business #tech #leadership #prodmgmt #4IR #ArtificialIntelligence #automation #robotics

— Christopher Lomas 🤖🚀 (@calomas) March 7, 2019

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Hey Christoper and @nickhtang. We took a look at your #BusinessModelCanvas. It was great to see #Data as one of your key considerations for #AI deployments. 🔐 File analytics is the name of our game, so we’re all for your mention of #BetterData. #AIchat

— Adlib Software (@adlibsoftware) March 7, 2019

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#AIchat A1: I’d be interested to hear if folks in #AIchat think there a coherent #AI tech stack, at their org, or still lots of experiments with Open Source technologies? #AIBusinessModelCanvas #business #tech #leadership #prodmgmt #4IR #automation #robotics #healthtech #fintech

— Christopher Lomas 🤖🚀 (@calomas) March 7, 2019

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I think Open Source technologies are great to get into the AI. Being able to experiment with bleeding edge tech, like Clickhouse before committing to redesigning tech stack is a relatively safe and cost effective way to get into the game.

— Maciej Nowak (@MaciekNowakT) March 7, 2019

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A1 #AI Project model is a roadmap to use & implementation of using AI in your Biz or projects it’s a risk needs roadmap that helps you se what can be done 🤔 #AIChat

— BrainBlender🤔🌐 (@BrainBlenderTec) March 7, 2019

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A1 #AI Project model is a roadmap to use & implementation of using AI in your Biz or projects it’s a risk needs roadmap that helps you se what can be done 🤔 #AIChat

— BrainBlender🤔🌐 (@BrainBlenderTec) March 7, 2019

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As you’re talking Q1 with @calomas here’s Q2) How can it help other companies create an #AI process? #AIChat pic.twitter.com/V80nfPEhp4

— Nick Tang (@nickhtang) March 7, 2019

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#AIchat A2: There are inherently new considerations for #AI business models, that need to be called out:

Where is your data today?
What form is it in?
What outputs do we want?
What new skills will we need?https://t.co/KXsiiFzDxF #futureofwork #AIBusinessModelCanvas #tech #4IR

— Christopher Lomas 🤖🚀 (@calomas) March 7, 2019

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#AIchat A2: I’m also keen that orgs/ #leadership see that #AI has known constraints or practical limiting factors that may slow down the pace, or decrease the scope of their product https://t.co/q2nedkGOya #AIBusinessModelCanvas #4IR #data #automation #MachineLearning #robotics

— Christopher Lomas 🤖🚀 (@calomas) March 7, 2019

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It’s not a magic pill, it needs careful thinking through and also you can’t just “Build” something and it will work, it needs training and maintaining and tuning … bit like children!

— Christopher Lomas 🤖🚀 (@calomas) March 7, 2019

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#AIchat A2: In the #AIBusinessModelCanvas I call out the real issue that most orgs will have around getting started with #AI, which is the Resources to ‘Train, Maintain + Explain’ AI products: https://t.co/czyJo4jBUv by @MITsmr @pauldaugh #hplusm #futureofwork

— Christopher Lomas 🤖🚀 (@calomas) March 7, 2019

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A2 Anything that helps people relate In adopting is a good thing We did a test where an #AI VPA gave the implementation presentation It had mixed reactions as the fear level surfaced 🤔 #AIChat

— BrainBlender🤔🌐 (@BrainBlenderTec) March 7, 2019

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A2 Anything that helps people relate In adopting is a good thing We did a test where an #AI VPA gave the implementation presentation It had mixed reactions as the fear level surfaced 🤔 #AIChat

— BrainBlender🤔🌐 (@BrainBlenderTec) March 7, 2019

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No as most think #AI & #ML are synonymous reality is that yes AI is like a baby but every day that baby doubles brain capacity so by day 4 it’s an adult & absorbing data globally rewriting itself & questioning efficiency of tasks ML stays within a set task & optimizes 🤔 #AIChat

— BrainBlender🤔🌐 (@BrainBlenderTec) March 7, 2019

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I don’t find that an issue as we see whole industries creating events to have it explained to them & then utilizing what they learned CES this yr was more of an implementation meeting than a conf this yr which is how things have been moving 🌐🤔 #AIChat

— BrainBlender🤔🌐 (@BrainBlenderTec) March 7, 2019

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#AIChat is a 20-30 minute Twitter Chat on artificial intelligence.

That cuts through the artificial intelligence noise.

To help you make smarter artificial intelligence decisions.

On Thursday, February 21, 2019, my guests were Yves Bergquist (Twitter handle: @punkstrategy) and Peter D. Cathy (Twitter handle:@pcsathy)

The topic? Artificial intelligence, media and technology.

——- Mistakes are mine ——-

This is the only question @pcsathy and @punkstrategy will talk about on #AIChat. Q1) how can #AI impact the #media/#tech world?

— Nick Tang (@nickhtang) February 21, 2019

A1) #AI can impact in some obvious ways – with deeper #video personalization, recommendations. It’s all-out #SVOD wars, and AI-fueled personalization is a key battleground amongst behemoths like #Netflix, #Amazon (& soon to be Apple & Disney) #AIChat

— Peter D. Csathy (@pcsathy) February 21, 2019

There are many opportunities to develop better audience insights in the media industry. For example, we’ve developed models for a big music publisher that can predict the Spotify performance of any track with 98% accuracy 10 days out.

— Yves Bergquist (@punkstrategy) February 22, 2019

Sorry joining this thread a little late. When you think about AI in media, you have to think of two broad categories of value proposition: (1) optimization and (2) insights

— Yves Bergquist (@punkstrategy) February 22, 2019

Absolutely agree on both points as being two broad categories of value proposition

— Peter D. Csathy (@pcsathy) February 22, 2019

(1) optimization means that there are many aspects of production and post-production that can be optimized, to reduce costs and speed up time to market. This is especially important, as Peter mentioned, in the SVOD era.

— Yves Bergquist (@punkstrategy) February 22, 2019

Media making has 100s of tasks, jobs, processes, that nobody has ever heard of, that would greatly benefit from #ai. For example: asset tracking and archiving, for example. In Post, you have 100s of versions of the same file, it’s hard (and expensive) to keep track of

— Yves Bergquist (@punkstrategy) February 22, 2019

(2) the second category, insights, has to do with using ML and AI to build a giant microscope to look much more deeply into content, audiences, and the cognitive relationship between the two. We spend a lot of time and resources at ETC and Corto building applications like that

— Yves Bergquist (@punkstrategy) February 22, 2019

We can predict Spotify performance just with audio features of the track with 75% + accuracy. It’s pretty incredible, now music marketing can be managed like stock trading

— Yves Bergquist (@punkstrategy) February 22, 2019

1/2 Lets first establish that there are ethical concerns with #AI. The deeper we go with the tech, the scarier it can be. Even on a surface level of Netflix recommendations. Do I want an AI to know me better than me? But its impact could improve how we bank, curate information

— Bobby Carlton #VR/#AR/#XR/#Tech/#Futurist (@bcarlton727) February 21, 2019

2/2 and I do think that AI has the ability to simplify our lives. But I see a blended world of tech that uses #AR, #AI, #wearables, #smartdevices all together in cars, our homes, work, and schools, and its impact will be incredibly scary.

— Bobby Carlton #VR/#AR/#XR/#Tech/#Futurist (@bcarlton727) February 21, 2019

A2) #AI will increasingly smartly predict the shows/content that will be compelling to you (to help you find the content needles in the increasingly massive video haystack) #AIChat

— Peter D. Csathy (@pcsathy) February 21, 2019

A3) #Netflix’s recent #Bandersnatch experiment (a story that allows you to choose which path to take) will evolve to AI choosing the story-line that most appeals to you #AIChat

— Peter D. Csathy (@pcsathy) February 21, 2019

A4) #AI is getting so good at text – imagine #AI drafting full screenplays – that developer #OpenAI won’t make its most recent version publicly available for fear of downside risks #AIChat

— Peter D. Csathy (@pcsathy) February 21, 2019

Not going to happen for a long time Peter

— Yves Bergquist (@punkstrategy) February 22, 2019

Well, they are not making it publicly available now because they are concerned. And absolutely believe it will happen sooner than we think

— Peter D. Csathy (@pcsathy) February 22, 2019

A5) Imagine #AI being used to draft news stories so believable that we can’t know the truth from not – because it is happening now #AIChat

— Peter D. Csathy (@pcsathy) February 21, 2019

A5a. Follow up -> off the top of your head, do you know any case studies of this? #AIChat

— Nick Tang (@nickhtang) February 21, 2019

Nick — check this out – https://t.co/c35OXxKLn1

— Peter D. Csathy (@pcsathy) February 21, 2019

I disagree with Peter here, AI-generated screenplays won’t happen for a long time, for a lot of technical reasons (mostly due to the inability of current ML architectures to abstract low-level data into symbols, which are what stories are made of)

— Yves Bergquist (@punkstrategy) February 22, 2019

It’s only a matter of time Yves, however. Believe me, I believe in humanity-fueled creativity. I still believe that, no matter what, an inner human “soul” element exists that will never be surpassed in the arts

— Peter D. Csathy (@pcsathy) February 22, 2019

The other reason why this isn’t a good idea is that a considerable part of media consumption is related to human brands designing products that are compelling because they draw on a common understanding and appreciation of the human condition

— Yves Bergquist (@punkstrategy) February 22, 2019

A6) In the world of music, we increasingly listen to our favorite artists and songs via AI-powered Alexa, Siri and Google Voice #AIChat

— Peter D. Csathy (@pcsathy) February 21, 2019

A7) AI-driven platforms are now a central focus for all major music services like #Spotify #Pandora #AppleMusic #AIChat

— Peter D. Csathy (@pcsathy) February 21, 2019

A8) Let’s go deeper – #AI will increasingly transform our live experiences as well. We will be able to intelligently interact & engage with those not physically present with us, but in the meta-verse. Check out Vortex Immersion Media https://t.co/hdMXSevmXl

— Peter D. Csathy (@pcsathy) February 21, 2019

That I believe in, but I want to extend it even further: we’re doing research at ETC on telling personalized stories on the scale of an entire city: THAT is the future we’re building

— Yves Bergquist (@punkstrategy) February 22, 2019

@PRKezza @mpfalangi -> any #AIinPR implications?

— Nick Tang (@nickhtang) February 21, 2019

Absolutely — I see it in two ways: 1/2 Check out my earlier comment about #AI driven text being so good that we won’t be able to distinguish between “real” PR and “fake” PR. Now anyone will sadly have the opportunity to being a fake spokesperson #AIChat

— Peter D. Csathy (@pcsathy) February 21, 2019

Definitely- have touched on this a bit more here https://t.co/4wo318ywUA

— Maria Loupa (@mpfalangi) February 21, 2019

2/2 On the more proactive front, #AI will help PR specialists to much more quickly identify stories, news, etc. that impact their client, company, etc. in order to respond as expeditiously and effectively as possible #AIChat – even automatically/instantaneously

— Peter D. Csathy (@pcsathy) February 21, 2019

A9) And, in the world of AR/games – check out how #AI-driven AR objects/characters interact intelligently in real-world situations and environments. #TediBerry is one to watch – check out this demo https://t.co/ZZ3HgD8cyu⁰ #AIChat

— Peter D. Csathy (@pcsathy) February 21, 2019

Sorry to have missed this #AIChat. Great to learn about the #AI impacts in the media & ent sector. Personalization is a key AI trend spanning many industries that we work with as well, incl #banking, #finance & #insurance — all with a goal to drive #CX.

— Adlib Software (@adlibsoftware) February 22, 2019

How soon will AI be used on things like EPGs?

— Jenny Priestley (@jennypriestley) February 21, 2019

Electronic Programming Guide (I haven’t had my 3rd cup of coffee yet Jenny)?

— Nick Tang (@nickhtang) February 21, 2019

Ahh, I see your question now! AI is already used in EPGs. AI is already being used significantly in all modes of navigation for the major SVODs and OTTs

— Peter D. Csathy (@pcsathy) February 21, 2019

Thanks for the swift reply! As someone who used to sign off EPG content I’m yet to be convinced AI works better than humans. We shall see… 😀

— Jenny Priestley (@jennypriestley) February 21, 2019

No one knows how far #AI will go — but, it appears to be rather daunting … and downright scary at times and in certain contexts. Am not a doom and gloom kind of guy — but #AI will disrupt our lives and professions much more than most of us think

— Peter D. Csathy (@pcsathy) February 21, 2019

#AIChat is a 30 minute Twitter chat. Where my guest(s) talk about artificial intelligence. And give you the insights you need to succeed at work. Or in your life.

Today’s guest? Katie King (her Twitter handle? @katieeking) The topic? Artificial intelligence and marketing.

**** Mistakes are mine ****

Here’s Q1 for @katieeking: Why are marketers afraid of AI? #AIChat pic.twitter.com/Cy0zFZX4FI

— Nick Tang (@nickhtang) February 20, 2019

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A1 – Marketing pros are fearful of losing jobs. Truth is, #AI will alter all tasks not wholescale jobs. Currently in period of assisted & augmented intelligence. The future could be more worrying; that is about autonomous intelligence. Long way off says @PwC_UK #AIChat

— Katie King, MBA (@katieeking) February 20, 2019

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A1 – As @Ingers1975 @PRCA_UK says in my book, “The obvious aspects of work, which are likely to be impacted first, will be monitoring and reporting. These are the elements where our industry expends its time least profitably." #AIChat

— Katie King, MBA (@katieeking) <a

Anything repetitive really although now we are seeing anything statistically guided being #AI replaced 🌐🤔 #AIChat

— BrainBlender🤔🌐 (@BrainBlenderTec) February 20, 2019

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A1 – As @Wadds from @CIPR_UK says in my book: “I would urge anyone to take a proactive approach to technology within their organization. Explore the changes that technology is driving in media and PR. There’s a growing body of knowledge related to AI and the professions" #AIChat

— Katie King, MBA (@katieeking) February 20, 2019

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As you keep talking about Q1, let’s roll out Q2 for @katieeking #AIChat: What type of guidelines do marketers need to implement AI? #AIChat

— Nick Tang (@nickhtang) February 20, 2019

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A2 – There are currently no definitive industry guidelines for #marketing. Check out my Scorecard for success in my book – https://t.co/abu9YEDlde – Not hype but evidence from my well researched book #AIChat

— Katie King, MBA (@katieeking) February 20, 2019

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A2 – My scorecard for success in the book covers a number of key areas, from mindset to culture, and experimenting to having a roadmap. But it all hinges on the goals of the organisation. Will you be a laggard or an innovator? to quote @Gartner_inc #AIChat

— Katie King, MBA (@katieeking) February 20, 2019

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A2 – James Delves, Head of #PR @CIMinfo says in my book “A lot has been written about IoT, big data, cloud, robotics – but #AI is set to rule them all. If you’re in marketing or PR you need to read this book, as AI is set to change the face of both professions for good,” #AIChat

— Katie King, MBA (@katieeking) February 20, 2019

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A2 – James Delves, Head of #PR @CIMinfo says in my book “A lot has been written about IoT, big data, cloud, robotics – but #AI is set to rule them all. If you’re in marketing or PR you need to read this book, as AI is set to change the face of both professions for good,” #AIChat

— Katie King, MBA (@katieeking) February 20, 2019

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A2 – we all have to play our role in setting the guidelines as #AI is BIG. It impacts trust, ethics, transparency. No one has all the answers so get involved with your industry body to ensure it's focused on doing good and being equitable #AIChat

— Katie King, MBA (@katieeking) February 20, 2019

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A2 – I’m part of a new All Party Parliamentary Group Taskforce @APPG_AI looking at the adoption of #AI in enterprise – https://t.co/LmGOxkREmE so I'd love to hear your views on AI's impact on #marketing and wider business per se #AIChat

— Katie King, MBA (@katieeking) February 20, 2019

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A2 – In the book I share real-world examples, #AI successes & failures from #banking, #retail, #tourism, as well as practical implementation strategies. Chapters in the book also tackle business and societal issues such as motivation, job losses, ethics, and trust #AIChat

— Katie King, MBA (@katieeking) February 20, 2019

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A2 – for any #MiddleEast followers, I'm off to #Dubai 26 March. I’m running 1-day #training course on how to harness #AI for business growth. EventBrite details here –https://t.co/cBg5U47nEP – #AIChat

— Katie King, MBA (@katieeking) February 20, 2019

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